The post-pandemic reality. Macroeconomic turbulence. Explosive technology innovations. Generational shifts in technological expectations. All these forces and more drive rapid, often confusing change in organizations large and small.

With every such change comes opportunity–for bad actors looking to game the system. Cybersecurity cannot stand still, or the waves of innovation will overrun the shores.

Adversaries continue to innovate. Keeping up–and hopefully, staying ahead–presents new challenges. Here is a short list of recent considerations for CIOs as they work with their teams to shore up their defenses.

Multifactor authentication fatigue and biometrics shortcomings

Multifactor authentication (MFA) is a popular technique for strengthening the security around logins. With MFA, the website or application will send a text message or push notification to the user with a code to enter along with their password.

MFA fatigue or ‘push phishing’ is a popular hack that targets MFA by repeatedly sending the user superfluous, malicious MFA notifications in hopes they inadvertently accept one or simply click to stop the annoying flood of messages.

In other cases, MFA includes a biometric step–reading a fingerprint, scanning a face, and the like. Users appreciate the convenience of biometrics, but they have their flaws as well. 

Sometimes they simply don’t work, perhaps due to a change in contact lenses or a new tattoo. Any spy thriller aficionado will also know it’s possible to ‘steal’ someone’s fingerprint or facial image–and once an individual’s biometric is compromised, there’s no way to change it the way we change passwords.

Security implications of ChatGPT and its ilk

ChatGPT and other generative AI technologies have taken the world by storm, but the combination of their sudden popularity and a general lack of understanding of how they work is a recipe for disaster.

In reality, generative AI presents a number of new and transformed risks to the organization. For example, ChatGPT is eerily proficient at writing phishing emails–well-targeted at particular individuals and free from typos.

A second, more pernicious risk is the fact that ChatGPT can write malware. Sometimes the malware has errors, but with simple repetition the hacker can generate multiple working versions of the code. Such polymorphic malware is particularly hard to detect, because it may be different from one attack to another.

Securing the software supply chain

The Log4j vulnerability that reared its ugly head in late 2021 showed a bright light on the problem of software supply chain security.

Most commercial enterprise software products and nearly all open-source ones depend upon numerous software packages and libraries. Many of these libraries are themselves open-source and depend upon other libraries in a complex network of opaque interdependencies.

Some of these components have professional teams that test and maintain them, releasing security patches as needed. Other open-source components are the result of some lone developer’s moonlighting activities from years past. 

For each open-source component in your entire IT infrastructure, which are the well-maintained ones, and which are the forgotten work of hobbyists? And how do you tell?

Getting ahead of the ransomware gangs

Ransomware is big business for the criminal gangs who have figured out how to capitalize on it. The malware itself is easy to buy on the Dark Web. In fact, there’s a veritable bazaar of ransomware variations, as hackers maneuver to create the most pernicious version.

From the enterprise side, the ransomware problem is multifaceted and dynamic. The malware itself continues to evolve, as do the criminal strategies of the perpetrators. 

The most familiar strategy–encrypting files on servers and then demanding a ransom for the decryption key–is but one approach among many. Other attackers steal data and threaten to release it to the public. Another angle is to target the victim’s backups.

No list of strategies and techniques does the ransomware problem justice, as the bad guys continue to innovate. CIOs and CISOs must remain eternally vigilant.

Managing costs while supporting digital transformation

The Covid pandemic accelerated many digital transformation initiatives as executives struggled to meet the suddenly changing needs of both customers and employees.

Today, economic challenges generate digital transformation headwinds as the needs of customers and employees change once again to address post-pandemic realities.

Cybersecurity budgets are typically caught between these two forces. Given the importance of meeting customer needs on limited resources, how important is cybersecurity?

It’s vitally important, of course – but it’s only one of the many risks CIOs must mitigate. Other risks include operational risk (the risk of downtime), technical debt risk (the risk of failures of legacy technologies), as well as compliance risk.

There’s never enough money to drive all these risks to zero–so how should executives decide which risks to mitigate and how much money and time to spend mitigating them?

Organizations must be able to engineer comprehensive risk management that quantifies each type of risk and establishes risk targets that conform to budgetary and human resource limitations.

This ‘threat engineering’ gives CIOs a justifiable approach to making cybersecurity expenditure decisions while also mitigating the other risks facing the IT organization.

Advice moving forward

This article highlights modern security trends for CIOs that weren’t on anybody’s radar as little as five years ago. Five years from now, the list might once again be entirely different.

Such is the nature of cybersecurity risk management. The risks continue to evolve as adversaries improve their strategies. CIOs must remain vigilant while they leverage state-of-the-art cybersecurity tools and strategies to keep one step ahead of the bad guys.

Read the eBook: Views from the C-suite: Why endpoint management is more critical than ever before

© Intellyx LLC. Tanium is an Intellyx customer. Intellyx retains final editorial control of this article. No AI was used in the production of this article.


We’ve entered another year where current economic conditions are pressuring organizations to do more with less, all while still executing against digital transformation imperatives to keep the business running and competitive. To understand how organizations may be approaching their cloud strategies and tech investments in 2023, members of VMware’s Tanzu Vanguard community shared their insights on what trends will take shape.

Tanzu Vanguards, which includes leaders, engineers, and developers from DATEV, Dell, GAIG, and TeraSky, provided their perspectives on analyst predictions and industry data that point to larger trends impacting cloud computing, application development, and technology decisions.

Trend #1: More organizations will take on a cloud-native first strategy, accelerating the shift to containers and Kubernetes as the backbone for current and new applications.

According to Forrester, forty percent of firms will take a cloud-native first strategy. Forrester’s Infrastructure Cloud Survey 2022 reveals that cloud decision-makers have implemented containerized applications that account for half of the total workloads in their organizations. Kubernetes will propel application modernization with DevOps automation, low-code capabilities, and site reliability engineering (SRE) and organizations should accelerate investment in this area as their distributed compute backbone.

“I agree on the cloud-native first strategy [prediction] since Kubernetes is the base for modern infrastructure. But you have to take into account that cloud native first does not mean public cloud first. Especially in regulated environments, public clouds or the big hyperscalers won’t always be an option,” says Juergen Sussner, cloud platform engineer and developer at DATEV. “If you look into the startup world, they start in public clouds, but as they grow to a certain scale, cloud costs will become a big problem and the need for more control might come up to bring things back into their own infrastructures or sovereign clouds. So cloud-native first, yes but maybe not public cloud first to the same degree.”

While Scott Rosenberg, practice leader of cloud technologies and automation at TeraSky, agrees with Forrester’s prediction, he notes that there is nuance in the details. “The growth of Kubernetes, and the benefits it brings to organizations, is not something that is going away. Kubernetes and containerized environments are here to stay, and their footprint will continue to grow. As Kubernetes is becoming more mature, and the ecosystem around it as well is stabilizing, I believe that the challenges we are experiencing around knowledge gaps, and technical difficulties are going to get smaller over the next few years. With that being said, due to the maturity of Kubernetes, I believe that over the next year, the industry will understand which types of workloads are fit for Kubernetes and which types of workloads, truly should not be run in a containerized environment. I believe VM-based and container-based workloads will live together and in harmony for many more years, however, I see the management layers of the 2 unifying in the near future, as is evident by the rise of ecosystem tooling like Crossplane, VMware Tanzu VM Operator, KubeVirt and more.”

Even if organizations decide to take a containerized approach to their applications,  Jim Kohl, application and developer consultant at GAIG, says “there still is heavy lifting in moving the company project portfolio over to the new system. Even then, companies will have a blend of VM-centered workloads alongside containerized workloads.”

Similarly, Thomas Rudrof, cloud platform engineer at DATEV eG, agrees that we won’t necessarily see the end of VM-based workloads. “Our organization, as well as the majority of the industry, is already adopting a cloud-native-first or a Kubernetes-native-first strategy and will increase their investment in technologies like Kubernetes and containers in the coming years. Especially for new apps or when modernizing existing apps. However, it is also important to note that there are still many apps that run on virtual machines and do not work natively in containers, especially in the case of third-party software. Therefore, I think there will still be a need for VM workloads in the coming years,” says Rudrof.       

“This year, companies will focus on cost optimization and better use of existing hardware resources. Using containerization will allow you to better control application environments along with their lifecycle. It will also allow for more effective and faster delivery of the application to the customer. IT departments should reorganize some IT processes that use a VM-based approach rather than containers,” says Lukasz Zasko, principal engineer at Dell.

Trend #2: Optimizing costs and operational efficiency will be a focus for organizations looking to improve their financial position amidst an economic downturn and skills shortages. IT leaders and executives must use AI and cloud platforms, and adopt platform engineering, to improve costs, operations, and software delivery.

Gartner’s Top Strategic Technology Trends for 2023 advises that this year is an opportunity for organizations to optimize IT systems and costs through a “digital immune system” that combines software engineering strategies like observability, AI/automation, and design and testing, to deliver resilient systems that mitigate operational and security risks. Additionally, with ongoing supply chain issues and skills shortages, organizations can scale productivity by using industry cloud platforms and platform engineering to empower agile teams with self-service capabilities to increase the pace of product delivery. Lastly, as organizations look to control cloud costs, Gartner states that investments in sustainable technology will have the potential to create greater operational resiliency and financial performance, while also improving environmental and social ecosystems.

“Eliminating cognitive load from your developers by using platform engineering techniques makes them more productive and therefore more efficient. There’s always a discussion about what can be centralized, and what should and should not be centralized as it can cause too much process overhead when not giving this specific control to your developer teams,” Sussner says. “The rise of AI in this case can’t be overlooked, like GitHub Copilot and many intelligent tools for managing security and many other aspects of supply chains.”

However, cost savings isn’t necessarily a new prediction or trend for organizations in 2023, according to Martin Zimmer – Technology Lead Modern Application Platforms at Bechtle GmbH. “I have heard this for 10 or more years. Also, AI will not help with [cost savings] because the initial costs are way too high at the moment.”

On the other hand, Rudrof says, “AI has the potential to significantly improve the efficiency, productivity, and effectiveness of IT professionals and organizations, and is likely to play an increasingly important role in the industry in the coming years.” He is also optimistic about platform engineering as a trend that will impact enterprise strategies. “I believe that platform teams are essential in helping DevOps teams focus on creating business value and in providing golden paths to enhance the overall developer experience,” says Rudrof.

Trend #3: Infrastructure and operations leaders will need to rethink their methods for growing skills to keep pace with the rapid changes in technology and ways of working.

Gartner predicts that through 2025, 80% of the operational tasks will require skills that less than half the workforce is trained in today. Gartner recommends that leaders implement a prioritized set of methods to change the skills portfolio of the infrastructure and operations organization by creating a skills roadmap that emphasizes connected learning, digital dexterity, collaboration, and problem-solving.

“The main problem in 2023 will be how can we learn new skills fast and stay on top of all the new tools and technologies in every area. If you implement a toolchain today, tomorrow it’s old,” Zimmer says. He adds that implementing a skills portfolio is nothing new. “Connected learning, digital dexterity, collaboration, and problem-solving should be the ‘normal’ skills of everyone who works inside the IT organization. The days where an IT ‘guru’ sits in his dark room and runs away when you try to talk with him are long gone.”

While developing digital and human skills will always be important for current and future workforces as hybrid work and digital transformation initiatives take hold, organizations must also look inward to evolve company culture. Sussner believes that being able to react and adapt to change is a skill in itself that an organization has to develop. “Not only do DevOps teams have to adapt to changing requirements, but also company structures. If you take Conway’s law seriously, this means being able to develop software in an agile way, would also raise the necessity to be able to change company structures accordingly.” Conway’s law states that organizations design systems that mirror their own communication structure.

“This huge step in company culture requires brave managers adopting agile principles. So in my opinion, it’s not only about technology transformation, it’s also about company culture that has to evolve. If neither technology nor culture does not take part in this game, all will fail,” Sussner adds.

At a time when budgets and margins are tightening, leaders should take this time to re-evaluate investments and prioritize the technologies and skills that build a resilient business. As business success increasingly relies on the organization’s ability to deliver software and services quickly and securely, building a company culture that prioritizes the developer experience and removes infrastructure complexity to drive productivity and efficiency will be critical for 2023 and beyond.

To learn more, visit us here.

Cloud Computing

We know that the Contact Center-as-a-Service (CCaaS) market is growing; an increasing number of companies are choosing this flexible model to support their CX operations, and this will continue through 2023. Vendors are also increasingly expanding the capabilities of their CCaaS solutions and evolving them at speed. What can we expect over the next 12 months? Here’s where Avaya sees the market heading…  

The Growth of Hybrid Cloud Among Large Enterprises

SMBs will continue to benefit from CCaaS this year with the ability to consume advanced capabilities that were previously out of reach. Enterprises, however, will use 2023 to gravitate towards a hybrid cloud approach as public cloud adoption grows and off-premises capabilities continually improve. Overall, it’s expected that 60% of enterprises will be using CCaaS by 2025. 

This transition is happening for several specific reasons:

Access to vendor-specific capabilities: The complexity of digital customer journeys, where no single vendor can adequately cover every necessary element, motivates vendors to partner and form multi-cloud systems. Large enterprises that leverage hybrid cloud benefit from innovative solutions composed of complementing capabilitieswithout having to abandon their on-prem investments. 

Innovation overlay: The pressure is on for enterprises to become more digital and agile using technologies like AI, automation, and API customization. A hybrid cloud environment allows them to leverage an innovation model that safeguards the stability of their existing operations. 

Reduced dependencies: A hybrid model allows enterprises to bring disparate IT environments together under a single management framework, minimizing dependencies between systems that run in different environments. 

Investment protection: Enterprises often contend with requirements of specific countries, industry verticals, or compliance and security policies and mandates. A hybrid cloud approach enables them to mitigate disruption as they migrate to the cloud in alignment with these requirements, ensuring service innovation and CX improvement irrespective of global economics and geopolitics. 

Cost optimization: Existing IT investments can’t be cost-effectively discarded in favor of new technology. A hybrid deployment model improves the economics of current investments by not disrupting users’ present environment. In fact, a recent study conducted by 451 Research across 10 countries found that, overall, the average savings possible for an enterprise with a hybrid cloud approach is 29-45%. 

On-premises and cloud both have demand for enterprises today. We expect 2023 to be a watershed year for enterprise CCaaS adoption, driven by hybrid deployment. 

Top CCaaS Capabilities of 2023 

A continued driver of CCaaS adoption will be innovation without disruption. Organizations are limited by proprietary, on-premises technology (hence why hybrid adoption will grow among traditional enterprises), meanwhile CCaaS capabilities continue to get better and better. These are the capabilities Avaya expects to be most popular this year:

1. AI and Machine Learning (ML)

AI and ML will continue to experience steady growth in the coming years. Large enterprises especially benefit from the ability to uncover operational efficiencies more quickly, reduce call volume (and thus, the burden on live agents), and help reps access information faster to accelerate resolution of issues. 

A quickly growing AI capability is AI noise removal, which eliminates unwanted background sounds for customers and agents during service conversations. AI-based voice and chatbots will also continue to grow in popularity. Any company that underestimates the value of AI in these areas will inevitably fall behind in 2023. 

2. Attribute-based Routing

It makes sense from both a cost and CX perspective to match customers with resources more intelligently based on business rules, internal and external context, and desired outcomes. Organizations can fine tune conversations, deepen customer relationships, and help agents succeed while improving First Contact Resolution (FCR) and reducing costly transfers.

3. Automated self-service

Give customers the freedom to choose their experience while reducing repetitive and routine calls for agents. Large enterprises once again stand to benefit most from the ability to automate processes and deliver faster response times across customers’ channels of choice. Web self-service portals, conversational IVRs, SMS, and live chat will all be in high demand for self-service this year.

The “freedom to choose” aspect of self-service is paramount and must be a top focus in 2023. Customers should never feel like they’re fighting an automated assistant to get what they want, nor should they be forced to use it. 

Greater Emphasis on Cost Containment

CCaaS helps contain contact center costs by improving contact duration and deflection, however, contact center projects in 2023 will need to show even more hard-cost savings in order to move forward. Avaya expects the following investments to be front and center as companies further tighten the reins: 

Identity and verification: Verifying and authenticating a customer in a contact center using common methods like Knowledge-based Authentication (KBA) takes anywhere from one to two and a half minutes. Research shows eliminating this time using Identity-centered Security can save as much as $3 a call, creating the potential for millions in annual savings while at the same time providing a better customer experience. 

Digital redirection: Redirecting calls to a digital or mobile self-service experience like SMS, messaging, chatbots, or a mobile app can save $3-5 per call, reducing interaction costs by up to 80% while giving callers the information they need more efficiently.    

CTI screen pops: The faster agents can access information, the faster they can resolve issues and move on to assist more customers. CTI screen pops can also help increase sales through targeted cross-selling and upselling by providing agents with the right information at just the right time. This will be a key investment in 2023.

Demand for Cloud Efficiencies and Security 

A big focus for 2023 will be minimizing the impact to the customer experience with increased data protection and privacy in the contact center. Can zero trust initiatives be successful without affecting customer perception? Absolutely. In fact, this is why Avaya is partnered with Journey, a digital identity verification and authentication platform provider that is blazing a trail in this field with award-winning innovation. 

Improving the speed, accuracy, and techniques used in contact center customer verification and authentication will be crucial this year for making necessary improvements to operational efficiency, security, customer experience, and costs. You can read this blog to learn more about how Identity-centered Security better protects customer data while increasing organizational efficiency. 

Want innovation without disruption? Register to attend Avaya Engage 2023 this June to learn what Avaya Experience Platform can do for your business.  

Hybrid Cloud

For many of today’s global enterprises, it’s a struggle to adapt quickly to emerging challenges.

With supply chain issues and the impending recession, digital transformation remains a pressing strategic imperative. However, key digital transformation milestones remain out of reach for far too many teams. To make real strides in each of these areas, Value Stream Management (VSM) has emerged as an urgent demand.

Earlier this year, Broadcom commissioned extensive industry research to learn how VSM adoption is evolving and which key trends are emerging in 2023. Conducted by Dimensional Research, this survey polled more than 500 IT and business leaders. Respondents came from five continents and represented a wide range of industries.

The findings from this survey are now available in a report entitled “2023 Value Stream Management Trends.” We’ll offer critical insights from this report in the following sections.

#1. Enterprise leaders are more focused on the customer than ever

When asked about their top strategic business focus for 2023, 58% of respondents cited “increasing customer value,” the highest-rated response. This objective was ranked third in a similar survey conducted the previous year.

The report’s authors state, “It now seems companies are shifting focus from rushing products to market that risk decreasing customer value with defects, bugs, or quality problems to a clear focus on maximizing customer delight with value and quality.”

#2. A disconnect between business and IT is impeding the attainment of key objectives

As they look at their challenges heading into 2023, senior leaders can be forgiven for having a sense of déjà vu. More than two-thirds (68%) of respondents say their businesses continued to be plagued by a long-standing issue: the disconnect between software development and business strategy. An even higher percentage of technology teams, 72%, are frustrated by business leaders’ constant changing of business priorities.

Since the advent of the pandemic, supply chains have presented challenges for businesses in a range of industries—and supply chains remain the highest-ranked challenge as teams enter 2023. Forty-nine percent of respondents said ensuring their company has reliable supply chains is a top challenge.  

#3. VSM adoption is widespread and growing

Today, the consensus around VSM is nearly unanimous: 92% agree that VSM can help optimize the product lifecycle. Further, 86% have adopted VSM or plan to. By the end of 2023, 60% of organizations will be shipping products using VSM.

The survey also revealed that digital transformation initiatives are tightly aligned with VSM. Ninety-five percent of organizations currently pursuing VSM initiatives are also pursuing digital transformation.

#4. VSM is delivering significant benefits for digital transformation

For teams that have implemented VSM, a vast majority of respondents, 95%, report that VSM has helped deliver key benefits. When asked what benefits VSM has already shown, six responses were selected by one-third or more survey participants. Topping the list were increased transparency (42%), improved organizational alignment (39%), faster delivery of solutions to customers (38%), and enhanced data-driven decision-making (37%)—which can all be integral to advancing digital transformation.

The research shows that those building VSM capabilities are seeing an improved ability to measure and track customer value, which, as outlined earlier, is the top strategic imperative for leaders.


This recent survey offers some compelling proof points of the power of VSM. As we head into 2023, the businesses that have established VSM practices are better positioned to achieve their digital transformation objectives and deliver more value to customers. To learn more, download the report “2023 Value Stream Management Trends.”


Explore ValueOps Value Stream Management, built to manage what you value most.

Digital Transformation

At Broadcom, we see challenges companies face first-hand, and in turn how technology trends impact the world’s largest companies. We’re sharing the top 5 predictions that you should be planning for in 2023.

Stay tuned for future blogs that dive into the technology behind these predictions from Broadcom’s industry-leading experts:

AI and automation will play an even more expanded role in technology

Whether in chips, software, or services, Broadcom believes artificial intelligence and automation go hand-in-hand in driving operational efficiencies, adaptive processes, higher performance and stronger security. Enabling AI becomes even more crucial across the entire IT stack.

AI-powered features are finding their way into every layer of technology that organizations use. According to one leading analyst firm, flexibility and adaptability are now the rules of the game — many businesses have learned this the hard way during the COVID pandemic. For many organizations, these changes demand “resilience-by-design” and “adaptive-by-definition.”

User experiences become critical in a hyper-connected, intelligent world

Broadcom believes people will have higher expectations for exceptional digital experiences across a wide range of devices and applications in 2023 and beyond. As our world becomes more inter-connected and based in artificial intelligence, user experience becomes even more critical to drive customer and employee satisfaction and retention. Employees expect consumer-friendly interfaces and continuous uptime even as they use business critical applications. Consumers have high expectations for digital experiences in online banking, email, cloud storage, video on demand (VoD), smart digital assistants, and virtual reality.

Trust management becomes critical for cybersecurity

Broadcom believes a move to distributed and decentralized trust will increase rapidly in 2023. This decentralization leads to new ways of transacting, communicating, and doing business — and not just for humans. Different applications have different access-granting or -restricting policies. The criteria on which a decision is based may differ greatly among different applications (or even between different instances of the same application).

What will be common among them will be the need to grant or restrict access to resources according to security criteria. A shift in managing trust will need to happen so that the security mechanism can handle those different criteria. With distributed trust, risk will need to be managed more closely across every aspect of business. And security around trust must be customized to the business. This will require artificial intelligence that enables security to rapidly adapt to each customer’s environment.

Multi-cloud will help deliver stronger business value

Broadcom believes large global organizations will continue the transition to customizing their cloud infrastructure to better fit their particular business in 2023. The cloud conversation is shifting from a technology discussion to a business- and even industry-model discussion. Vertical industries, such as banking, healthcare, and manufacturing, are shifting toward an agile platform supported by a portfolio of industry-specific business capabilities directly relevant for their specific industry. These industry clouds offer more adaptability, more business functionality, and more innovation.

Multi-cloud is the future of enterprise IT. A multi-cloud approach enables the flexibility to manage and protect data across different environments – private, public, or sovereign – at will. And when integrated with sovereign cloud, multi-cloud enables customers to deliver differentiated services at scale while remaining secure and in compliance with regulatory frameworks. Maintaining this choice, control, and agility is both crucial for growth and a daunting task for enterprises globally.

Wireless broadband will connect our digital future

Broadcom believes innovation in wireless broadband infrastructure will deliver more inventive applications in 2023. This next-generation wireless broadband, with its high speed and low latency capabilities, will power the internet at the edge to deliver immersive augmented reality and virtual reality, whole-home video distribution, gaming, and telemedicine to name just a few. Wi-Fi 6E and Wi-Fi 7, using the 6 GHz band, will complement the multi-gigabit “10G” broadband coming into residences and enterprises to enable new experiences that extend beyond traditional communications.   

Watch for our 2023 Predictions blog series featuring some of the most brilliant minds in the industry. And to stay up to date on all of the latest new and emerging technology from Broadcom, make sure to:

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Digital Transformation, IT Leadership

The new year brings familiar problems for cities around the world. Many countries are still facing a multitude of crises: climate change continues to accelerate, economies are under pressure, and consumers are coping with inflation and skyrocketing energy bills.

But a new year also brings a renewed sense of optimism and fresh focus. Innovators are constantly discovering new ways in which IoT technology can help address difficulties and solve a number of problems both immediately and in the long term.

Here are the top 5 IoT sustainability trends to look out for in 2023:

1. LEDification of public lighting

Switching traditional lighting to LED is not a new concept, but the immense energy-saving benefits continue to be either misunderstood or overlooked. Most people are now aware that LED lighting is more energy-efficient than conventional lighting – at least 50% more efficient, in fact – but the full potential of what can be achieved remains unrealized.

For a start, connecting LEDs and managing them via a software-based lighting management system increases energy savings up to 80%. Cities account for 78% of global energy consumption, with 40% of that being lighting related. If every city in the EU27 switched to energy-efficient connected LED, the member states would save enough energy to power 55 million electric cars every single year.

But energy savings are just one side of the coin. The scenario described above would generate cost savings of over €65 billion. Imagine how much good that money could do for families struggling to stay afloat.

These are lofty figures, and perhaps too big to fully comprehend. But even if you scale the scenarios down, the potential is too obvious to ignore. Switching all lighting to LED in a city of 200,000 inhabitants, for example, would prevent around 18,000 tons of CO2 from entering the atmosphere per year – roughly the amount of carbon sequestered in a year by 850,000 trees.

Switching to energy-efficient LED is truly the most immediate and significant impact you can make in the fight against climate change.

2. Increased funding opportunities for infrastructure projects

City budgets are tight. Whether it’s the strain of post-pandemic regeneration or the global impact of the war in Ukraine, many economies are at the breaking point. City decision-makers may have the ambition to develop and improve their infrastructure, but without funding it’s simply not viable.

Luckily, governments are starting to take action. Slowly but surely, funding programs are being established that promise to support infrastructure projects and help cities achieve the goal of becoming sustainable while at the same time improving the health and well-being of citizens.

Take the EU Green Deal, which pledges to make trillions of euros available for cities looking to enhance the energy efficiency of their public buildings, improve mobility, or create jobs for future generations. In the US, the 2022 Inflation Reduction Act (IRA) represents the single largest investment in climate and energy in American history, enabling America “to tackle the climate crisis and advance environmental justice.” The ASEAN Infrastructure Fund has been launched in Asia.

All of this means that as cities start to consider how they can modernise their infrastructure and explore IoT solutions to help in the fight against climate change, funding is one less barrier to overcome.

3. More accessible EV charging

The transportation industry has set itself the target of achieving carbon neutrality by 2050. It’s an ambitious goal, and one which appears even more daunting when you consider that 72% of all transport-related greenhouse gas emissions come from cars and trucks. There are billions of vehicles on the roads, so how do you radically reduce their emissions? By going electric.

EV adoption has picked up pace in recent years, but the scarcity of charging stations around cities and towns is a serious stumbling block. Consumers value convenience, and the uptake of EVs will stall if they make it more difficult to get from point A to point B than their gas-guzzling predecessors.

Where does IoT technology fit in? For a start, connected LED streetlights can be designed to serve as vertical digital assets for cities to deploy connected capabilities – from public broadband access points to EV charging points built directly into light poles. Electricity savings from both LED street lighting and smart buildings can help balance the increased electrical load, keeping costs low and avoiding the need for additional power generation.

4. Banning of conventional fluorescent lighting

The EU has passed legislation that prohibits the use of conventional fluorescent lighting. The ban has been a long time coming—not only are fluorescent bulbs outdated and inefficient, but they also contain harmful materials like phosphorus and mercury. With the ban comes into effect in early 2023, the shift to energy-efficient LED is set to accelerate even more than it has over the last two decades.

Sometimes doing the right thing is a matter of not having the choice to do the wrong thing. The paradox of choice theory states that rather than providing freedom, having too many options actually complicates the decision-making process and causes more stress in the long run. The EU’s banning of conventional fluorescent lighting has removed that choice from building owners and city decision makers, steering – or rather forcing – them to explore LED lighting as not just the better option, but the only option.

The anticipated surge in LED usage means increased opportunities for connected lighting and IoT solution providers, as thousands of businesses and cities look to retrofit their existing lighting.

5. The year of the smart city — finally?

It feels like we’ve been predicting the new era of smart cities for almost a decade, but is 2023 finally the time that IoT technology adoption in cities explodes?

Smart cities do not only focus on making life comfortable for people — they improve the social, environmental, and financial aspects of urban living. And as city populations grow, smart cities will become a key ingredient in improving sustainability and quality of life.

IoT and smart city technology is developing rapidly. But as with every high-growth market, regulation and certification often has had to play catch-up. Only relatively recently have industry-wide standards, best practices, and coordinated initiatives begun to mature. In tandem with a general increase in experience and expertise, it should now be easier to recognise what a smart city is – and, crucially, what it is not.

AIoT, the combination of AI technology with IoT infrastructure, is promising to accelerate things further. Right now, IoT infrastructure requires a level of human monitoring and management. Imagine how efficient our cities could run with AI pulling the strings. Smart city experts anticipate AIoT solutions to emerge for managing energy and other resource distribution, traffic and other public service management, waste management, and more —all in the near future.

Learn more about IoT systems for smart cities here.

Renewable Energy

Heading into 2020, there were plenty of predictions about the year ahead (not to mention detailed business plans, economic forecasts, scheduled events, and so on)—and all were rendered worthless by the pandemic.

Looking ahead to 2023, therefore, I do so with a healthy dose of humility, and an acknowledgement that there will be monumental events in the year ahead that I did not see coming. However, with all that said, I do think it’s clear that some current trends are under way that will continue in 2023.

At a high level, I’d characterize these trends as having humanist theme. Fundamentally, I view this as an increasing recognition that people are an organization’s most important asset. While companies are now highly digitized, it takes people to keep these digital services running and delivering value.

The pandemic did a lot to accelerate these digitization shifts, but I’d argue these trends will continue to accelerate. So with that, here are my predictions for strategic portfolio planning in 2023.

#1. The Pressure on Project Management Offices (PMOs) Will Intensify

The stakes for digital transformation continue to grow within today’s enterprises. The PMO’s ability to contribute to that transformation will be paramount, not just in the fortunes of the PMO, but in those of the business. The days of the PMO being an administrative finance function are numbered, if they’re not already past. In many ways, the transition can be viewed as the move to become a strategy realization office.

#2. Workforce Management Will Be a Top Priority

In 2023, it’s widely anticipated that we’ll be encountering a recession. Large-scale layoffs in high-profile technology companies have recently been announced. More than ever, there will be an intensified emphasis on cultivating the right mix of skills, roles, and workforces that will be optimally suited to realizing top strategic goals.

 #3. Investments Will Move from Projects to People

Gradually, teams in an increasing number of organizations are confronting the reality that they need to invest in outcomes and strategies rather than short-term initiatives and projects. Instead of paying for discrete deliveries, they’re investing in people and trusting that they’ll generate value, without knowing up front exactly what they’ll deliver. For a long time, there’s been a desire to gain more flexibility, and this is how we achieve that objective.

#4. Tools and Methodologies Will Converge

In years past, different methodologies and associated tools sprouted up within organizations, and operated in a relatively siloed fashion. In 2023, look for increased convergence in areas such as performance management, including methodologies like objectives and key results, strategic portfolio management, and project and portfolio management; and agile execution, such as Scrum and Kanban. Teams will take a choose-your-methodology approach, while being able to ensure all these different teams, tools, and methodologies are interacting with each other, which is key to maximizing value and insights.

#5. The Society 5.0 Concept May Move Closer to a Reality

Several years ago, then Prime Minister of Japan, Shinzo Abe, announced the concept of a super-smart society, which was dubbed Society 5.0. One of the key characteristics of this concept is the shift from technology-centric interactions to those that are more human centric. Increasingly, people will want and ultimately demand software solutions that are responsive to, and aligned with, who they are as individuals. We’ve started to see this transition in consumer software, and this trend will be moving to enterprise software as well.


While we can’t predict the future, it’s vital to understand trends and how they’ll continue to affect our businesses. As we head into 2023, it’s more vital than ever to have a clear perspective of the people we have on our team and the people we serve.


Explore ValueOps Value Stream Management, built to manage what you value most. 

Digital Transformation

Hiring tech talent in 2023 means navigating an uncertain economy, the effects of widespread tech industry layoffs, and candidates who want to work for a company with a mission and workplace culture that align with their values, including diversity, equity, and inclusion.

IT leaders say the best approach is to focus on adaptability. Firms that want to innovate and grow while headcounts are in flux are looking to upskill talent from within, promote their firm’s strengths to prospective candidates, and broaden their pool of potential hires from nontraditional backgrounds.

Here we look at five hiring trends for 2023, five that are falling out of favor, and how organizations are adjusting to new hiring realities this year.

Hot: Diversity, equity, and inclusion

Nijah Barley, director of IT at McKissack & McKissack, says the most promising trend he’s seeing comes from forward-thinking companies focused on diversity in hiring and retainment.

“Recruiters are opening the door for so much talent of different genders, education, nationalities, and beliefs,” Barley says. “Diversity in professional backgrounds should be a common requirement.”

Michelle Skoor, chief workforce officer at Bitwise Industries, agrees. “More and more companies are now walking the walk when it comes to inclusivity, not only during recruiting but in focusing on retention and working with employees on their career pathways,” she says.

Rajan Kumar, vice president and CIO at Intuit, says the software maker recognizes the need to remove bias from the interview process to assess candidates fairly.

“One of the ways we’ve done this is to give candidates the opportunity to strategize in a similar way they would on the job,” Kumar says, “and then present to a small team that assesses their ability to think creatively and strategically.”

Cold: In short, hiring

Lily Mok, vice president and analyst at Gartner, says demand, even for hard-to-fill IT roles, has softened as the year closes. Because of economic uncertainty, about 40% of CIOs slowed hiring as 2022 wound down, and about 30% experienced hiring freezes.

“Recent layoffs from digital companies will ease but not solve the talent challenge,” Mok says. “Based on Gartner data, the overall supply of tech workers has increased only by a few percentage points at most. In key function areas, like data science, software engineering, and security, talent supply remains as tight or tighter than before.”

Dan Zimmerman, chief product and information officer of TreviPay, says the demand for talent in 2022 was so fierce that it was driving up IT salaries faster than inflation. The good news, for hiring managers at least, he says, is that salaries should come out of the stratosphere a bit in 2023.

“Companies needed to move quickly, and you must hire fast to go fast, so many companies were required to overpay for talent,” Zimmerman says. “Given the number of layoff and hiring freezes across the industry in the last 60 days, we anticipate attrition will slow, make recruiting a bit easier, and temper the pace of salary inflation in the first half of 2023.”

Hot: Promoting internal candidates

External hires are increasingly likely to leave after just a couple of years in a new role, says CIO Fariha Rizwan of Z2C Limited. Smart hiring managers will look within, as she says tech workers promoted internally stick around longer.

“In the six months it takes to hire, onboard, and get a new employee up to speed, you can train someone into the role,” she says. “The business keeps a high performer who would have left without the opportunity to advance. Internal training programs and structured career paths tell people that we believe in them and will invest in them.”

Cold: Poaching high performers

Market uncertainties have made recruiting more difficult in surprising ways, says Dru Kirk, vice president of talent acquisition for Marqeta. A potential hire’s current employer is often the toughest competition for top talent, Kirk says. 

“We’re moving away from the era of the Great Resignation,” she says. “We’re unfortunately seeing a rise in hiring freezes, rescinded offers, and layoffs in the market, and, because of this, our talent acquisition team is actually seeing that it’s more challenging for employees to leave a company where they feel secure. Companies who are preparing for market insecurities are simultaneously working really hard to retain their top talent. This has shifted from 2021 and earlier in 2022 when we were competing with multiple market opportunities with new companies.”

Hot: Casting a wide net

Rizwan says innovative thinking around hiring new staff from outside technology fields is on the rise, especially if the prospective hires have experience turning a profit.

“Recruiters in the technology space have started to consider and hire IT staff who come from traditional industries,” Rizwan says. “This has proven to work well in order to get a fresh perspective on the problem and diversify the hiring pool. There is also a newfound trend in hiring product managers with a track record of turning innovation into revenue.”

JT Scott, vice president of global finance technology and innovation for Walmart Global Tech, says he’s seeing an increase in nontraditional paths to tech jobs “such as coding boot camps or company-sponsored upskilling. Investing in these nontraditional paths are broadening the talent pool and benefiting both candidates and employers.”

Cold: Specialization

Mike Bechtel, chief futurist at Deloitte Consulting, says the company’s recent research suggests the most in-demand ability is flexibility. 

“We’ve found that the shelf life of any given emerging technology is down to about 2.5 years,” Bechtel says. “Competing for the mythical 10x engineer finds the employer fruitlessly searching, or worse, finding and overpaying for an expensive deep specialist whose skills may no longer be in demand in a few years.”

Bechtel sees a trend of hiring “high aptitude, positive-attitude polymaths who can get very deep in an emerging tech for a few years and then change it up and get very deep in something altogether different for a few years after that.”

A related Deloitte tech trends report suggests AI, farther out, will phase out much of the lower-tier tasks associated with IT today. And again, the solution for organizations is a focus on the ability to adapt. 

“By building a skills-based organization, tapping into creative sources for finding talent, and providing a compelling talent experience, companies can meet their talent goals,” the report reads. “Organizations should plan to brush up on their humanities, as AI technology advances enough to carry out many of the lower-order tasks that IT teams are burdened with today.”

Thomas Vick, regional director for Robert Half’s technology practice group, says that, in particular, demand has dropped for quality assurance engineers and level 1 help desk work. 

“On the flip side, we have seen AI and digitalization create new jobs that didn’t exist before,” Vick says. “In short, the jobs that are more focused on automation — AI and digitalization — have become more in demand while those positions that are more siloed or manual have become less in demand.”

Hot: Creating candidate profiles

McKissack & McKissack’s Barley says hiring managers are looking to go beyond checking boxes for technical chops. Organizations are creating profiles of prospective employees that factor in much-needed soft skills

“The increased use of pre-employment testing and nontraditional interview questions can assess a candidate for success factors beyond their current job responsibilities,” Barley says. “Adaptability, problem-solving, and communication must be equally weighed during the interview process for a positive performance outcome of the role. With these details, an organization can create a profile to help refine the criteria for hiring in the role.”

Cold: In-person networking

Vick says location-based job finding opportunities for tech pros are falling away, a lasting effect of the COVID pandemic. 

“When it comes to finding tech talent, we have found that in-person networking events have become more rare,” he says. “Virtual meetups and peer group chat rooms have taken the place of in-person networking events. The ones that are in person are really with a purpose, for example, networking events tied to a certification, and the opportunity to network is not what it once was.”

Hot: Focus on cultural fit

Employers are and employees are both looking for a cultural fit, says Andrey Ivashin, CIO at Dyninno Group, with the idea that shared values also lead to better business outcomes. 

“Great salary and dynamic work opportunities are not enough anymore,” Ivashin says. “There is an increased interest in having strong values, social responsibility, and inclusive work culture, among other benefits.”

Ivashin says employee branding is critical. Candidates want to work for companies that they can trust and that make their values clear to employees and the public. And, he says, job candidates are increasingly active in researching potential employers to find a suitable role. 

“Job seekers now vet their hiring managers to make sure they find a good cultural fit with their prospective employer. It’s become a part of how candidates make their decisions,” he says. “By collecting references about the potential direct manager, the person can make a more thought-through decision and decide whether to join the company or not.”

Cold: Finding talent in hard-to-find areas

Gartner’s Mok says that demand across IT roles declined in December, but currently the hardest jobs to fill include AI and machine learning engineers, cloud architects, cybersecurity or security analyst/engineers, solution architects, IT systems engineers, and full-stack developers.

Even among hiring slow-downs and freezes, CIOs need to fill certain roles to meet 2023 objectives, Mok says, like cybersecurity, cloud platforms, analytics/business intelligence/data science, and project management. Many IT leaders are beginning to rethink how they hire for these difficult-to-fill roles

“Recent layoffs from digital companies will ease but not solve the talent challenge,” she says. “Based on Gartner data, the overall supply of tech workers has increased only by a few percentage points at most. In key function areas, like data science, software engineering, security function, talent supply remains as tight or tighter than before.”

Alisia Genzler, group president and chief client Officer of Randstad Technologies, says the company has seen a shift in demand for what were formerly nuanced roles that are now mainstream, “such as data scientists, which have seen more than a 3,000% increase in job postings since 2012, and data engineers, which have seen job postings increase by 2,000% over the same period.”

Careers, IT Skills, Staff Management

No matter how reliable their sources, IT analysts’ technology adoption forecasts are fundamentally interpretive – opinions based on received data. This is particularly true when predicting deployment trends in tomorrow’s cloud market.

Predictive viewpoints from cloud service providers, meanwhile, are informed by direct interactions with client IT teams experienced in projecting their organizations’ technology needs.

“Predicting cloud requirements is now a core competency for IT strategists,” says Oscar Garcia, Global SVP of Strategy and Technology at NTT. Garcia’s role makes him well placed to cast perspective on cloud trends for 2023 – notably, upshifts in the areas of cloud verticalization, hyperscale edge computing, SaaS management and cloud sustainability.

First of these, the rise of cloud platforms pre-engineered for an industry or sector, reflects the continued adoption of multicloud in high-value organizations.

“When organizations want ‘horizontal’ clouds tailored for a business industry, reengineering is needed to prep the cloud for that industry’s requirements, such as foundational services and compliances,” Garcia explains. “This results in duplicated effort.”

Increasingly, organizations want clouds preconfigured for necessary compliances, says Garcia: “Clouds that come with sector-specific features don’t have to be set up from scratch each time, thus streamlining cloud onboarding. They save time and money, and have inbuilt continuity with a given industry’s standards.”

Hyperscale edge computing gains traction

Cloud trends are rarely attributable to one driving force. Take demand for managed hyperscale edge computing services, which Garcia tips for estimable growth.

“Across sectors, enterprises increasingly look to distribute their workloads,” Garcia reports. “This is resulting in a need for distributed compute and storage that bring instantaneous response times at the edge.”

Associated benefits include the reduction of data processed in centralized clouds. This avoids network latency and other operational overheads. It also improves data security by limiting its exposure across networks.

Edge as a Service options make it possible to implement networks, operations and edge computing that deliver real-time automation and processing,” adds Garcia. “Unified operating models simplify operations and allow IT chiefs to focus on business imperatives.”

SaaS management services demand

The number of businesses that have outsourced the management of their applications is on an upward trend that will steepen through 2023.

“The need for SaaS management is the result of enterprises moving workloads to SaaS applications and the emergence of new complexities associated with this delivery model,” Garcia says. “SaaS solutions are precisely charged for. When cost leakage due to ineffectively managed SaaS solutions is revealed, it can come as a shock.”

Another reason why more organizations are outsourcing their top-level application monitoring and management is to free-up their IT expertise to focus on tech-enabled business initiatives, Garcia adds.

Measurable cloud sustainability

A desire for improved cloud sustainability will form another 2023 trend.

“While moving to cloud might not automatically make an organization’s IT greener, cloud can create conditions that make transformation possible,” says Garcia. “This means transforming IT to be more environmentally high-performing, but also transforming business through IT, using IT to drive positive change in the organization.”

NTT works toward delivering a “sustainability budget” that quantifies sustainability in the form of values rather than direct costs.

“When we propose operational right-sizing for altering CPU usage scale-out, or projected requirements for storage, or other compute parameters, we scale the budgetary expenditure of a potential change to a sustainability impact,” Garcia explains.

IT decision-makers may not always recognize sustainability metrics presented as quantitative methodology benchmarks, but they will respond to financial indicators, adds Garcia: “They can say, ‘well, this isn’t the least costly option, but it delivers the best sustainability outcome’. They can then apply a ROI value. So, if it’s 10 percent more expensive, say, that 10 percent will be an investment in improving their organization’s sustainability posture.”

How Multicloud as a Service can help

Even the best-run cloud environments can prove complex, and multiple clouds bring multiple complexities. A Business Impact Brief from 451 Research found this complexity is driving organizations to service providers to implement effective multicloud management.

No service provider is better qualified to meet this requirement than NTT. Their multicloud solutions address those complexities from infrastructure to edge. It’s still cloud as you know it, but simplified, more connected, and delivered as a managed service.

Discover how Multicloud as a Service from NTT can enable you to get more from your strategic cloud investments.

Multi Cloud

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices.

As with just about everything in IT, a data strategy must evolve over time to keep pace with evolving technologies, customers, markets, business needs and practices, regulations, and a virtually endless number of other priorities.

Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

1. Real-time data gets real — as does the complexity of dealing with it

CIOs should prioritize their investment strategy to cope with the growing volume of complex, real-time data that’s pouring into the enterprise, advises Lan Guan, global data and AI lead at business consulting firm Accenture.

Guan believes that having the ability to harness data is non-negotiable in today’s business environment. “Unique insights derived from an organization’s data constitute a competitive advantage that’s inherent to their business and not easily copied by competitors,” she observes. “Failing to meet these needs means getting left behind and missing out on the many opportunities made possible by advances in data analytics.”

The next step in every organization’s data strategy, Guan says, should be investing in and leveraging artificial intelligence and machine learning to unlock more value out of their data. “Initiatives such as automated predictive maintenance on machinery or workforce optimization through operational data are only a few of the many opportunities enabled by the pairing of a successful data strategy with the impactful deployment of artificial intelligence.”

2. In-house data access demands take center stage

CIOs and data leaders are facing a growing demand for internal data access. “Data is no longer just used by analysts and data scientists,” says Dinesh Nirmal, general manager of AI and automation at IBM Data. “Everyone in their organization — from sales to marketing to HR to operations — needs access to data to make better decisions.”

The downside is that providing easy access to timely, relevant data has become increasingly challenging. “Despite massive investments, the data landscape within enterprises is still overly complex, spread across multiple clouds, applications, locations, environments, and vendors,” Nirmal says.

As a result, a growing number of IT leaders are looking for data strategies that will allow them to manage the massive amounts of disparate data located in silos without introducing new risk and compliance challenges. “While the need for data access internally is rising, [CIOs] also have to keep pace with rapidly evolving regulatory and compliance measures, like the EU Artificial Intelligence Act and the newly released White House Blueprint for an AI Bill of Rights,” Nirmal says.

3. External data sharing gets strategic

Data sharing between business partners is becoming far easier and much more cooperative, observes Mike Bechtel, chief futurist at business advisory firm Deloitte Consulting. “With the meaningful adoption of cloud-native data warehouses and adjacent data insights platforms, we’re starting to see interesting use cases where enterprises are able to braid their data with counterparties’ data to create altogether new, salable, digital assets,” he says.

Bechtel envisions an upcoming sea change in external data sharing. “For years, boardroom and server room folks alike have talked abstractly about the value of having all this data, but the geeks among us have known that the ability to monetize that data required it to be more liquid,” he says. “Organizations may have petabytes of interesting data, but if it’s calcified in an aging on-premises warehouse, you’re not going to be able to do much with it.”

4. Data fabric and data mesh adoption rises

Data fabric and data mesh technologies can help organizations squeeze the maximum value out of all the elements in a technical stack and hierarchy in a practical and usable manner. “Many enterprises still utilize legacy solutions, old and new technologies, inherited policies, processes, procedures, or approaches, but wrestle with having to blend it all within a new architecture that enables more agility and speed,” says Paola Saibene, principal consultant at IT advisory firm Resultant.

Mesh enables an organization to draw the information and insights it needs from the environment in its current state without having to radically change it or massively disrupt it. “This way, CIOs can take advantage of [tools] they already have, but add a layer on top that allows them to make use of all those assets in a modern and fast way,” Saibene explains.

Data fabric is an architecture that enables the end-to-end integration of various data pipelines and cloud environments through the use of intelligent and automated systems. The fabric, especially at the active metadata level, is important, Saibene notes. “Interoperability agents will make it look like everything is incredibly well-connected and has been intentionally architected that way,” she says. “As such, you’re able to gain all the insights you need while avoiding having to overhaul your environment.”

5. Data observability becomes business-critical

Data observability extends the concept of data quality by closely monitoring data as it flows in and out of the applications. The approach provides business-critical insights into application information, schema, metrics, and lineage, says Andy Petrella, founder of data observability provider, Kensu, and the author of Fundamentals of Data Observability (O’Reilly, 2022).

A key data observability attribute is that it acts on metadata, providing a safe way to monitor data directly within applications. As sensitive data leaves the data pipeline; it’s collected by a data observability agent, Petrella says. “Thanks to this information, data teams can troubleshoot data issues faster and prevent them from propagating, lowering maintenance costs, restoring trust in data, and scaling up value creation from data,” he adds.

Data observability creates an entirely new solution category, Petrella claims. “CIOs should first understand the different approaches to observing data and how it differs from quality management,” he notes. They should then identify the stakeholders in their data team, since they will be responsible for adopting observability technology.

An inability to improve data quality will likely hinder data team productivity while decreasing data trust across the entire data chain. “In the long term, this could push data activities into the background, impacting the organization’s competitiveness and ultimately its revenue,” Petrella states.

IT leaders are contending with soaring complexity and unfathomable volumes of data spread across the technology stack, observes Gregg Ostrowski, executive CTO of Cisco AppDynamics. “They’re having to integrate a massively expanding set of cloud-native services with existing on-premise technologies,” he notes. “From a data strategy perspective, the biggest trend is the need for IT teams to get clear visualization and insight in their applications irrespective of domain, whether on-premises, in the cloud or hybrid environments.”

6. ‘Data as a product’ begins delivering business value

Data as a product is a concept that aims to solve real-world business problems through the use of blended data captured from many different sources. “This capture-and-analyze approach provides a new level of intelligence for companies that can result in a real, bottom-line impact,” says Irvin Bishop, Jr., CIO at Black & Veatch, a global engineering, procurement, consulting, and construction company.

Understanding how to harvest and apply data can be a game-changer in many ways, Bishop states. He reports that Black & Veatch is working with clients to develop data product roadmaps and establish relevant KPIs. “One example is how we utilize data within the water industry to better manage the physical health of critical infrastructure,” he notes. “Data gives our water clients the ability to predict when a piece of equipment will likely need to be replaced and what type of environmental impact it can withstand based on past performance data.” Bishop says that the approach gives participating clients more control over service reliability and their budgets.

7. Cross-functional data product teams arise

As organizations begin treating data as a product, it’s becoming necessary to establish product teams that are connected across IT, business, and data science sectors, says Traci Gusher, data and analytics leader at business advisory firm EY Americas.

Data collection and management shouldn’t be classified as just another project, Gusher notes. “Data needs to be viewed as a fully functional business area, no different than HR or finance,” she claims. “The move to a data product approach means your data will be treated just like a physical product would be — developed, marketed, quality controlled, enhanced, and with a clear tracked value.”

Analytics, Data Management