Bridging Legacy Systems with Modern Innovation to Accelerate Transformation -- Tiago Azevedo, CIO of OutSystems

Despite prevailing conventional wisdom in the enterprise technology community, businesses can drive innovation without being overwhelmed by the complexities of legacy system modernization, according to Tiago Azevedo, CIO of OutSystems, a leader in low-code and no-code (LCNC) technology. These LCNC platforms –  when combined with generative AI (GenAI) – can allow organizations to innovate rapidly and deliver immediate business value without the need for extensive legacy overhauls.

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Editor's PickStaff Reports
Predictive Analytics, AI Code Assistants Among Technologies Needed for CIOs to Bridge Innovation Gap -- Gartner

There are six technologies that will have transformational benefits within five years for digital government services, according to Gartner, Inc. These include digital employee experience (DEX), AI code assistants, generative AI (GenAI), generative design AI, predictive analytics in government and workstyle analytics.

“Delivering services digitally continues to be a priority in government transformation plans,” said Daniel Snyder, Sr Director Analyst, KI Leader at Gartner. “These technologies will help government CIOs bridge the gap between digital innovation goals and executing against strategy objectives. Collectively, they will be a crucial element for executives in aligning technology innovation to mission outcomes to keep pace with growing citizen expectations.”

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Staff Reports
Generative AI Instantly Elevates the Aptitude of Knowledge Workers -- BCG

Generative AI (GenAI) is creating a new type of knowledge worker who can code faster and summarize documents instantly. But can the tool also enable people to meet the shifting demands of their roles? A new scientific experiment conducted by the BCG Henderson Institute in collaboration with BCG X and Emma Wiles from Boston University, as described in GenAI Doesn’t Just Increase Productivity. It Expands Capabilities., examines what happens when, instead of using GenAI to improve performance within their current skillset, people use the technology to complete tasks beyond their existing capabilities.

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Staff Reports
Enterprises Turning to Cloud for Unified AI, Data Platforms -- ISG

The ISG Buyers Guide™ for Cloud-Native AI and Data Platforms, produced by ISG Software Research, projects that through 2026, more than one-third of enterprises will deploy cloud-native AI and data platforms in their information architectures. Most leading cloud providers offer both AI and data capabilities, while independent software providers offer AI and data platforms built to operate natively in and across cloud environments, the report says.

The report points out that AI requires large amounts of high-quality data that needs to be prepared, engineered and organized to feed and train AI models. The volumes of data necessary for accurate AI models place a significant demand on computing resources, which can often be best met with elastic cloud platforms. The cost of these systems can be significant, and any inefficiencies in the process can exacerbate the costs, the report says.

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Staff Reports
More Than 50% of Organizations Have an AI Leader, but 88% Indicate Their AI Leader Does Not Have the Title of Chief AI Officer — Gartner

A recent Gartner, Inc. poll of more than 1,800 executive leaders, revealed that 55% of organizations have an AI board. The poll also indicated 54% of organizations have a head of AI or an AI leader that orchestrates activities.

“The findings show that organizations are divided regarding if an AI board is necessary,” said Frances Karamouzis, Distinguished VP Analyst Gartner. “The answer is yes, enterprises need an AI board to transcend the multidisciplinary challenges to drive value and reduce risk. However, the duration, scope, and resourcing is context-specific and use-case dependent. For some, it’s a short-term, stopgap measure. For others, it’s a longer-term change to their operating model.

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Staff Reports
Gartner Survey Finds Only 14% of Customer Service Issues Are Fully Resolved in Self-Service

Only 14% of customer service and support issues are fully resolved in self-service, according to a survey by Gartner, Inc. Even for issues that customers describe as “very simple”, only 36% resolve fully in self-service.

While many organizations have made considerable investments in self-service capabilities, a Gartner survey of 5,728 customers conducted in December 2023 revealed that resolution rates remain low.

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Staff Reports
80 Million RedCap IoT Module Shipments Forecast by 2029, of Which 71% Will be eRedCap — ABI Research

The 5G RedCap, finalized in Release 17, provides a migration pathway from 4G LTE to 5G for mid-range devices, particularly suitable for IoT. ABI Research forecasts 80 million IoT RedCap module shipments from 2024 to 2029. RedCap simplifies device complexity, providing an affordable pathway to 5G for IoT device OEMs. It delivers LTE-equivalent throughput performance and draws significant interest across the IoT value chain.

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Staff Reports
Worldwide Spending on Edge Computing Forecast to Reach $378 Billion in 2028, Driven by Demand on Real-time Analytics, Automation, and Enhanced Customer Experiences — IDC

Edge computing plays a crucial role in reducing latency and enhancing privacy as the focus of AI shifts from training to inference. This facilitates faster decision-making with reduced network congestion. Global spending on edge computing is projected to reach $228 billion in 2024 and $378 billion by 2028

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Staff Reports
Global Information Security Spending Forecasted to Grow 15% in 2025 — Gartner

Global end-user spending on information security is projected to reach $212 billion in 2025, a 15.1% increase from 2024. This surge is attributed to the heightened threat environment, cloud migration, and talent shortages, prompting organizations to prioritize security and increase spending. Adopting AI and GenAI drives investments in security software markets, with a projected 15% increase in cybersecurity resources required to secure it through 2025.

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Staff Reports
The Resurgence of On-Prem Computing in the Age of AI: Insights from CIOs Across the Nation

Artificial intelligence (AI) and its integration into enterprise systems are driving a resurgence of on-prem computing. In a recent CIO.com virtual roundtable co-hosted by IBM's Wayne Derry, senior enterprise technology executives from across the country explored the challenges and opportunities presented by this shift, particularly for organizations that previously embraced a "scorched earth" approach by eliminating their data centers.

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Business Leaders Should De-emphasize Deterministic Decision-making in the Era of AI -- Mark Stouse, ProofAnalytics.ai

One of the biggest problems facing business leaders in the era of AI may well be their tendency to have a deterministic perspective. Deterministic thinking among company executives can be considered a holdover from decision-making styles that became prevalent during the industrial era when the emphasis was on efficiency, standardization, and predictability, which were critical in managing large-scale, repetitive processes. Indeed, businesses were often thought of -- and described -- as machines that built the products and services they brought to market.

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Worldwide Spending on Artificial Intelligence Forecast to Reach $632 Billion in 2028 — IDC

Worldwide spending on AI, including AI-enabled applications, infrastructure, and related services, is expected to double by 2028, reaching $632 billion, with a 29.0% compound annual growth rate. Organizations are leveraging AI for employee experience, customer engagement, business process, and industry innovations. GenAI investments are rapidly growing and expected to reach $202 billion, representing 32% of overall AI spending.

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Staff Reports
Industrial Enterprises Will Generate 4.4 Zettabytes of Data by 2030 – But Only a Shocking 5% Is Properly Utilized Due to Fragmented Data Siloes — ABI Research

By 2030, the global manufacturing industry is expected to generate 4.4 zettabytes of data, more than double of this year's collection. This data originates from various sources such as IoT sensors, CNC systems, ERP systems, and MES. Efforts to effectively use and integrate this data are crucial for sustaining competitiveness and driving innovation.

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Staff Reports