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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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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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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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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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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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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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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Demand for AI Platforms Software is Forecast to Drive Remarkable Growth over the Next Five Years — IDC

The global market for AI platform software grew rapidly in 2023 and is expected to reach $153.0 billion in 2028, with a 40.6% compound annual growth rate. Innovations in generative AI are reshaping how companies develop and deploy AI applications. In 2023, Microsoft led the market with its comprehensive AI solutions deeply integrated into its software and cloud services.

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GenAI Investment to Grow 30%, with High Maturity Companies Projecting Three Times Higher ROI Over the Next Three Years than Low-Adoption Peers — BCG

With modest GDP growth and stagnant budgets, organizations are reallocating funds to support IT investments. GenAI is gaining importance for productivity improvements, with a 30% expected investment growth. Companies with high GenAI maturity anticipate 3x higher return on investment over the next three years compared to those with little or no adoption, according to a new report by BCG.

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SMB Demand for Sales and Marketing Process Automation Growing at Double Digit CAGR

Small and medium-sized businesses (SMBs) are projected to significantly increase their spending on sales process automation (SPA) as we reach the decade's midpoint. According to projections from Analysys Mason, SMBs worldwide will continue investing heavily in IT solutions, emphasizing automation technologies that focus on customer interactions to enhance efficiency, reduce operational costs, and remain competitive in the market. Meanwhile, International Data Corporation (IDC) reports that worldwide revenue for SMB sales and marketing campaign management software is expected to grow from $8.5 billion in 2021 to $14.9 billion in 2026. These findings highlight the increasing recognition among SMBs of how automation tools drive productivity across business functions in general and their sales operations in particular.

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