Ahmed Rashad, Sr. AI Specialist, Middle East & Africa at Nutanix, highlights why generic AI models fall short. By 2027, sector‑specific AI will dominate, driving accuracy, efficiency, and competitive advantage across healthcare, finance, manufacturing,Read More…
Gartner identified critical blind spots stemming from overlooked risks and unintended consequences of generative AI (GenAI) adoption. Chief information officers (CIOs) must proactively address these hidden challenges to ensure GenAI value realization and avoid AI project failures.Read More…
The AI vendor race is restructuring the business of tech, and every tech provider must reevaluate what it takes to compete and win in this evolving landscape, according to Gartner, Inc., a business and technology insights company.Read More…
Research by NTT DATA reveals that healthcare organizations are struggling to create cohesion between their GenAI ambitions and strategies. More than 80% of healthcare organization leaders surveyed said they have a well-defined GenAl strategy, but only 40% agreed their GenAl strategy strongly aligns with their business strategy. Only 54% classifiedRead More…
Worldwide end-user spending on generative AI (GenAI) models is projected to total $14.2 billion in 2025, according to Gartner, Inc. End-user spending on specialized GenAI models, which include domain-specific language models (DSLMs), is estimated to total $1.1 billion in 2025 (see Table 1). Specialized GenAI models are trained or fine-tuned on industryRead More…
Nutanix has announced the findings of its seventh annual global Healthcare Enterprise Cloud Index (ECI) survey and research report, which measures enterprise progress with cloud adoption in the industry. The research showed that 99% of healthcare organizations surveyed are currently leveraging GenAI applications or workloads today, more than any other industry. ThisRead More…
Eighty percent of enterprise software and applications will be multimodal by 2030, up from less than 10% in 2024, according to Gartner. “The shift to multimodal enterprise software is a fundamental transformation in business operations and innovation,” said Roberta Cozza, Sr. Director Analyst at Gartner. “Multimodal generative AI (GenAI) will revolutionizeRead More…
Gartner has announced the top strategic trends in software engineering for 2025 and beyond. These trends enable organizations to accelerate innovation through AI-driven automation and adopt efficient, future-ready engineering practices. “AI-enabled tools and technologies are fundamentally changing how software is built and delivered,” said Joachim Herschmann, VP Analyst at Gartner. “Gartner’s topRead More…
Seventy-five percent of new analytics content will be contextualized for intelligent applications through generative AI (GenAI) by 2027, enabling composable connection between insights and actions, according to Gartner, Inc.During the Gartner Data & Analytics Summit in Sydney this week, Georgia O’Callaghan, Director, Analyst at Gartner, said, “We’re moving from an era where analytic tools helpRead More…
Gartner predicts that organizations will develop 80% of Generative AI (GenAI) business applications on their existing data management platforms by 2028. This approach will reduce the complexity and time required to deliver these applications by 50%. During the Gartner Data & Analytics Summit taking place in Mumbai this week, Prasad Pore, Sr Director AnalystRead More…
To help organizations responsibly unlock the full value of GenAI, data and AI, SAS has created a benchmarking tool to assist leaders in understanding how to navigate GenAI adoption securely and successfully.Read More…
Worldwide generative AI (GenAI) spending is expected to total $644 billion in 2025, an increase of 76.4% from 2024, according to a forecast by Gartner, Inc. “Expectations for GenAI’s capabilities are declining due to high failure rates in initial proof-of-concept (POC) work and dissatisfaction with current GenAI results,” said John-David Lovelock, Distinguished VPRead More…
