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We are already seeing signs of the impact Generative AI will have on business; all signs point to that impact being far larger than any previous technology transition.
IBM’s watsonx Code Assistant for Z addresses the challenge of modernizing COBOL-based systems and bridges the expertise gap in legacy computing while facilitating the transition to modern frameworks and cloud integration.
Companies are recognizing the limitations of centralized AI and are leveraging advances in networking, algorithms, and edge computing to run AI workloads closer to where they’re most needed.
In today’s business landscape, the synergy between partners and sustainability drives transformative strategies across industries.
Microsoft’s strong fiscal Q4 performance can be attributed to its generative AI portfolio and the defection of some AWS customers to Azure.
Microsoft furthers its Copilot integrations, as AI-assisted development continues to gain momentum from LLMs and generative AI.
Apromore co-founder Marlon Dumas talks customer use cases, AI integration, and cloud-based scaling as part of the Process Mining Battleground.
Traditional go-to-market strategies are no longer working in today’s digital-first world, creating a disconnect between buyers and sellers. Learn why in part 1 of this free course from Acceleration Economy.
Databricks hosted Microsoft CEO Satya Nadella at its customer event, and the two companies explained how they’re working on trustworthy AI and serving joint customers.
With the release of its first large language model, Stability AI serves as an open-source alternative to OpenAI’s ChatGPT.
Security, cost, and sustainability are some of the reasons artificial intelligence workloads are moving toward hybrid environments.
The increasing adoption of cloud services, particularly software-as-a-service (SaaS), has reshaped the role of the chief information security officer (CISO).
Applications of generative AI within the entertainment industry can have a huge influence on how people consume media.
Companies must consider various applications of generative AI to extend their value propositions for customers.
Microsoft CEO Satya Nadella recently referred to ChatGPT as a “steam engine.” Bob Evans suggests the tool is just the beginning of the generative AI revolution.
With Microsoft Fabric, the company is unifying the corporate data estate while managing powerful AI models and governing data across the organization.
By partnering with Blue Yonder, Snowflake is moving into the supply chain applications business, CEO Frank Slootman says.
SingleStore’s SQL database unifies diverse data sources at scale while catering to the needs of developers, architects, and analytics pros.
Bill Doerrfeld explains how AI is improving endpoint threat detection and accelerating response times.