Apromore co-founder Marlon Dumas details where GenAI fits in customers’ plans, the need for predictive functionality, and why time to value is so important today.
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As innovative startups develop more use cases for GenAI, the banking industry has been exploring the AI ecosystem, especially for customer-facing workflows.
An exploration of actionable measures aimed at finding and elevating supply chain talent with novel approaches to sourcing, nurturing, and empowering professionals.
The addition of generative capabilities to AI set the stage for a transformative shift to autonomous agents in manufacturing, posing ethical considerations and requiring thoughtful strategic planning.
AI Ecosystem Report Ep 30: ServiceNow and Nvidia expand their existing partnership to integrate GenAI offerings; Bria secures funding for its infringement-free image generation platform; and Salesforce releases Einstein Copilot.
Startup Bria secures funds to build ethical, infringement-free generative AI tools for image creation while maintaining ethical standards and paying image owners.
Non-technical business leaders must consider ROI, customer satisfaction, and gaining a competitive edge when it comes to integrating AI.
Analyzing the role of AI in manufacturing, this CIO guide explores efficiency gains, quality control improvements, and predictive maintenance benefits, while addressing cybersecurity, data privacy, and technology dependency risks.
The onset of the AI era has revealed critical skills for business environments as well as new AI-influenced roles that represent opportunities for innovation and growth.
IBM research gives CEOs advice on how to ensure people and skills adapt to GenAI, top use cases to consider, and where they can get the most bang for the buck.
Discover the dos and don’ts of applying generative AI to content marketing to capitalize on the power while avoiding potential pitfalls.
Bonnie Tinder addresses software implementation in 2023, the impact of generative AI, and project satisfaction influences.
Learn about our top five revenue technology products to watch this year, including offerings from Salesforce, 6Sense, Qualified, Champify, and Syncari.
Enterprise customers aren’t looking to AI to improve a process; instead, they’re looking to completely reimagine the way they do things, Automation Anywhere exec says.
Our top products to watch this year range from applications with comprehensive supply chain functionality to transportation-focused specialty apps.
With its acquisition of StreamSets and webMethods, IBM enhances development speed, integration functionality for AI applications.
Insights into leveraging accessible generative AI tools and the impending impact of enhanced audio assistants, media processing, and wearable technology on business innovation.
Customer demand for AI is so high that budget considerations are not a gating factor, according to Snowflake CEO Frank Slootman.
SAP’s Christian Klein and Microsoft’s Satya Nadella are hashing out an expanded data agremeent with wide-ranging implications for customers’ generative AI initiatives.
Actionable data is necessary to drive marketing and sales success. Steps including validation, enrichment, and standardization are needed to ensure data is actionable.