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Generative AI use cases for the enterprise

IBM Big Data Hub

Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.”

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3 myths hindering your business from adopting generative AIĀ 

IBM Big Data Hub

Generative AI holds enormous potential for driving business growth. It offers ease of integration and scalability for analytics and AI workloads using your company’s data, and offers guardrails for ensuring governance, security and compliance. The companies innovating with generative AI aren’t just industry giants.

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Data is essential: Building an effective generative AI marketing strategy

IBM Big Data Hub

Generative AI is powering a new world of creative, customized communications, allowing marketing teams to deliver greater personalization at scale and meet today’s high customer expectations. Enterprise marketing teams stand to benefit greatly from generative AI, yet introduction of this capability will require new skills and processes.

Marketing 121
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The convergence of HPC and AI: Driving innovation at speedĀ Ā 

IBM Big Data Hub

Enterprises are increasingly turning to generative artificial intelligence (gen AI) to drive operational efficiencies, accelerate business decisions and foster growth. We believe that the convergence of both HPC and artificial intelligence (AI) is key for enterprises to remain competitive.

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Retailers can tap into generative AI to enhance support for customers and employees

IBM Big Data Hub

As the retail industry witnesses a shift towards a more digital, on-demand consumer base, AI is becoming the secret weapon for retailers to better understand and cater to this evolving consumer behavior. Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content.

Retail 95
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Conversational AI use cases for enterprises

IBM Big Data Hub

Conversational artificial intelligence (AI) leads the charge in breaking down barriers between businesses and their audiences. This class of AI-based tools, including chatbots and virtual assistants, enables seamless, human-like and personalized exchanges.

Analytics 104
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Three customer success trends in a post-pandemic world

OpenText Information Management

As B2B SaaS companies gained popularity in the early 2000s, vendors faced a challenge: neglecting customer training and retention led to frustrated users grappling with complex software, resulting in higher churn rates and reduced profitability. Looking ahead, AI has exciting potential. What is customer success? Forbes , 2022.

Sales 62