GenAI in Enterprise Workflows: The Weekly #19
Enterprise-grade AI solutions benefit from having standardised workflows, prompt templates, and guardrails.
Jeff Easley, General Manager, Responsible AI Institute
This week, I took Salesforce's Agentforce Champion trail, and in large parts, the product wasn't entirely different to what Dataiku have built. There are a few key pieces that stood out for me that make them both excellent solutions for enterprise business:
Standardised Workflows: The ability to set up a repeatable workflow that locks in certain configurations, is key to rolling out this technology across your workforce. Having a balance of what users can choose themselves versus what is best for the business is crucial in giving IT and Senior Leadership confidence in the technology.
Prompt Template Builders: This is a big component of how businesses can find efficiencies by using Gen AI. Having prompt templates that can pull in certain values from other systems not only allows you to scale the solution but adds crucial levels of personalisation. Being able to have an LLM automatically respond to a customer query but grounded in the knowledge of exactly who it's writing to is very powerful.
Guardrails: Even when using prompt templates, you must ensure the content is suitable. Building in checks for acceptable language, toxicity etc, ensures a business can not only not offend anyone, but also stay on the right side of potential regulatory issues and PR disasters.
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Curated News
Alibaba's Commitment to AI Investment
Alibaba Group Holding reported an 8% increase in revenue for the quarter ending December, reaching 280.2 billion yuan ($38.38 billion). This growth is attributed to advancements in AI and e-commerce. CEO Eddie Wu announced plans to "invest aggressively" in AI and cloud computing over the next three years, aiming to achieve artificial general intelligence (AGI). Following this announcement, Alibaba's shares surged by over 14%.
Big Tech's Cost-Cutting for AI Investments
Major technology companies, including Amazon and Meta, are implementing cost-cutting measures to fund substantial investments in AI. Amazon's retail CEO, Doug Herrington, highlighted efforts to balance expense reduction with investments in new technologies. Despite layoffs and the closure of unprofitable segments, Amazon continues to invest heavily in AI and robotics to enhance long-term efficiency and customer experience. Similarly, Meta is reducing its workforce while increasing investment in AI talent.
Microsoft's Vision for AI in Knowledge Work
Microsoft CEO Satya Nadella discussed the transformative impact of AI on knowledge work, suggesting that AI agents will automate routine tasks, thereby evolving rather than eliminating knowledge-based roles. He envisions a future where human workers supervise AI agents, focusing on complex problem-solving while AI handles repetitive activities.
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Thanks for reading, and see you next Friday.
Simon,
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