The discourse surrounding AI in contact centers suggests a nuanced approach rather than outright replacement of human agents. While AI can enhance efficiency and improve customer experience, it poses challenges, especially with ingrained systems. Successful integration requires understanding business needs and leveraging AI to augment, not entirely replace, human roles, focusing on value enhancement.
Tag: AWS
Cisco AI Summit Expands and Elevates the Enterprise AI Conversation
Cisco's AI Summit in San Francisco featured prominent industry leaders discussing AI's potential and challenges. Key themes included the importance of trust, infrastructure constraints, and the need for effective data management. Cisco executives emphasized AI's transformative role in enterprise, urging a rethinking of technology utilization to harness opportunities and address current gaps.
HPE Embraces Agentic AI and Signals a Power Shift in Enterprise Ops
I was on the ground this week at HPE’s annual Discover conference in Las Vegas. At the conference HPE made a slew of announcements that demonstrated a significant shift in both their direction and ultimate value to enterprise customers. In…
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Four Key Takeaways from SAP Sapphire
This week, SAP held their annual Sapphire conference in Orlando. Sapphire brought together 14,000 people to see the latest SAP has to offer…and the evolution of their thinking. I’ve attended Sapphire for many years, and this year has been one…
The Velocity Chain: Creating the flywheel for business acceleration
Enterprise executives aim to accelerate and differentiate their businesses by utilizing data more effectively, with AI serving as a catalyst. To enhance decision-making speed and direction, organizations must address the complexities of data governance and focus on aligning insights with core business objectives. Starting small while accelerating processes fosters greater organizational agility and performance.
Infrastructure is back in vogue for enterprises driven by AI and new outcomes
Since the start of the cloud era, on-premises infrastructure took a back seat to cloud-based alternatives. Many enterprise workloads moved from corporate data centers to cloud-based alternatives including cloud hyperscalers Amazon Web Services (AWS), Google Cloud and Microsoft Azure. Not…
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Are we approaching peak LLM and do we need to rethink how we use LLMs?
It seems that every week brings a new LLM to the market. At this point, most major vendors have one or more LLMs for enterprises to choose from. With the sheer number of LLMs available today, it can be overwhelming…
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Amazon re:Invent Recap – Cloud, AI, Data and more
Amazon just held their annual Amazon Web Services (AWS) re:Invent conference in Las Vegas with more than 50,000 attendees in-person with many more attending online. The conference is so large that it spans the entire Las Vegas strip from the Wynn to Mandalay Bay…
CIO In The Know – AI Fatigue is coming and what’s next
Whew! Typically the summer months are slower than the rest of the year, but this summer has been nothing but crazy busy! I attended plenty of great industry events this summer. In June, there was HPE Discover, Snowflake Summit and…
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Splitting up big enterprise companies could be a good thing
This may be a bit controversial and/or counterintuitive…but hear me out. For years, people have talked about splitting up large enterprise companies for antitrust reasons. On the surface, breaking up large companies for antitrust reasons may seem like a good…
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