My Courses
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Cisco: Optimizing Campus and Branch Networks for AI: A Strategic Imperative
The Accelerating Impact of AI on Campus and Branch Networks, new research from Cisco and Foundry reveals a critical challenge: a widening gap between AI ambition and current network readiness. Despite acknowledging the need for modernization, even aggressive AI adopters report that their campus and branch networks are not adequately equipped to support the dynamic…
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Enterprises Are Sitting on $18 Trillion in Trapped AI Value. New Research Shows How to Unlock It
Genpact and HFS Research today published “The $18 Trillion Opportunity: How Four Enterprise Debts Will Make or Break Your AI Future,” a global study of over 2,000 enterprise executives spanning 16 industries and 14 functions. The research identifies nearly $18 trillion in recoverable enterprise value sitting inside Global 2000 companies and pinpoints the four interconnected…
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Yesterday’s Marketing Technology & AI News | June 15, 2026
Yesterday’s press releases tell a story that vendor headlines consistently obscure: the gap between AI investment and AI transformation in marketing is only widening. Three major reports dropped simultaneously on June 14–15, 2026, and together they paint a picture that every CMO needs to read carefully before approving another AI tool purchase.
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From PegaWorld: Pega CTO Don Schuerman on AI ambitions versus reality
Agility requires the discipline to reimagine how work gets done before automating it — because pointing AI at a broken process just produces a faster broken process. Today, we’re going to talk about: Why so many enterprise AI initiatives stall between ambition and production, and what separates the organizations that succeed from the ones that…
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Are you ready for the B2B buying journey to get cut by 72%? Martech Futurist | June 14, 2026
This week’s signals point to a structural shift in go-to-market architecture, not incremental AI feature adoption. The convergence of AI-mediated B2B buying (HBR’s “dark funnel” research), agentic commerce payment infrastructure (Visa/Mastercard), and persistent gaps in AI ROI measurement creates a strategic inflection point for marketing leaders. CMOs who treat these as separate technology trends will…
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Expert Mode: Why Your CX Strategy is Failing From the Inside Out with Jennifer Jones, RGP
As marketing leaders, we are in a perpetual state of optimizing the customer experience. We invest heavily in MarTech stacks that promise seamless omnichannel journeys, we commission exhaustive research to map every customer touchpoint, and we build sophisticated data models to predict the next best action. We operate under the reasonable assumption that with the…
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SupportNinja: Re-engineering CX Outsourcing: A Strategic Imperative for 2026
Customer experience (CX) is evolving rapidly, driven by advanced technology and heightened customer expectations. This shift demands a corresponding evolution in how enterprises leverage outsourcing partnerships. The traditional model, focused on cost containment and capacity augmentation, is no longer sufficient. Senior CX leaders are now tasked with transforming outsourcing into a strategic asset that drives…
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Pipefy Launches Solution that Turns AI Conversations Into Workflows
Unveils a new feature that links conversations on Claude, Codex, Gemini or Copilot to the management of processes, with governance, traceability, and measurable results
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EXL and Databricks Expand Collaboration to help Enterprises Build Trusted Data Foundations for AI
EXL [NASDAQ: EXLS], a global data and AI company, announced it has achieved Gold Tier Status in the Databricks Partner Program, expanding its collaboration with Databricks to help organizations strengthen their data foundations for enterprise AI through EXLdata.ai and Databricks’ security, governance and lineage capabilities.
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Expert Mode: The CX Reckoning of 2026 is Here. Are You Ready?
The past eighteen months have felt like a gold rush. Every software provider, every agency, and every internal innovation team was staking a claim in the vast, uncharted territory of generative AI. The pressure on marketing leaders was immense—not necessarily to drive results, but simply to do something. Slapping an “AI-powered” label on a feature…
