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From People to Tech arbitrage: Can we really survive this Great Services Transition?
We are in the S-Curve evolution from People to Technology Arbitrage, that the Generative Enterprise demands. This is truly the Great Services Transition, where the entire financial construct of services relationships is being reinvented to capitalize on the complex new ecosystem of AI platform players, hyperscalers, data integration products, automation tools, LLM builders, and so on. Enterprises must address their debts in these four areas which have likely collected over the last 30+ years: People debt, Process debt, Data debt and Technical debt.Read More
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Why actions will eat code
After a remarkable journey through the era of computerization and its remarkable contributions, we stand at a pivotal moment of innovation. It's time to bid farewell to a core element that has been instrumental in its success: We must undertake a comprehensive reevaluation of our enterprise application suites and the ecosystem of coding that has been central to their development and support. Our future is all about visible actions and invisible technology...Read More
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One small hop for tech, one giant leap for mankind… can Rabbit’s Large Action Model disrupt how we get things done?
Large Action Models (LAM) are the most exciting development in AI evolution since ChatGPT was launched. Having an AI assistant not dependent on islands of apps that do not integrate with each other is everything we've been crying out for... But the future potential of LAMs is a lot bigger than addressing this burning problem plaguing our smartphone lives - it also has significant implications for the future of enterprise tech. It's just incredible that while Google, Meta, Microsoft, et al. are all working on the evolution of LLMs toward actions and problem-solving, a startup like Rabbit is allegedly ahead of them. Welcome rabbit.tech and step forward Jesse Lyu, who could well be the new Chinese Steve Jobs.Read More
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Process intelligence unlocks faster and better innovation with GenAI
When enterprises define their GenAI adoption roadmap, they must consider the value process intelligence can deliver if they want the technology to reach its full potential. Celonis Founder Alex Rinke sat down with Phil Fersht to talk about the value of partnerships with the likes of of LLaMA and Hugging Face, so it might get even easier to infuse process intelligence with your Generative AI plans.Read More
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IDP goes beyond document processing to unlock insights from masses of data
HFS has published its first intelligent document processing (IDP) Horizons report covering the broad landscape of IDP vendors landscape engaging with major enterprises.Read More
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Industry Cloud must be about value creation, not re-badging IP… Unveiling the HFS Industry Cloud Continuum
Many hyperscalers and service providers are merely repackaging and rebadging existing IP and marketing it as “Industry Cloud.” However, at HFS we believe Industry Cloud can become the Holy Grail for Cloud-native transformation, but only if the focus is on new business models and value chain disruption.Read More
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Azeem Azhar: Will bad processes kill your GenAI revolution?
In a fireside conversation with HFS Research CEO and Chief Analyst Phil Fersht, AI evangelist Azeem Azhar offers evidence that LLMs are already helping people do their work quicker, at higher performance levels – and with greater employee satisfaction.Read More
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Fighting financial crime with GenAI… less Gen-wash and more Genpact please!
Genpact makes a bold step forward to make GenAI real and impactful in fighting financial crimeRead More
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One clear process intelligence market leader emerges
The 'HFS Horizons Process Intelligence Products 2023' evaluates leading process mining and task mining vendors’ capabilities. Process intelligence products have the potential to help enterprises significantly impact operations and tackle technical and process debt.Read More
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Redefining leadership roles is critical to be an effective Autonomous Enterprise
A strong governance capability has the talent, tech infrastructure, automation, and AI to deliver the data that will drive success with minimal manual interventions that impede progress and speed. The ultimate goal of an autonomous enterprise allows us humans to remove ourselves from some parts of the system so that we can make continuous improvements to the ecosystem as a whole. What are the leadership roles needed to understand the data they need? How can we build the right internal teams and external partnerships to support an autonomous enterprise? And how can we design smart governance to manage key decisions faster with some degree of confidence? Read More