Pete Marston

Finance and accounting require complete #digitaltransformation to optimize processes and improve data accuracy. An #ISGProviderLens report says #serviceproviders are adding advanced tools and industry-specific expertise to help clients. https://dy.si/d1QzGs

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AI Gateways and AI TRiSM Integration architectures Gartner clients often ask us how to implement and integrate AI TRiSM controls into their environments. Below are diagrams we share to illustrate common architectural options today and in the future. Thanks to APEX for introducing us to the concept of "Secure AI Edge", which we use to title the trending configuration below. And thanks to Gartner colleague Andrew Humphreys for leading our just-published research on AI Gateways. You can read about it in Andrew's post here: https://lnkd.in/e_dfyVcr which links to the Gartner research note behind our firewall. AI Gateways are just part of the story for layered runtime AI controls. Layered trust, risk and security controls are always a best practice. #cybersecurity #AI #GenAI #security #data #trism , Manjunath (Manju) Bhat Tomer Y. Avni Deepak Seth Shrey Pasricha

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Subscription pricing must evolve to include tech-supported consumption-based pricing, the ISG Subscription Management Buyers Guides say. Enterprises want to leverage #ERP and #CRM systems with applications to add new revenue without interrupting #CX. https://dy.si/uXoN3X2

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Many companies with complex #supplychains are co-developing specialized #analytics systems with providers, an #ISGProviderLens report says. #Serviceproviders and enterprises are beginning to apply #AI and #GenAI to many use cases. https://dy.si/K2ABG6

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A recent Capgemini Research Institute report found that 96% of executives cite generative AI as a hot topic in boardrooms. I also believe that #GenerativeAI, combined with human intelligence, can revolutionize the consumer experience. My team at Capgemini has helped numerous clients utilize Gen AI to improve their efficiency and customer experience (CX) in various key areas, including: Marketing - Developing data-driven, dynamic, and personalized content campaigns Sales - Automating routine tasks to free up agents for meaningful, client-facing opportunities Service – Supercharging service agents to resolve requests quickly and accurately Download Capgemini’s latest paper, published in partnership with @Microsoft, to explore the full range of Gen AI use cases in CX: https://lnkd.in/ghYnWQUC Drop your comments below if you have leveraged Gen AI to elevate your employee and #CustomerExperience. Feel free to DM me to discuss further!

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As companies seek #AI-powered solutions with GenAI capabilities to achieve greater agility, resiliency and customer centricity, upcoming #ISGProviderLens reports will assess providers of intelligent, AI-powered automation for enterprise business processes. https://dy.si/oa7yQM2

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On Tuesday, May 28th, Amy Machado and I published IDC's second IDP-focused MarketScape entitled, Worldwide Unstructured Intelligent Document Processing (IDP) Software 2024 Vendor Assessment (here is the link for subscribers to access the report: https://lnkd.in/gEYtmwnQ). This study, which solely evaluated an IDP vendor's ability to process unstructured documents, extended the prior analysis and research from IDC's foundational, general-purpose IDP software vendor MarketScape published in November 2023.  Congratulations and a big thank you to all the included vendors (highlighted at the bottom of this post), and a big shout out to their respective analyst relation's teams for their teamwork, cooperation, time, and patience. Amy and I appreciate you working so closely with us over the last year on these two studies!  --- If I had to capture some of the key points from the study, I would share that: 1.) IDC has seen considerable interest, excitement, and momentum from both vendors and customers to (successfully) extend IDP further into the world of unstructured documents. 2.) Although LLMs and multi-modal AI models are one of the key enablers unlocking a vendor's ability to support unstructured document processing, there is definitely something to be said about the need to leverage and extend purpose-built IDP mechanisms and workflow capabilities alongside these emerging model architectures. (This is doubly true for mission-critical unstructured documents use cases and/or when straight-through processing [STP]/automation is expected/required.) 3.) There isn't a single vendor today that is well suited to address every customer's unstructured IDP project and use case requirements. This diversity across technology, use cases, and business requirements creates opportunities for vendors to differentiate their offerings and develop industry, role, or use case specializations. 4.) IDC has seen the unstructured IDP market mature significantly over the last 12 months, and there is a consensus recognition that there is still considerable work to do. The rate of IDP technological change and innovation over the last 6 months is particularly noteworthy.  5.) Most importantly, we are just scratching the surface of the potential of unstructured document IDP. Customer organizations have troves of dark data (and documents) that they want to mine for insights. Many of these documents are unstructured, and the IDP ecosystem wants to help them see the light. 😀 If you are a technology buyer looking to learn more about the IDP space or a technology vendor who would like to share their technology and strategy story with IDC, please drop Amy Machado or me a message on LinkedIn. ABBYY, Adobe, Alkymi, Altilia, AntWorks, Datamatics, EdgeVerve, Google Cloud, Hyperscience, Infrrd, inovoo GmbH, Kodak Alaris, SER Group, Tungsten Automation, UiPath

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ISG (Information Services Group) recently published CRM Buyers Guide highlights the disparity that many enterprises will find themselves in when it comes to taking advantage of the more meaningful #AI driven uses cases that will enhance sales and service effectiveness in the coming years. The truism is that for many organizations, profitable and sustainable revenue growth predominately comes from existing companies. For a CRM to be useful, data is needed, not just typical CRM account data, but also historical data about product and service usage, service history, financial data, data from similar other customers and third-party data. The successful management of this data will be increasingly a source of competitive advantage as AI is used to leverage it to better prepare sales and service to successful engage and be the trusted partner that customers are looking for. And many enterprises will find that they are not ready as their legacy processes have not led to good data governance and hygiene practices. As part of this CRM Buyers Guide, we looked at not just typical functional capabilities but also at platform capabilities that support better data acquisition, management and governance. Platform specific summary here - https://lnkd.in/e6Ghw8i9 Overall guide and research summary - https://lnkd.in/e4Z-tWMe #CRM #CRMplatform #Revenue

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From accelerating vehicle production in the automotive industry to enhancing customer service in the banking industry to personalizing patient care among healthcare providers, these GenAI use cases show enormous promise across sectors. Learn from three real-world generative AI uses cases. Gartner for IT | #GartnerIT #GenerativeAI #Innovation #FutureTech

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SAP's Christian Klein says that LLMs ultimately will be commoditized, and #SAP's value is in its process data. This is spot-on: LLM development should be left to the companies for which Gen AI model development is core. That said, I expect large SaaS vendors to develop SLM and industry-specific models to round out their offerings. #sapsapphire

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In this article for CMS Wire my SAS colleague Jonathan (Jon) Moran argues that high-quality data is indispensable for generative AI in marketing to ensure the predictive insight, personalization prowess and process compliance that so many brands desire today. #CMO #marketing #GenAI http://2.sas.com/6047cmQ1J

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General-purpose AI models are impractical for higher-value enterprise use cases that require industry-specific data and domain expertise. Explore how vertical AI can lead to market differentiation. #GartnerHT #HighTech #AI

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#GenAI is the latest workplace transformation, an #ISGProviderLens report says. #Serviceproviders are helping enterprises in Brazil leverage technologies in and beyond IT, including advanced chatbots and RPA in areas such as #HR and #finance. https://dy.si/qstgHa

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Nearly $50 million in targeted investments awarded to the Departments of State, Education and Commerce. New #TMF investments boost agency projects in generative AI, digital service delivery, and accessibility. More on the story at FedScoop with Caroline N. with statements from Clare Martorana Fed CIO and TMF Chair. You can meet the decision-makers at https://lnkd.in/ewpQDDE6

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As companies seek #AI-powered solutions with GenAI capabilities to achieve greater agility, resiliency and customer centricity, upcoming #ISGProviderLens reports will assess providers of intelligent, AI-powered automation for enterprise business processes. https://dy.si/mDxDQ

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As with any innovation, executive leaders must understand the drivers and barriers that come with using generative AI.   Explore Gartner for IT's proven applications of GenAI to enhance your customer experience. #GartnerIT #CIO #GenerativeAI

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