adoption 
Analytics Vidhya
JANUARY 17, 2024
In a strategic move towards fostering innovation and advancing the adoption of Generative AI (GenAI), HCL Technologies (HCLTech) has announced a collaborative partnership with SAP. The collaboration aims to create cutting-edge solutions, leveraging the strengths of both entities, to drive transformative change across various business sectors.
insideBIGDATA
MARCH 9, 2023
In this contributed article, Bal Heroor, CEO and Principal at Mactores, believes that by 2027, it is nearly unavoidable that every business, both big and small, will need to get serious about adopting a high-value data analytics system.
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KDnuggets
MARCH 25, 2024
Organizations are adopting edge AI for real-time decision-making using efficient and cost-effective methods such as model quantization, multimodal databases, and distributed inferencing.
insideBIGDATA
MAY 14, 2024
Exasol’s 2024 “AI and Analytics Report” investigates the current state of AI implementation, top data analytics challenges, and the future of the C-suite given the explosive growth of data and adoption of emerging technologies.
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Every application provider has the same goals: to help their users work more efficiently, and to drive user adoption. But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect.
Analytics Vidhya
JANUARY 17, 2024
Capgemini and Amazon Web Services (AWS) have extended their strategic collaboration, accelerating the adoption of generative AI solutions across organizations. This collaboration aims to leverage […] The post Capgemini and AWS Strengthen Ties for Widespread Generative AI Adoption appeared first on Analytics Vidhya.
insideBIGDATA
JUNE 14, 2023
Airbyte, creators of a fast-growing open-source data integration platform, made available results of the biggest data engineering survey in the market which provides insights into the latest trends, tools, and practices in data engineering – especially adoption of tools in the modern data stack.
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As you explore analytics solutions for your application, see why self-service analytics— and how they're delivered— can prove critical to the adoption and stickiness of your application. Self-service analytics are vital for how your users interact and engage with your application.
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Great dashboards lead to richer user experiences and significant return on investment (ROI), while poorly designed dashboards distract users, suppress adoption, and can even tarnish your project or brand. Dashboard design can mean the difference between users excitedly embracing your product or ignoring it altogether.
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Otherwise, it can lead to a low adoption rate and a poor product experience. Organizational data literacy is regularly addressed, but it’s uncommon for product managers to consider users’ data literacy levels when building products.
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Every application provider has the same goals: to help their users work more efficiently, and to drive user adoption. But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect.
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Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.
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Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
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Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".
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Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.
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