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Analytics operating system Redbird makes data more accessible to non-technical users

TechCrunch

Almost every team in their business needs access to analytics and other information that can be gleaned from their data warehouses, but only a few have technical backgrounds. Erin formerly worked at McKinsey, helping companies set up and run data analytics capabilities, while Deren was chief product officer at Saks Fifth Avenue.

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7 famous analytics and AI disasters

CIO

Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year.

Analytics 351
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3 ways Generative AI is transforming the retail industry

CIO

Generative artificial intelligence (GenAI) tools such as Azure OpenAI have been drawing attention in recent months, and there is widespread consensus that these technologies can significantly transform the retail industry. How can Generative AI speed innovation in retail? Caton : CarMax reviews millions of vehicles.

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Nvidia offers retail loss prevention software to accelerate accelerator chip sales

CIO

GPU manufacturer Nvidia is expanding its enterprise software offering with three new AI workflows for retailers it hopes will also drive sales of its hardware accelerators. Instead, it will make them available for enterprises to integrate themselves, or to buy as part of larger systems developed by startups or third-party systems integrators.

Retail 184
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Securing the Digital-First Model for Retail

CIO

Retailers continue to adopt a digital-first approach to customer experience, both in-store and online. To meet the customer demands of a digital-first business model, retailers need to address their critical digital infrastructure and rethink network design and cybersecurity. Retail-specific vulnerabilities.

Retail 237
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The New Way Companies are Harnessing Data at the Edge for Value Added in Real-Time

CIO

Imagine a factory or a chain of retailers reducing energy and cutting equipment downtime. 2] Here, we explore the demands and opportunities of edge computing and how an approach to Business Outcomes-as-a-Service can provide end-to-end analytics with lowered operational risk. These scenarios are not imaginary.

IoT 301
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The rise of the data lakehouse: A new era of data value

CIO

Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. With the advent of big data, a second system of insight, the data lake, appeared to serve up artificial intelligence and machine learning (AI/ML) insights. Enter the data lakehouse.

Data 349