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Shaping the future: OMRON’s data-driven journey with AWS

AWS Machine Learning Blog

By analyzing their data, organizations can identify patterns in sales cycles, optimize inventory management, or help tailor products or services to meet customer needs more effectively. Lambda enables serverless, event-driven data processing tasks, allowing for real-time transformations and calculations as data arrives.

AWS 83
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Databricks launches SAP Databricks to integrate enterprise data and AI

Dataconomy

Capgemini : SAP Databricks will enable seamless data integration, maximizing AI-driven business benefits, said Niraj Parihar, CEO of insights and data global business line at Capgemini. EY : Connecting data across the enterprise unlocks transformative business opportunities, said Hugh Burgin, EY-Databricks alliance leader.

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Redefining AIOps IT Workflows with Legacy System Visibility

Precisely

Tool overload can lead to inefficiencies and data silos. If you rely on retrospective data, youre creating a lag in decision-making, which simply isnt good enough to stay ahead of security or operational disruptions. The difficulties faced by IT teams often boil down to three key issues: Data silos.

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Sneak peek at Microsoft Fabric price and its promising features

Dataconomy

Unified data storage : Fabric’s centralized data lake, Microsoft OneLake, eliminates data silos and provides a unified storage system, simplifying data access and retrieval. This open format allows for seamless storage and retrieval of data across different databases.

Power BI 194
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Responding in real time to changing market dynamics

IBM Journey to AI blog

Even if business teams could access real-time events, little to no training in coding becomes yet another wall to climb in their efforts to perform data analysis. If you had access to real-time pricing data, you could receive immediate notification of drops in prices and take earlier action.

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Democratizing data for transparency and accountability

Dataconomy

While data democratization has many benefits, such as improved decision-making and enhanced innovation, it also presents a number of challenges. From lack of data literacy to data silos and security concerns, there are many obstacles that organizations need to overcome in order to successfully democratize their data.

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Clients can strengthen defenses for their data with IBM Storage Defender, now generally available

IBM Journey to AI blog

With IBM Storage Defender, clients can cut through data silos and devise an action plan to strengthen their data resilience. For example, a client could air-gap copies of the most sensitive data, hold it off-premises and periodically test for recoverability.