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The Failed Promises of Digital Transformation and What to Do About It

Ontotext

Digital Transformation, which has been a top priority for CEOs and boards of directors for many years, has had mixed results. As graph data platforms become more widely understood, they play a key enabling role in delivering on many of the failed promises of Digital Transformation. Let’s be frank.

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The Impact of Healthcare BI Tools on Decision-Making and Patient Care

FineReport

These innovative solutions pave the way for future trends in healthcare, shaping the industry’s digital transformation journey. Through interactive dashboards and graphical representations, clinicians can readily interpret complex data sets, driving timely interventions and adjustments to positively impact patient care.

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Buy Your Embedded Analytics and Empower Your End-Users With the Right Data

Jet Global

Market Drivers and Current Trends Organizations are increasing focus on the potential value within big data, seeking to better understand their customers and improve their products. The challenge is collecting all that data into one place and making it understandable.

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How to choose the best AI platform

IBM Big Data Hub

Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio. Quality assurance : AI-driven machine vision on data-driven assembly lines identifies product defects, issuing alerts for corrective actions to maintain quality.

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Business process management (BPM) examples

IBM Big Data Hub

BPM uses workflow automation to automate repetitive tasks such as data entry, reconciliation and report generation. Real-time visibility into financial data enables organizations to respond quickly to changing market conditions. In fact, BPM can be used to improve the project management process.

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Shutterstock capitalizes on the cloud’s cutting edge

CIO Business Intelligence

The company, which customizes, sells, and licenses more than one billion images, videos, and music clips from its mammoth catalog stored on AWS and Snowflake to media and marketing companies or any customer requiring digital content, currently stores more than 60 petabytes of objects, assets, and descriptors across its distributed data store.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. Coding skills – SQL, Python or application familiarity – ETL & visualization? Can you expand on the idea of a data literacy program as an opportunity for D&A perceived as consultative?