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Data Analytics: Strategies to Demonstrate Value and Achieve Transformation

CIO

While “consumption” matters are just as critical, getting data supply right is essential to ensuring that data — and the insights it drives — are available and trustworthy. These leaders also struggle to set up metrics that demonstrate their programs’ achievements of transformation objectives. Analytics, Business Intelligence.

Analytics 264
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How the C-Suite Can Champion Sustainability Across the Enterprise

CIO

We’re entering a new era of sustainability-driven business transformation – where organizations that embrace sustainability as core to their business will be the ones that succeed. Cloud is key to enabling and accelerating that transformation,” said Justin Keeble, managing director of global sustainability at Google Cloud.

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App Modernization in the Digital Age: The Role of AI and ML in Application Modernization

OTS Solutions

In today’s fast-paced digital age, one way to achieve transformation in existing services is through app modernization, which involves updating or transforming existing apps to meet current industry standards and user demands. It can also help organizations better understand their data and make data-driven decisions.

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Why is Now The Perfect Timing for Digital Transformation in Financial Services?

OTS Solutions

Nowadays, Financial organizations are at the peak of their business transformation. Several financial businesses have launched their apps to compete in this digital transformation in financial services. Top Trends of digital transformation in Financial Services. Luckily, machine learning is giving us a way out.

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App Modernization in the Digital Age: The Role of AI and ML in Application Modernization

OTS Solutions

In today’s fast-paced digital age, one way to achieve transformation in existing services is through app modernization, which involves updating or transforming existing apps to meet current industry standards and user demands. It can also help organizations better understand their data and make data-driven decisions.

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Bringing AI to your organization? Better bring the right database

CIO

These leaders succeed with these real-time AI capabilities in large part because of their ability to aggregate massive amounts of real-time data from customers, devices, sensors, or partners as it moves through applications. This data in turn is used to train and serve machine learning models.

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The IBM Press Release on Spark That Every Tech Leader Should Read

CTOvision

IBM will also put more than 3,500 IBM researchers and developers to work on Spark-related projects at more than a dozen labs worldwide; donate its breakthrough IBM SystemML machine learning technology to the Spark open source ecosystem; and educate more than one million data scientists and data engineers on Spark.