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Key Steps Involved in the Machine Learning Process: A Primer

Dataiku

Machine learning has become more and more accessible in the last few years. Thanks to advancements in automated machine learning (AutoML), collaborative AI , and machine learning platforms (like Dataiku ), the use of data — including for predictive modeling — across people of all different job types is on the rise.

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SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Plus, AI can also help find key insights encoded in data. We live in a data-rich, insights-rich, and content-rich world.

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How can CIOs build an effective Generative AI strategy?

CIO Business Intelligence

A recent PagerDuty survey also found that 71% of businesses are looking to expand investments in AI and machine learning (ML) in the next year. To support with this compliance process, CIOs must implement effective data management processes throughout their organization.

Strategy 114
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FPGA vs. GPU: Which is better for deep learning?

IBM Big Data Hub

Underpinning most artificial intelligence (AI) deep learning is a subset of machine learning that uses multi-layered neural networks to simulate the complex decision-making power of the human brain. Deep learning requires a tremendous amount of computing power.

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TIAA modernizes the customer journey with AI

CIO Business Intelligence

Customer experience is a key pillar of TIAA’s mission to help employees of nonprofit institutions achieve their retirement goals. This is our first foundational step in automating that and making it as proactive as possible.”

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Extract time series from satellite weather data with AWS Lambda

AWS Big Data

This type of processing can be found in weather and climate research, but also in applications like photovoltaic and wind power. A generalization of the problem could be stated as follows: how can we extract data along a dimension that is not the partition key from a large volume of multidimensional data?

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2 Innovations That Can Tip the Balance in Cybersecurity

CIO Business Intelligence

It is something all of us in cybersecurity need to understand — and a key national security priority. In my view, there are two key interrelated developments that can shift the cybersecurity paradigm. Prevention is key Any good defensive strategy should be comprehensive with protection, detection, response, recovery, and resilience.

Software 144