This week we are pleased to announce the availability of Anaconda on IBM’s Cognitive Systems, the company’s high performance deep learning platform, highlighting the fact that Anaconda is regarded as an important capability for developers building cognitive solutions. The platform empowers these developers and data scientists to build and deploy deep learning applications that are ready to scale. Anaconda is also integrating with the IBM PowerAI software distribution that makes it simpler for companies to take advantage of Power performance and GPU optimization for data intensive cognitive workloads. 

 

There is no question that deep learning has come out to play across a wide range of sectors—finance, marketing, pharma, legal…the list goes on. What’s more, from now until 2022, the deep learning market is expected to grow more than 65 percent. Clearly, companies are increasingly looking deeply at this popular machine learning approach to help fulfill business needs. Deep learning makes it possible to process giant datasets with billions of elements and extract useful predictive models. Deep learning is transforming the businesses of leading consumer Web and mobile app companies and is also being adopted by more traditional business enterprises. 

That’s why this week we are pleased to announce the availability of Anaconda on IBM’s Cognitive Systems, the company’s high performance deep learning platform, highlighting the fact that Anaconda is regarded as an important capability for developers building cognitive solutions. The platform empowers these developers and data scientists to build and deploy deep learning applications that are ready to scale. Anaconda is also integrating with the IBM PowerAI software distribution that makes it simpler for companies to take advantage of Power performance and GPU optimization for data intensive cognitive workloads. 

At Anaconda, we’re helping leading businesses across the world, like IBM, solve the world’s most challenging problems—from improving medical treatments to discovering planets to predicting effects of public policy—by handing them tools to identify patterns in data, uncover key insights and transform basic data into a goldmine of intelligence. This news reiterates the importance of Open Data Science in all factors of business. 

Want to learn more about this news? Read the press release here


About the Author

Travis Oliphant

President, Chief Data Scientist & Co-Founder

Travis holds a PhD from the Mayo Clinic and BS and MS degrees in mathematics and electrical engineering from Brigham Young University. Since 1997, he has worked extensively with Python for numerical and scientific programming, most notably …

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