Cloudera

 

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Confused about which technology vendor to use for your business problem? Ask for help

    • Cloudera
    • http://www.cloudera.com/
    • 1,001-5,000 Employees

Description:
Cloudera delivers the platform for machine learning and advanced analytics built on the latest open source technologies. The world’s leading organizations trust Cloudera to help solve their most challenging business problems with Cloudera Enterprise, the fastest, easiest and most secure data platform available for the modern world. Our customers efficiently capture, store, process and analyze vast amounts of data, empowering them to use advanced analytics to drive business decisions quickly, flexibly and at lower cost than has been possible before. To ensure our customers are successful, we offer comprehensive support, training and professional services.




Headquartered: Palo Alto, CA
Date Founded: 2008

Case Studies (0)

Executive Interviews (1)

Interviewee Name: Amr Awadallah

Company Role: CTO and Co-founder

Interview Summary: If you’re going to apply machine learning (ML) in a business context, you need a lot of data, and algorithms across the board perform better with more recent, rich, and relevant data. Today, there are companies whose entire business models are predicated on helping others make sense of and use of this type of information, as more entities look for the first place to apply ML in their organization. In this episode, we speak with the CTO and Co-Founder of one such company—Palo Alto-based Cloudera. CTO Amr Awadallah, PhD, speaks with us this week about where he sees “data lakes” (or “data hubs”, Cloudera’s preferred term) and warehouses play an important role in ML applications in business. Based on his experiences helping a variety of companies in many countries set up data lakes, Amwadallah is able to distill and communicate these uses in three broad categories that apply across industries as companies look to apply ML applications to solve tough problems and ask more complex questions using unstructured data.

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Mentions on TechEmergence(3)

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With the development of free, open-source machine learning and artificial intelligence tools like Google’s TensorFlow and sci-kit learn, as well as “ML-as-a-service” products like Google’s Cloud Prediction API and Microsoft’s Azure Machine Learning platform, it’s never been easier for companies of all sizes to harness the power of data....

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AI in Banking - An Analysis of America's 7 Top Banks

While tech giants tend to hog the limelight on the cutting-edge of technology, AI in banking and other financial sectors is showing signs of interest and adoption - even among the stodgy banking incumbents. Discussions in the media around the emergence of AI in the banking industry range from the topic of automation and its potential to cut coun...

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6 Examples of AI in Business Intelligence Applications

Enterprise seems to be entering a new era ruled by data. What was once the realm of science fiction, AI in business intelligence is evolving into everyday business as we know it. Companies can now use machines algorithms to identify trends and insights in vast reams of data and make faster decisions that potentially position them to be competitiv...

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