The Future of Machine Learning and Artificial Intelligence
Artificial Intelligence (AI) and associated technologies will be present across many industries, within a considerable number of software packages, and part of our daily lives by 2020. Gartner has also predicted that by 2020, AI will become one of the top five investment priorities for at least 30 percent of Chief Information Officers. Global software […]
Read More →Managing Business Leadership Expectations Around the AI Hype
Click to learn more about author Oksana Sokolovsky and Rohit Mahajan. Like many technologies, AI is now in a full-scale hype cycle, both in the industry and the societal/consumer mainstream. While it’s nice to have broad interest and appreciation in what we technologists and Data Scientists are doing with AI, having the spotlight on it […]
Read More →The Data Scientist of the Future: What Will They be Doing?
As data continues to rise in volume and variety, and businesses grow more data-centric, the decision-making power of advanced algorithms is now openly welcome in enterprises of all sizes. Now, the average business user is not affected even if a knowledgeable Data Scientist is not around. Today, technology innovations are increasingly empowering the ordinary staff […]
Read More →Artificial Intelligence as a Game-Changer in the Public Cloud
Click to learn more about author Cristopher Burge. Artificial Intelligence (AI) and Machine Learning (ML)are two groundbreaking concepts that have changed the way we perceive computer science and data analysis. Cortana, Siri, Google’s Home Assistant are only a couple of examples of how AI’s leading the innovation crusade. Cloud Computing, one of the greatest gifts […]
Read More →Sophisticated Teams Pave the Way for Machine Learning
Click to learn more about author Ben Lorica. Machine Learning (ML) use in production dates back about 20 years. Leo Breiman chronicled a sea change in Data Analytics in the notable 2001 paper, “The Two Cultures,” based on the introduction of Machine Learning models at scale during the dot-com boom. Even so, it took two […]
Read More →How AI is leading to Autonomous Enterprise Integrations
Click to learn more about author Prasanna Kumar Illa. We all are aware that AI (Artificial Intelligence) plays an increasingly significant role in automating highly repetitive tasks, at scale. By repeatedly analyzing the data, AI adapts progressive learning techniques and discovers new crucial information, which was unnoticed before. It includes new capabilities to existing platforms […]
Read More →Announcing New Updates For the Intraspexion Deep Learning Litigation Prevention Software
According to a recent press release, “Intraspexion offers cutting-edge deep learning litigation prevention software. dtSearch provides its own document filters to parse a wide variety of data formats, and text retrieval to instantly search terabytes of data. Together, the companies announce new updates regarding the Intraspexion software with the embedded dtSearch Engine. The resulting Intraspexion […]
Read More →Putting AI to Work: Where Are We Now?
Click to learn more about author Ben Lorica. Back in May, I wrote an article for DATAVERSITY® Despite Investment in Deep Learning, AI Talent Pool is Shallow that explored how companies are putting Artificial Intelligence (AI) to work through Deep Learning. The article detailed how, despite the hype and desire to integrate this powerful technology […]
Read More →Data Architecture and Artificial Intelligence: How Do They Work Together?
Artificial Intelligence (AI) is rapidly gaining ground as core business competency. Today’s Machine Learning (ML) or Deep Learning (DL) algorithms promise to revolutionize business models and processes, restructure workforces, and transform data infrastructures to enhance process efficiency and improve decision-making throughout the enterprise. Gone are the days of data silos and manual algorithms. However, Why […]
Read More →The Future Impact of Data Science on Business Analytics
The field of Data Science is in a transitional mode in terms of how the latest data technologies are being used to solve business problems for a strategic advantage. In the near future, Data Scientists will conduct their business very differently. As Big Data, algorithm economics, IoT, and Cloud continue to become mainstream across global […]
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