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machine learning
Machine Learning Challenges You Might Not See Coming
There seems to be a skills gap, and a skills misunderstanding, when it comes to Data Science, Engineering, and DevOps as a joint process. At our machine learning consultancy, Infinia ML, we view deployment as a sequential process across teams: (1) Data Science explores data and develops algorithm(s). (2a) Engineering... Read more
What You Need to Know About Adopting Big Data, AI, and Machine Learning
Most businesses are now very familiar with technologies like big data analytics, artificial intelligence (AI) and machine learning (ML). Executives have poured over case studies and performance statistics to better understand how these technologies can improve their products and services, as well as improve efficiencies and reduce costs associated with... Read more
Unleashing the Power of AI Machine Learning to Improve the Hiring Process
Undoubtedly, the power of machine and algorithmic driven intelligence empowered by exponentially growing data – collectively referred to as artificial intelligence (AI), riding on the cusp of cloud-based computing, has tremendously revolutionized our visions and perception beyond any bounds. Cumulatively, rapid scaling of digital technologies is driving out-of-box boundaries of... Read more
Automating Machine Learning: Just How Much?
Many businesses are interested in deploying machine learning, predictive analytics, or AI to gain the upper hand and make the right decisions. This can be a struggle as finding the right technology and trustworthy experts is both expensive and complex. Even when the technology is provided, deploying machine learning is... Read more
Asking the Right Questions with Machine Learning
Chris Gropp, a PhD student at Clemson University, spoke at HPCC Systems Tech Talk 10, focusing on how to plan effectively at the start of a machine learning research project to achieve a successful outcome. This blog shares his experience on how to ask the right questions with machine learning,... Read more
Darwin: Machine Learning Beyond Predefined Recipes
While machine learning has enabled massive advancements across industries, it requires significant development and maintenance efforts from data science teams. The next evolution in human intelligence is automating the creation of machine learning models that do not follow predefined formulas, but rather adapt and evolve according to the problem’s data.... Read more
Artificial Intelligence and Machine Learning in Practice: Anomaly Detection in Army ERP Data
Overview Assessing and improving readiness remains a significant priority for the United States Army. With this priority in mind, the Army recently launched a project to enhance its supply chain data environments by leveraging the power of artificial intelligence (AI) and machine learning (ML). The Army’s Logistics Innovation Agency (LIA)... Read more
Detecting Cybersecurity Incidents with Machine Learning
Editor’s note: Vasudha is a presenter for the upcoming ODSC East 2019 this April 30-May 3 in Boston! Check out her talk “Detecting Cybersecurity Incidents with Machine Learning” there. Data breaches are a growing threat to both companies and consumers.  For individuals, breaches can result in the release of private... Read more
AI and Machine Learning in Practice
AI needs to be strategic. Playing with AI on the edges and deploying small prototypes and pilots isn’t going to help revolutionize your business model. Rather, taking a long look at your current business and deciding where AI has the potential to make the most significant impact is the way... Read more
Machine Learning and Compression Systems in Communications and Healthcare
Machine learning has all sorts of applications across disciplines. Two important fields using machine learning to solve long-standing issues are communication and healthcare. Dr. Thomas Wiegand, executive director and professor at the Fraunhofer Henrich Hertz Institutionalization, goes over exciting advances made in these disciplines due to machine learning. [Machine Learning... Read more