Deepak MK, Vice President of Data Science at ExamRoom.AI sits in with Jake to discuss the company’s primary mission: to provide a highly secure, unified assessment system and fair environment to the candidates who take online remote proctored exams.

ExamRoom.AI’s [See the full post…]

AI is the new hot thing in business. Everyone wants to talk about how they are harnessing AI to make their business better. However this is not a trivial process, and maybe companies are left wondering what went wrong. Aible [See the full post…]

One of the greatest challenges to using AI/ML in industry is reducing your time to solution so that your data scientist and engineers have a chance to iterate. Setting up a machine learning pipeline from scratch can be a complexity [See the full post…]

As AI continues to play an ever-increasing role in applications and decision-making, the challenges facing developers of these AI workloads continue to expand higher and higher. Through this talk, gain a deeper understanding of the current landscape and challenges facing [See the full post…]

In this Intel Conversations in the Cloud audio podcast: Nelson Lee, Head of Partnerships at Synergies joins host Jake Smith to discuss the importance of data science and AI in the manufacturing industry. Nelson talks about how Synergies works [See the full post…]

The rapid advancement in machine learning and data science fields have aided data scientists in arriving at meaningful insights. However, it’s not been an easy task to optimize machine learning infrastructures to allow data scientists to focus on their core [See the full post…]

The next generation of scientists and coders need more than a love of science and technology. The use of supercomputers in digital design to simulation pose opportunities solving the world’s biggest questions. Katherine Riley, director of science for Argonne’s Leadership [See the full post…]

Data scientists spend 60% of their time cleaning and preprocessing data, transforming this dirty data into crystallized insights. Dataframes, such as Pandas, provide exceptional tooling to address data wrangling tasks, yet Pandas themselves increasingly lack ease and speed as they [See the full post…]

Peter Wang, CEO and Co-Founder of Anaconda, explains the series of happy accidents that have led to organic adoption of Python as the number one language among developers in data science and machine learning in this episode of Code Together [See the full post…]

In this Intel on AI podcast episode: The process of diagnosing a patient with chest abnormality is done by radiologists and doctors with a lot of experience and expertise. This involves looking for the presence of foreign bodies, infiltrates, [See the full post…]

Join Domino Data Labs Director of Product Mac Steele on another edition of Intel on AI. Mac illustrates the workflow challenges that many data scientists face today and how Domino’s Data Science Platform enables data science and quantitative research teams [See the full post…]

In this Intel Chip Chat audio podcast with Allyson Klein: Michael Bishop, CTO and Co-Founder at AlphaVertex, discusses combining data science and machine learning on Intel Xeon Scalable processors available on Google Cloud Platform. He mention develop models, insights, [See the full post…]

In this Intel Chip Chat audio podcast with Allyson Klein: Dr. Dawn Nafus, Senior Research Scientist at Intel, joins us live from the Intel AI Lounge at SXSW 2017. Nafus is a social anthropologist with Intel Labs and conducts [See the full post…]

In this Intel Chip Chat audio podcast with Allyson Klein: Kathy Ball, Manager E&P Analytics and Data Science for Devon Energy, joins us live from Intel AI Day in San Francisco. A data science pioneer in the oil & [See the full post…]

In this Intel Chip Chat audio podcast with Allyson Klein: Dr. Julie Krugler Hollek, co-organizer of PyLadies San Francisco and Data Scientist at Twitter, joins us to discuss efforts to democratize participation in open source communities and the future [See the full post…]