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In recent years, Artificial Intelligence (AI) has increasingly changed how businesses operate across all sectors, especially Finance and Insurance, Professional Services, and IT according to CBInsights.

Identifying AI initiatives within a business is a joint effort between the line of business, engineering, and data science teams. In order for a company to benefit from AI, they must identify their business objectives and identify any financial constraints. Without a solid foundation and direction with a strong chain of communication between the business and technical teams, yielding positive returns will be challenging.

The benefits of AI can be seen in the success of the companies who were AI pioneers like Google, Facebook, and Amazon. Now, as the industry continues to evolve with new technologies and solutions, AI has become more accessible. This has created opportunities for companies of all sizes to leverage data to drive business decisions. However, the enterprise adoption of AI is still in its early stages, and many companies face high failure rates when it comes to Machine Learning (ML). According to ESI Thought Lab, only 20% of AI projects are in widespread deployment. Additionally, AI is not a “one-size-fits-all” solution, and 40% of AI projects create negative or no returns. …

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Artificial intelligence (AI) is a must-have in today’s economy and the benefits of data-driven businesses can be seen in the success of AI trailblazers like Google and Amazon. Today companies of all sizes are trying to stay competitive by collecting large amounts of data for data-driven decision making. However, until recently, ingesting, processing, and distributing large amounts of data in real-time across a single platform was a huge challenge for companies, especially for companies aggressively charting the path to AI.

Enter Apache…and the power of the open source community.

The Apache Software Foundation is the leader in open-source software with over 50 active projects. On a weekly basis, The Apache Foundation receives over 35 million page views and they boast of having over 460,000 active community members. One of the most successful projects to date has been with the distributed messaging system known as Apache Kafka. As a result of the efforts of this large community, Kafka has become a mainstream technology for the largest enterprises in the world. In fact, more than 30% of the Fortune 500 companies use Apache Kafka, specifically, an event streaming platform for high-performance data pipelines, real-time analytics, and data infrastructure. It is also open-source, meaning any company can build and distribute their own program with it. …

Meet The 2020 Class of Top Data Science Contributors and Thought-Leaders

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At The Data Standard, we are continually compiling data on talent and technologies. We want to highlight and acknowledge some of the fine work done by undergraduates and recent college graduates in the data science field.

After looking at hundreds of Data Scientists in the Tech, Retail, Finance, and Transportation sectors from many backgrounds in statistics, physics, computer science, and others. Our list is based on the quality of work these young minds have been able to accomplish before the age of 25.

The Data Standard proudly announces 2020’s 25 Under 25 List and look forward to seeing what these brilliant minds will do next in their careers. We know that they will continue to build great solutions that will have a meaningful impact on our lives. …

20 Data Science Leaders and Influences You Must Follow

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With the Data Science industry continually evolving, there can be a lot to keep up with. LinkedIn articles, podcasts, and Twitter are a great source of information that is easily digestible. We have compiled a list of people to help you eliminate unnecessary noise while staying connected to the Data Science community. The people listed promote learning and the sharing of knowledge by sharing their insights through LinkedIn, blog posts, podcasts, and other media.

Listed alphabetically, here are the top 20 data science Influencers in 2020:

1. Angela Shen-Hsieh

The Director of Innovation at Telefonica uses machine learning and AI to take complex data, find value, and develop new business lines. She also was previously the Program Director of Strategy and Offering Management at IBM Watson, where she worked on platforms for building cognitive AI and machine learning-based solutions for businesses. …


Stephanie Moore

Data Scientist @ The Data Standard: fostering conversations and sharing insights among leading data enthusiasts.

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