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.
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…
Meet The 2020 Class of Top Data Science Contributors and Thought-Leaders
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…
20 Data Science Leaders and Influences You Must Follow
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:
The Director of Innovation at Telefonica uses machine learning and AI to take complex…
Stephanie Moore
Data Scientist @ The Data Standard: fostering conversations and sharing insights among leading data enthusiasts.
