The Traditional Analytics to Modern Analytics Best Practices course provides the understanding needed to adapt traditional approaches to analytics and business intelligence to modern analytics approaches, ranging from traditional database and data warehouse approaches to data lake and evolving data mesh methods. As a data professional, you know the data world is constantly evolving. As organizations move from traditional methods of analytics s...

Test Instrumentation Workshop will support our need to be alert and aware of all technological developments that may have an impact on our test and evaluation operations. This workshop will discuss selected tenets of the various sensor instrumentation support to include the network, communications, and the massive resultant data. Join us to share your experiences, lessons learned, and solutions to the problems we face in today’s constrai...

You may feel the sudden rise of artificial intelligence (AI) based applications a bit overwhelming. From the uproar of ChatGPT to automating basic tasks like reoccurring email invites, AI is everywhere. Numerous federal agencies are already exploring the use of AI and machine learning. Before you take that step, you need to understand both the benefits and limits of the technology. Join us online Wednesday, May 24, at 2 p.m. ET/11 a.m. PT, to...

Get trained and certified in the best-practice Cognitive Project Management for AI (CPMAI) methodology for AI, ML, and data analytics projects. The Cognitive Project Management for AI (CPMAI) methodology is the proven path to success with AI, Big Data, and analytics projects. Cognilytica’s CPMAI AI & ML Project Management Training & Certification is recognized around the world as the best practices methodology for implementing su...

The Traditional Analytics to Modern Analytics Best Practices course provides the understanding needed to adapt traditional approaches to analytics and business intelligence to modern analytics approaches, ranging from traditional database and data warehouse approaches to data lake and evolving data mesh methods. As a data professional, you know the data world is constantly evolving. As organizations move from traditional methods of analytics s...

Get trained and certified in the best-practice Cognitive Project Management for AI (CPMAI) methodology for AI, ML, and data analytics projects. The Cognitive Project Management for AI (CPMAI) methodology is the proven path to success with AI, Big Data, and analytics projects. Cognilytica’s CPMAI AI & ML Project Management Training & Certification is recognized around the world as the best practices methodology for implementing su...

The Traditional Analytics to Modern Analytics Best Practices course provides the understanding needed to adapt traditional approaches to analytics and business intelligence to modern analytics approaches, ranging from traditional database and data warehouse approaches to data lake and evolving data mesh methods. As a data professional, you know the data world is constantly evolving. As organizations move from traditional methods of analytics s...

Get trained and certified in the best-practice Cognitive Project Management for AI (CPMAI) methodology for AI, ML, and data analytics projects. The Cognitive Project Management for AI (CPMAI) methodology is the proven path to success with AI, Big Data, and analytics projects. Cognilytica’s CPMAI AI & ML Project Management Training & Certification is recognized around the world as the best practices methodology for implementing su...

The Traditional Analytics to Modern Analytics Best Practices course provides the understanding needed to adapt traditional approaches to analytics and business intelligence to modern analytics approaches, ranging from traditional database and data warehouse approaches to data lake and evolving data mesh methods. As a data professional, you know the data world is constantly evolving. As organizations move from traditional methods of analytics s...

Learn fundamental big data skills and knowledge required to be an effective manager in a data-forward organization. Topics covered include fundamentals of big data, data science, data engineering, machine learning and AI, data visualization, dealing with big data challenges, data integration, evolving data mesh approaches, and other key aspects and data skills needed to understand and utilize data in a professional environment. Certificate of...