Have you ever looked at a spreadsheet and it seems like a dead end? Maybe it’s hard to read or hard to make reasonable conclusions about the data it contains.It’s well understood that data powers better decision-making but getting to those valuable insights can be exhausting and taxing on agency employees.This is where data science comes in. Join us Tuesday, Aug. 30 at 2 p.m. ET/11 a.m. PT to hear how to leverage data science conce...

The CPMAI methodology is the industry’s best practice methodology for successful AI & ML projects. Cognilytica’s CPMAI training and certification prepares you to succeed with your AI & ML efforts, whether you’re just beginning or are well down the road with implementation. In this course, trainees will learn the following: Fundamentals of AI and ML Terminology and concepts The Seven Patterns of AI AI Project Managemen...

The Advanced Process Management: From Automation to Intelligence course provides fundamental understanding of automation systems and increasing levels of intelligence with step by step practical guidance. This course provides a detailed overview of Robotic Process Automation (RPA) and process automation systems, including evolution of Business Process Management (BPM) and Business Process Integration (BPI), moving to higher levels of intellige...

The Practical & Comprehensive Ethical & Responsible AI Framework Development Training & Certification provides a comprehensive deep dive into the components of ethical & responsible AI frameworks and provides a guided, step by step approach for crafting an implementable Ethical and responsible AI framework. This course dives deep into a comprehensive ethical AI framework, which standardizes ethical frameworks from over 60 organ...

Developing AI and machine learning models is just the first step to keeping AI and ML systems performing and providing their needed value to the organization. In addition, organizations are realizing the need to manage models produced by other parts of their organization of third-parties. The developing area of Machine Learning Operations (ML Ops) and additional aspects of machine learning lifecycle management has emerged to address these need...

A well-defined and comprehensive big data strategy lays out the steps needed to become a more data-forward organization. Crafting a well-thought out and actionable strategy in the face of continual changes and demands for big data is a challenge. In the Building & Managing a Data-Forward Organization training and certification, Cognilytica provides guidelines, frameworks, and a roadmap for building a data-forward organization combined with...

We invite you this month to RSVP and join the Azure Government user community as we explore the “Art of the possible: AI in government” Wednesday, March 30 from 6 – 7 p.m. ET during a virtual meetup where we’ll discuss strategies, best practices and the latest tech driving exciting AI for good projects. With increasing mission demands and vast amounts of data, government continues to look at ways to spur innovation and...

Want to learn how to successfully run AI projects at any scale? Learn the latest best-practices methodology for AI, ML, and data analytics projects with Cognilytica’s Cognitive Project Management for AI (CPMAI) Methodology. Cognilytica’s CPMAI AI & ML Project Management Training & Certification is recognized around the world as the best practices methodology for implementing successful AI & ML projects. The CPMAI method...

GET CERTIFIED ON THE LATEST ETHICAL AND RESPONSIBLE AI BEST PRACTICES AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Complete this course and get certified on Cognilytica’s comprehensive, internationally recognized approac...

Far too often, agencies, organizations, and consulting firms are running data and AI projects without taking the right steps to ensure their success. Agile and iterative approaches have become adopted best practices for application development projects, but why don’t we have something similar when it comes to advanced analytics, big data, and AI projects? Without using best-practices approaches that standardize steps for data preparation...