GM, Digital Solutions, Author at DAITAN

Poorly Defined Goals Put Your Next AI Project at Risk

Posted by GM, Digital Solutions
On January 21, 2021
AI Project, AI Project Goals, Artificial Intelligence, Business Goals, Machine Learning

Any technical project needs clearly defined goals for the best chance at a successful outcome. When using an emerging technology, like artificial intelligence, this issue becomes even more critical.

Using ML Canvas to Define Machine Learning Objectives

Posted by GM, Digital Solutions
On January 19, 2021
AI Project, AI Project Goals, Artificial Intelligence, Business Goals, Machine Learning

A Daitan Case Study It’s essential to keep goals and data at the center of your AI projects. Machine Learning goals require clarity, communication, and forward-thinking. The ML Canvas has helped us with a variety of customers prove results efficiently and successfully. This particular case study allows us to see the full story from start […]

Use Risk Analysis to Evaluate Your AI Partner

Posted by GM, Digital Solutions
On January 19, 2021
AI Project, AI Project Goals, Artificial Intelligence, Business Goals, Machine Learning

We've taken the time to break things down so you can best support your risk analysis to find a successful AI partner.

How Machine Learning Canvas Helps Teams Collaborate

Posted by GM, Digital Solutions
On January 19, 2021
AI Project, AI Project Goals, Artificial Intelligence, Business Goals, Machine Learning

A Daitan Case Study The beginning of success starts with collaboration. Daitan’s data scientist team prioritized communication and teamwork specifically in this particular AI project. Throughout the process, the machine learning team strived for consistent two-way communication between the international teams of machine learning experts and our client. In order to achieve such a high […]

Evaluate Your AI Partner Candidates

Posted by GM, Digital Solutions
On January 19, 2021
AI Project, AI Project Goals, Artificial Intelligence, Business Goals, Machine Learning

Risk-Evaluation Assessment for ML and AI partner candidates Finding the right AI consulting partner can be cumbersome and tedious, but incredibly important to improve the status of your business. Our risk-evaluation decision matrix or “cheat sheet” can help you evaluate your next AI candidate to find the best fit for your specific team and your […]

EMERJ Machine Learning Podcast: Listen Now

Posted by GM, Digital Solutions
On January 19, 2021
AI Project, AI Project Goals, Artificial Intelligence, Business Goals, Machine Learning

Listen and learn from our experts in this machine learning podcast to have a better understanding of how your business can leverage all of the benefits of AI, while taking all of the associated risks into consideration. There are multiple risks that machine learning can pose to even experts who take on AI projects. That’s […]

A Machine Learning Masterclass – On Demand

Posted by GM, Digital Solutions
On January 19, 2021
AI Project, AI Project Goals, Artificial Intelligence, Business Goals, Machine Learning

In this on-demand machine learning masterclass, you can get all the facts from experts to see the full picture for AI opportunities for your business. This specific machine learning masterclass will expand on the capabilities of the Machine Learning canvas, its design for collaboration, and elevated tools that allow AI teams the luxury of communication […]

Stakeholder Buy-in Helps AI/Machine Learning Projects Succeed

Posted by GM, Digital Solutions
On January 7, 2021
AI, AI Project, Business Goals, Machine Learning, Machine Learning Project

Stakeholder buy-in plays a critical role in the success of a machine learning project. Learn how early buy-in ensures your project reaches its goals.

Comparing different types of AI/ML Partners

Posted by GM, Digital Solutions
On December 3, 2020
AI, Data Science, Hiring, Software Development

An AI/ML project is often more challenging than an “ordinary” software project. It comes with unique risks that can threaten the desired business outcome. Given the high rate of project failures, or those that remain in “POC Purgatory” unable to be scaled into production, it’s critical for AI project owners to understand the risks they face to reach a successful product execution. In this article we will discuss one of these risks: the importance of building a team with the right skill sets

When Engineering Builds Business Value for a Company, It Should Get Credit For It

Posted by GM, Digital Solutions
On November 10, 2020
Business Outcome, Digital Business, Digital Transformation, Outsourcing, Software Development

I believe when engineering measures success in terms of growth-related business outcomes, the contribution to business value is significant—making it important to identify targeted outcomes at project onset, and not in hindsight as a justification for a new budget.

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Poorly Defined Goals Put Your Next AI Project at Risk

Using ML Canvas to Define Machine Learning Objectives

Use Risk Analysis to Evaluate Your AI Partner

How Machine Learning Canvas Helps Teams Collaborate

Evaluate Your AI Partner Candidates

EMERJ Machine Learning Podcast: Listen Now

A Machine Learning Masterclass – On Demand

Stakeholder Buy-in Helps AI/Machine Learning Projects Succeed

Comparing different types of AI/ML Partners

When Engineering Builds Business Value for a Company, It Should Get Credit For It

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