There’s No ML Without Data

Carm Taglienti, Chief Data Officer and Distinguished Engineer on Friday, November 11, 2022

Businesses generate large amounts of data every day. The more data your business generates, the more potential there is for confusion surrounding that data: What is the data telling you? Do you have the data you need? And most importantly, are you asking the right questions?

MLOps: Challenges, Misconceptions, and Mindset

Greg Steinmetz, National Data & AI Practice Director on Thursday, November 03, 2022

Every business generates massive amounts of data that can be used to improve decision-making, whether the decision is where to go as an organization, how to improve processes, how to manage customer relations, or something else. Data can also help solve business challenges like how to increase revenue, increase efficiency, or how to make an application smarter.

Modern Applications: Full-Cycle Development at Your Fingertips

Ben Westmoreland, Senior Manager, Solutions on Thursday, October 27, 2022

When it comes to setting your organization up for success, a great place to start can be within the realm of software development. At Insight, we have expertise in Modern Apps — a broad practice that focuses more on the build and deploy areas of applications.

From Outdated to Transformative: Application Modernization

Mark Candelora, Sr. Manager, Engineering, Connected Platform on Thursday, October 27, 2022

Modernizing legacy apps can transform their performance — and the value you get from them. Achieving this often requires a consultative approach that minimizes costs and avoids security blunders. Here’s what that looks like.

Want to Get Into the AI Game but Don't Know Where to Start?

Carm Taglienti, Chief Data Officer and Distinguished Engineer on Wednesday, October 19, 2022

Artificial Intelligence (AI) is one of the most transformative technologies available to modern businesses across industries, driving a great deal of the technological change we are witnessing in today’s world. Voice assistants, manufacturing robots, spam filters — AI is everywhere and constantly evolving.

Why the Developer Gap Is Really a Prioritization Gap

Brad Nelson, Product Strategy & Agility Manager on Friday, September 23, 2022

In this blog, learn the difference between productivity and value and how to optimize the efficacy of your development team by removing the distraction of unvaluable work.

Multicloud Budgeting: Smart Distribution of Workload & Costs

Carm Taglienti, Chief Data Officer and Distinguished Engineer on Tuesday, September 20, 2022

When it comes to cloud, a multicloud approach can give you the best access to expanded capabilities and efficiency. In this blog, learn why this method works for organizations in need of diverse and flexible tools.

Beyond the Backlog: How Citizen Developers Can Help Close the App Gap

Michael Nardone, National Senior Manager on Thursday, September 15, 2022

On a recent Insight Live, Carm Taglienti, J. Broad, and I discussed how companies can enable citizen developers to positively impact their organization. Watch the webinar on demand to learn more.

An Agilist's Take on Demystifying Data Science

Kris Schroeder, Business Architect & Agilist on Tuesday, September 13, 2022

With the knowledge that enterprises are prioritizing AI and machine learning initiatives over other IT initiatives, I knew I wanted to share my experience with other non-data scientists to prepare them to be successful.

Lasting Success With Data Science: Fostering Agility Across Data Science Teams

Kris Schroeder, Business Architect & Agilist on Tuesday, September 13, 2022

In this third and final part of our series of blogs on data science, we’ll explore why your data science teams should be striving for agility.

Displaying results 51-60 (of 282)
 |<  <  2 - 3 - 4 - 5 - 6 - 7 - 8 - 9 - 10 - 11  >  >|