Remove Algorithm Remove Data Analysis Remove Innovation Remove Learning
article thumbnail

Making AI accessible leads to greater innovation

CIO

Organisations still struggle to connect the algorithms they are building to a business value proposition, which makes it difficult for IT and business leadership to justify the investment it requires to operationalise models.”. With so much innovation available through AI, organisations are facing a disrupt or be disrupted scenario.

article thumbnail

Ford’s high-tech business transformation, fueled by cloud

CIO

Ford is unique among large automotive manufacturers in its selection of GCP, which Dave McCarthy, research vice president of cloud and edge services at IDC, says provides Ford a strong foundation for data-driven operations. Trust me, we’ve seen productivity improvements in development.”

Business 747
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Use this Strategic Approach to Maximize Your Data’s Value

Smart Data Collective

Thankfully, there are ways to take advantage of the modern-day widespread access to data and truly get the most value possible from it. The answer lies in the utilization of AI and machine learning technology to assist with all of the steps associated with using data from collection to analysis.

Advantage 314
article thumbnail

Important Steps to Take to Address the Bias in AI

Smart Data Collective

We mentioned previously that bias is a big problem in machine learning that has to be mitigated. This is why the notion of biased artificial intelligence algorithms shouldn’t be surprising as the whole point of AI systems is to replicate human decision-making patterns. Adversarial Learning. Reject Option-based Classification.

Algorithm 334
article thumbnail

Embracing Analytical Sandboxes: A Roadmap to Data-Driven Innovation

Athena Solutions BI

This environment contains a copy of the production data having the necessary tools and technologies for data analysis and visualization. Analytical sandboxes can hold and analyze large volumes of data accumulated from different internal and external sources. What Are the Components of an Analytics Sandbox?

article thumbnail

Embracing Analytical Sandboxes: A Roadmap to Data-Driven Innovation

Athena Solutions BI

This environment contains a copy of the production data having the necessary tools and technologies for data analysis and visualization. Analytical sandboxes can hold and analyze large volumes of data accumulated from different internal and external sources. What Are the Components of an Analytics Sandbox?

article thumbnail

AI Is Changing the Automotive Industry Forever

Smart Data Collective

With the help of machine learning algorithms, vehicles can now navigate roads and highways without human intervention. With the help of sensors and data analysis, AI algorithms can predict when a vehicle is likely to experience a mechanical problem or breakdown. Time will tell how significant the impact will be.

Algorithm 245