Remove Artificial Inteligence Remove Big Data Remove Design Remove Government
article thumbnail

5 Digital Transformation Use Cases for the Government and Public Sector

Acuvate

In today’s highly disruptive and digital-driven world, governments and public sector institutions at all levels are leveraging newfound opportunities to use data and emerging technologies to empower citizens and build more transparent, efficient, agile, and cost-effective services and programs.

article thumbnail

The Automotive Industry’s Big Data Challenge (Part 1)

Corporate Innovation

In this two-part series, we will discuss the big data challenge facing the automotive industry. The pieces are the result of my work in the industry helping corporations with their innovation and big data strategies. There is much less conversation about the fifth dimension.

Insiders

Sign Up for our Newsletter

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

article thumbnail

The Automotive Industry’s Big Data Challenge (Part 1)

Corporate Innovation

In this two-part series, we will discuss the big data challenge facing the automotive industry. The pieces are the result of my work in the industry helping corporations with their innovation and big data strategies. There is much less conversation about the fifth dimension.

article thumbnail

Smart Factory 101 A Data, AI, Cloud and Workforce Revolution in the Making

Acuvate

For example, changes in product design, market demands, or production volume are more difficult to accommodate in these rigid legacy solutions. With the help of IoT, equipment, devices, and systems may exchange and monitor data in real time through improved connectivity. Traditional automation, however, has its drawbacks.

Data 52
article thumbnail

Smart Factory 101 A Data, AI, Cloud and Workforce Revolution in the Making

Acuvate

For example, changes in product design, market demands, or production volume are more difficult to accommodate in these rigid legacy solutions. With the help of IoT, equipment, devices, and systems may exchange and monitor data in real time through improved connectivity. Traditional automation, however, has its drawbacks.

Data 52
article thumbnail

The Automotive Industry’s Big Data Challenge (Part 1)

Corporate Innovation

In this two-part series, we will discuss the big data challenge facing the automotive industry. The pieces are the result of my work in the industry helping corporations with their innovation and big data strategies. There is much less conversation about the fifth dimension.

article thumbnail

3 Steps of Data Science to apply in your company

mjvinnovation

The phase involves both the human side, as we seek to understand what will be relevant for end-users and the technological side, to learn about the data sources available and how they are collected. data governance. Data Architecture Analysis: as the name says, it is to identify the company’s data architecture.

Data 40