Enterprise AI Strategy: Page

New DataRobot CEO sees bright AI future for the vendor

New CEO Dan Wright discusses how DataRobot can stay competitive in a crowded AI marketplace, new markets for the vendor, and how DataRobot has tackled the pandemic.

By Mark Labbe • April 9, 2021

Abbyy releases Vantage 2 and a new skills marketplace

Abbyy aims at further injecting automation and intelligence into its products with the launch of a new marketplace and an update to its Vantage platform.

By Mark Labbe • March 23, 2021

Icertis raises $80M for AI-powered contract management

Icertis, founded in 2009, is now valued at more than $2.8 billion with the new funding. The vendor is a key player in the contract management niche.

By Mark Labbe • March 12, 2021

Automation vendor WorkFusion raises $220 million

A new round of funding may vault WorkFusion into the top echelon of enterprise automation vendors currently occupied by UiPath, Blue Prism and Automation Anywhere.

By Mark Labbe • March 9, 2021

Steel producer reduces costs using AI in manufacturing

The largest long steel producer in Latin America used data and machine learning predictions to save money, while maintaining the same level of production quality.

By Mark Labbe • Feb. 26, 2021

5 examples of effective NLP in customer service

Through use cases such as chatbots, recommendation systems and customer relationship management, NLP and AI are playing an important role in enterprise customer service.

By Kathleen Walch • Feb. 24, 2021

Businesses pivot back to AI adoption after year of slow growth

AI adoption has taken a step back when it comes to enterprise IT spending priority, but it remains a steady investment for enterprises across industries.

By Joseph Carew • Feb. 23, 2021

Do you have competitive data science key skills?

Data scientists should be familiar with a variety of programming languages, machine learning algorithms and databases and must be able to communicate these skills across teams.

By Joseph Carew • Feb. 2, 2021

AI vendors may have to prove systems don’t discriminate

Washington state is considering a bill that would require vendors to prove their AI algorithms aren't biased. If enacted, the AI regulation could have far-reaching implications.

By Mark Labbe, Makenzie Holland • Jan. 29, 2021

Data democratization strategy for machine learning enterprise

In the enterprise, data democratization works to break down data silos by opening access to an organization's data across teams in an effort to improve workflows.

By Kathleen Walch • Jan. 26, 2021

The power and limitations of enterprise AI

A panel at CES 2021, held virtually this year, discusses the areas in which modern-day AI and automation shine, and where they still struggle.

By Mark Labbe • Jan. 13, 2021

AI trends in 2020 marked by expectation shift and GPT-3

In the past year, AI hyperscalers got serious about their machine learning platforms, expectations were reset and transformer networks empowered the GPT-3 language model.

By Joseph Carew • Dec. 31, 2020

AI ROI questions to ask and the hidden costs of AI

While ROI can be difficult to show with AI projects, it is crucial for AI teams to anticipate costs and prove each investment is worth the enterprise's time.

By Kathleen Walch • Dec. 22, 2020

New, updated IBM AI tech bring better NLP, NLU to business users

IBM is commercializing its AI governance tool, AI FactSheets, and bringing more natural language capabilities to some of its Watson products.

By Mark Labbe • Dec. 9, 2020

How AI adoption by industry is being impacted by COVID-19

While COVID-19 has impacted budgets and businesses plans, some industries are seeing improved processes and consumer relationships due to new investments in AI and automation.

By Kathleen Walch • Nov. 30, 2020

Courses teach automation to prepare students for the workforce

At a California university, students in April Morris' class learn how to use RPA and analytics tools. They hope to use the skills to get jobs out of school.

By Mark Labbe • Nov. 25, 2020

Application of AI in robotics boosts enterprise potential

The combination of AI and robotics has allowed companies to move past automation and tackle more complex and high-level tasks with their robots.

By Kathleen Walch • Sept. 29, 2020

GCP powers AI in marketing at McDonald’s

McDonald's uses the Google Cloud Platform to drive its personalized marketing efforts, which has helped the company grow and know its customers better.

By Mark Labbe • Sept. 3, 2020

3 keys for the implementation of AI in the enterprise

Organizations need to focus on diversity, proper scaling and augmentation capabilities when implementing artificial intelligence in order to keep the process pain-free.

By Nicola Bianzino • Aug. 31, 2020

Combining AI and predictive analytics crucial for the enterprise

Predictive analytics, when combined with artificial intelligence, can assist organizations with their risk management, as well as their planning and optimization.

By Kathleen Walch • Aug. 31, 2020

Modern AI evolution timeline shows a decade of rapid progress

AI has become an asset for organizations to better understand their business position, and its capabilities have improved dramatically over the past decade.

By Joseph Carew • Aug. 25, 2020

AI, robotics help businesses pivot supply chain during COVID-19

Big enterprises such as Wayfair, UPS, Unilever and Siemens move to automate more of their supply chains with AI as the coronavirus pandemic disrupts business operations.

By Shaun Sutner • Aug. 21, 2020

Reimagining creativity and AI to boost enterprise adoption

AI has yet to reach the point of creativity but continues to advance, while assisting humans in the production of their own creative works and improvement of their organizations.

By Joseph Carew • Aug. 18, 2020

AI in operations management relieves pressure on IT teams

AI, when combined with IT operations and DevOps teams, forms AIOps that can greatly improve how IT assets are developed, produced and managed.

By Ron Schmelzer • July 24, 2020

The state of AI in 2020 likely sees more adoption

AI adoption has appeared to grow this year, as organizations deploy automation to augment dwindling workforces and help deal with growing demand during the COVID-19 pandemic.

By Mark Labbe • July 24, 2020