Enterprise AI Strategy: Page

IBM acquires RPA vendor to enhance automation suite

IBM bought a Brazilian RPA and chatbot vendor to expand its collection of automation products.

By Mark Labbe • July 8, 2020

Learn the business value of AI’s various techniques

To drive business value from AI, business managers need to distinguish between the various AI techniques, starting with the many flavors of machine learning.

By George Lawton • June 30, 2020

RPA use cases expanding in large enterprises

Robotic process automation veterans at Blue Prism's virtual conference talk business process automation strategies, obstacles and untethering bot deployments from cutting jobs.

By Shaun Sutner • June 24, 2020

Predictive maintenance vendor launches AI warranty

A predictive maintenance vendor added a new warranty to its platform that pays customers $100,000 for repair if the AI-based prediction system fails to foresee a machine breakdown.

By Mark Labbe • June 11, 2020

Hospital IoT highlighted by AI use cases and wearable devices

AI in healthcare can provide patients and doctors with better care and support through prescriptive analytics, wearable devices and illness detection.

By Scott Robinson • June 8, 2020

5 AI technologies in business that are making a big impact

Learn how image recognition, speech recognition, chatbots, natural language generation and sentiment analysis are changing how businesses operate.

By George Lawton • June 2, 2020

Enterprises should not neglect AI digital transformation

Enterprises should focus on automation to augment their workforces as they recover from the COVID-19 economic downturn, and not lose sight of larger digital transformation projects.

By Mark Labbe • May 29, 2020

AI document processing remains a subtle but powerful use case

Artificial intelligence has found strong use cases in content summarization and document categorization within the medical, marketing and legal fields.

By Kathleen Walch • May 28, 2020

AI’s impact on business: The quest to make money

'Bionic' companies have cracked the code on using AI to make money. Here is what IT and business leaders need to do to maximize AI's impact on the business.

By Mary Pratt • May 19, 2020

AI in digital transformation vital for enterprises

Without using AI, enterprises will not be able to compete effectively, according to the CEO of Box. Companies need to infuse AI into their digital transformation efforts now.

By Mark Labbe • May 6, 2020

MLOps tools hope to boost enterprise model implementation

Taking notes from DevOps lifecycle management, machine learning operations tools and platforms seek to improve accuracy, ease integration problems and keep models trained.

By George Lawton • April 30, 2020

Can the future of voice assistants include enterprise use?

Voice assistants haven't had the success that companies originally expected. AI and machine learning could go a long way to boost this technology.

By Joseph Carew • April 28, 2020

8 emerging AI use cases in the enterprise

New approaches to AI model building, more system thinkers -- amid a global pandemic, the landscape has changed for AI applications in the enterprise. Here are eight emerging AI use cases.

By George Lawton • April 21, 2020

Comparing MLaaS providers by cost, UX and ease of use

MLaaS allows companies to add machine learning capabilities without software development. There are still some barriers to entry, however, and providers are not one-size-fits-all.

By Scott Robinson • March 31, 2020

How to identify projects that create AI business value

When AI projects lead with technology, they rarely have a business impact. Instead, business leaders should target projects to make a meaningful improvement in processes.

By Ed Burns • March 31, 2020

RPA adoption trends point to broadening use cases

RPA is frequently discussed, but here we sort out the potential of this technology -- and the limiting factors that prevent it from living up to the hype.

By Joseph Carew • March 10, 2020

Data Science Central co-founder talks AI, data science trends

In a Q&A, Vincent Granville, executive data scientist and co-founder of Data Science Central, discusses how AI has changed the data science field and the ways in which it will continue to do so.

By Mark Labbe • March 6, 2020

How to create NLP metrics to improve your enterprise model

As standardized NLP framework evaluations become popular, experts urge users to focus on individualized metrics for enterprise success.

By George Lawton • Feb. 28, 2020

How stock market prediction using AI impacts the trading floor

Robo-advisors and stock monitoring bots are changing the way traders and investors take on the stock market.

By Kathleen Walch • Feb. 25, 2020

Customer experience vendor benefits from AI in forecasting

Using Anodot, customer experience software vendor Gainsight can automatically surface anomalies in its data and fix them, often before they become major problems.

By Mark Labbe • Feb. 13, 2020

Social media marketing vendor uses sentiment analysis

Falcon.io, a social media marketing vendor, turned to AI vendor Lexalytics to add automatic social media sentiment analysis capabilities to its platform.

By Mark Labbe • Feb. 6, 2020

AI in hiring gets companies more talent, faster

Through processes like automated candidate sourcing and candidate rediscovery, AI sifts through many resumes to find those most suited to a position.

By Joseph Carew • Jan. 28, 2020

How to overcome 4 major challenges in AI adoption

While companies are stuck in the research phase of AI, a few simple infrastructure analyzations can jumpstart the process -- and ensure successful deployment.

By Scott Robinson • Jan. 17, 2020

Sensor and analytics vendor Motionloft closes

Motionloft is ending its data collection services on Jan. 17, leaving its customers without a way to use their Motionloft sensors. The company is insolvent.

By Mark Labbe • Jan. 13, 2020

Autonomous retail cuts operational costs, personalizes shopping

Companies are starting to deploy popular AI technologies like RFID, facial recognition and sensor tracking to provide consumers with autonomous shopping experiences.

By Ron Schmelzer • Dec. 31, 2019