Enterprise AI Strategy: Page

ServiceNow’s latest Now Platform focuses on AI, automation

ServiceNow doubles down on AI in its latest version of its Now Platform. Code-named Utah, the new version has several AI features intended to optimize business processes.

By Ed Scannell • March 22, 2023

Why continuous training is essential in MLOps

Organizations with machine learning strategies must consider when evolving data needs require continuous training of ML models.

By John Burke • March 16, 2023

How a time series forecasting vendor uses PyTorch Lightning

Time series forecasting company Nixtla uses the framework for building deep learning models as it works to develop open source software for its customers.

By Esther Shittu • March 16, 2023

No- and low-code AI’s role in the enterprise

Low-code tools enable noncoders to build and deploy AI applications. The growing list of these tools ensures that AI development is no longer confined to experts.

By Kashyap Kompella • March 9, 2023

Microsoft incorporates AI foundation model in business apps

The tech giant made the Florence foundation model available to a wider audience through Azure Cognitive Services. The service also is now available in Teams and other applications.

By Esther Shittu • March 8, 2023

How AI serves as a cornerstone of Industry 4.0

For manufacturing environments to be included in Industry 4.0, they must adopt up-to-date technologies to improve operations. AI should be foremost among them.

By Wiley Publishing, Cameron Hashemi-Pour • March 2, 2023

FTC wants vendors to stop lying about ‘AI-powered’ products

As AI's popularity grows with trendy tools such as ChatGPT, the federal agency warns vendors that are lying about how their products are built or performing.

By Esther Shittu • Feb. 28, 2023

Snapchat’s My AI uses ChatGPT, but not all enterprises can

The social media app's new AI chatbot uses the latest OpenAI technology. However, OpenAI's privacy policy might make it difficult for enterprises to use the large language model.

By Esther Shittu • Feb. 27, 2023

Inside the MLOps lifecycle stages

Developers tasked to train machine learning models are turning to the MLOps lifecycle. The different stages are meant to increase operational speed and efficiency.

By John Burke • Feb. 27, 2023

How industries use AI to ensure sustainability

How can e-commerce companies optimize shipping routes to reduce emissions? How can data centers lower energy use? The answer is a sustainability strategy driven by AI technologies.

By Kashyap Kompella • Feb. 10, 2023

How a digital retail firm uses enterprise search

Glean trains language models based on a customer's documents and other stored content. Its platform sits on users' technology stack to provide for smooth integration.

By Esther Shittu • Jan. 30, 2023

ChatGPT could boost phishing scams

The conversational AI tool could make it hard to detect attackers due to how conversant and grammatically correct it is. A way to combat that is to create a detector.

By Esther Shittu • Jan. 25, 2023

AI use cases in banking create opportunities, improve systems

AI has become increasingly more common in the banking industry and has found a home sifting through data, improving back-end systems and assisting with customer service.

By Kathleen Walch • Jan. 24, 2023

What Microsoft’s new investment in OpenAI means for Google

The investment was expected as ChatGPT drew immediate worldwide attention. Observers now look to Google to see how the dominant search vendor will respond to ChatGPT's popularity.

By Esther Shittu • Jan. 23, 2023

DataStax acquires ML vendor as part of AI evolution

The acquisition will let customers apply machine learning to real-time events. It is a natural step toward AI technology for the vendor as it looks to stay competitive.

By Esther Shittu • Jan. 19, 2023

Data, analytics and AI predictions for 2023

The expansion of big data, analytics and artificial intelligence we saw in 2022 will continue into the new year and present both new opportunities and challenges for organizations.

By Mike Leone • Jan. 11, 2023

Biggest AI news of 2022

From misinformation and disinformation in the war in Ukraine to James Earl Jones lending his voice to voice cloning, these are the most notable stories of the year.

By Esther Shittu • Dec. 21, 2022

Four AI trends to look for in 2023

From a new algorithm law to combat hiring bias in New York City to the growth of generative tools and technologies, AI will keep growing and be used by more enterprises next year.

By Esther Shittu • Dec. 19, 2022

How enterprises determine whether to buy or build AI models

From the USPS to appliance company Conair, organizations employing machine learning technology sometimes need to determine whether it's better to buy or build capabilities.

By Esther Shittu • Dec. 8, 2022

How significant is AI’s role in Industry 4.0?

Many examples exist to demonstrate the effectiveness of AI in Industry 4.0. It entails the newest revolution in manufacturing, so naturally advanced tech like AI will play a crucial role.

By John Burke • Dec. 6, 2022

Enterprise applications of the metaverse slow but coming

From holographic avatars to training surgeons, metaverse applications for enterprises are many. But the technology for organizations is still in its infancy.

By Esther Shittu • Nov. 18, 2022

Defining requirements key to manage machine learning projects

Machine learning projects are likely to fail without proper planning. 'Managing Machine Learning Projects' provides guidance on how to plan by defining ML project requirements.

By Manning Publications Co., Cameron Hashemi-Pour • Oct. 31, 2022

CRM and BPM vendor Pegasystems adds new AI features

The CRM and business process management vendor, looking to scale up, introduced new features for business users, service representatives and call center customers.

By Esther Shittu • Oct. 19, 2022

New Microsoft AI tools aim at business end users

Microsoft released new features for the Azure Cognitive Services suite, as well as a Form Recognizer and Responsible AI dashboard aimed at both data scientists and business users.

By Esther Shittu • Oct. 12, 2022

RPA vendor Automation Anywhere aims at process discovery

While the vendor's new platform is geared towards automation, the market is shifting. Many enterprises are now moving away from RPA and toward process mining and discovery.

By Esther Shittu • Oct. 5, 2022