Enterprise AI Strategy: Page

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

Domino Data Lab partnerships target AI project management

The vendor has integrated its Nexus MLOps platform with Nvidia GPU architecture and the NetApp data management and storage system to help organizations better deploy ML projects.

By Esther Shittu • Sept. 22, 2022

AI vendor SambaNova intros next generation of DataScale

The AI vendor released an updated version of its DataScale system. The new system boasts improved performance and expanded memory for enterprises working with large models.

By Esther Shittu • Sept. 14, 2022

Troubled AI vendor DataRobot hit by more layoffs

The layoffs come after the former CEO quit amid criticism that he and top execs dumped stock as the company's financial outlook dimmed. The AI vendor is now in downsizing mode.

By Shaun Sutner • Aug. 26, 2022

How businesses can benefit from conversational AI applications

Conversational AI tools have traditionally been limited in scope, but as they become more humanlike, businesses have realized their potential and applied them to more use cases.

By Lisa Morgan • Aug. 24, 2022

Lessons enterprises can learn from Meta BlenderBot 3

The tech giant's AI chatbot raises concerns on how enterprises can train natural language generative systems without creating controversial and damaging products.

By Esther Shittu • Aug. 11, 2022

Why banks need MLOps for digital transformation

Financial institutions should look to MLOps to ease the development, deployment and management of machine learning models. MLOps is often ignored, yet banking will benefit from it.

By Tanika Gupta • Aug. 4, 2022

UiPath acquires NLP vendor in effort to expand beyond RPA

The vendor's acquisition aligns with its strategy of expanding beyond its robotic process automation footprint to try to compete more effectively with tech giants.

By Esther Shittu • Aug. 2, 2022

OpenAI Dall-E could spark enterprise creativity

The natural language tool could entice enterprise users who create content and are interested in the metaverse -- if it can pass muster with the corporate compliance team.

By Esther Shittu • July 22, 2022

The future of data science: Career outlook and industry trends

The future of data science as a profession is unclear, as new technologies change the responsibilities of data scientists. It may also soon change the nature of the job.

By Lisa Morgan, Kurt Cagle • July 15, 2022

AI21 secures $64M in funding as NLP market grows

AI21 Labs is now worth $664 million. Its growth shows the demand for more language models and tools despite the dominance of models like OpenAI's GPT-3, GPT-J and GPT-Neo.

By Esther Shittu • July 14, 2022

How enterprises can establish an AI-first data strategy

Enterprises looking to mature in their use of AI must focus on the information they're putting into their models. Their models should create trust in their business.

By Esther Shittu • July 8, 2022

Hybrid AI examples demonstrate its business value

As businesses weigh the potential benefits of implementing AI systems, hybrid AI examples demonstrate the technology's practical value for businesses.

By Lisa Morgan • June 28, 2022

Real-world hyperautomation examples show AI’s business value

Hyperautomation examples in the real world help businesses automate as many of their processes as possible and achieve their strategic goals. AI is instrumental in these efforts.

By John Burke • June 24, 2022

How companies can achieve AI ROI

Companies realize AI for security is crucial to mitigate today's threats and think ROI from such investments is achievable. The investment community is also bullish on the future of AI ROI.

By Jerald Murphy • March 17, 2022

RPA market expected to plateau in the next few years

While the technology was useful during the pandemic, enterprises are shifting away from its simple fix and are looking at more complex ways of automating business processes.

By Esther Shittu • March 10, 2022

Enterprise hybrid AI use is poised to grow

Hybrid AI is an approach for businesses that combines human insight with machine learning and deep learning networks. Despite certain challenges, experts believe it shows promise.

By Lisa Morgan • March 3, 2022

Nintex expands range by acquiring RPA vendor Kryon

Acquiring Kryon enables Nintex to expand its scale. Robotic process automation is important for enterprises seeking digital transformation in their business.

By Esther Shittu • Feb. 17, 2022

AI vendor H2O.ai introduces new deep learning tool

H2O Hydrogen Torch can be used in healthcare, HR and customer experience settings. Users can make models for image, video and natural language processing applications.

By Esther Shittu • Feb. 17, 2022

Fintech vendor releases AI tool for commercial real estate

Unlike the residential real estate market, growth in commercial real estate has been slow. A fintech vendor is seeking to fill a market need for commercial real estate data.

By Esther Shittu • Feb. 8, 2022

How enterprises will use the still-undefined metaverse

Some metaverse systems will affect the future of work and how enterprises operate. However, their impact will be fully seen only after the full meaning of the metaverse is known.

By Esther Shittu • Feb. 7, 2022

predictive modeling

Predictive modeling is a mathematical process used to predict future events or outcomes by analyzing patterns in a given set of input data.

By Joseph Carew, Ed Burns, George Lawton • Jan. 21, 2022

AI vendor Fractal kicks off 2022 with $360M fund raise

The AI vendor's fundraising success shows investors' willingness to pump money into vendors that are applying AI in vertical industries.

By Esther Shittu • Jan. 6, 2022

RPA vendor Automation Anywhere to acquire FortressIQ

The acquisition is expected to help the vendor advance its AI platform with process discovery, while giving it a well-rounded product in time for its public offering.

By Esther Shittu • Dec. 23, 2021

Why TinyML use cases are taking off

TinyML technology can successfully collect and analyze data in real scenarios, as demonstrated in various use cases.

By Lisa Morgan • Dec. 20, 2021