Remove services ai
article thumbnail

Certinia bakes AI into its latest professional services updates

CIO

Certinia has joined the growing ranks of enterprise software vendors turning to generative AI to enhance their offerings. The estimation process is notoriously complex — and lengthy — in the professional services sector. The Spring ’24 update, released today, contains numerous enhancements to Certinia’s core offerings.

article thumbnail

How CIOs use AI to elevate CX services

CIO

IT industry researchers believe the biggest impact of gen AI this year will be in customer experience (CX), with organizations using vast amounts of data to communicate with consumers and resolve problems faster. The tech researcher says companies will increase their use of AI-enabled tools to augment customer service agents’ capabilities.

Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

Tractor Supply enlists AI to deliver ‘legendary’ customer service

CIO

prides itself in delivering “legendary” customer service, and it has turned to artificial intelligence to assist with that goal. A new support tool, Hey GURA, combines generative AI with headsets to provide store employees with all kinds of information on the fly. Tractor Supply Co. It makes the team member much more efficient.”

article thumbnail

CIOs in financial services embrace gen AI — but with caution

CIO

Highly regulated, customer-centric, and dependent on layers of human involvement and manual processes, financial services are ripe for automation through artificial intelligence (AI). Those same characteristics, however, reveal the risks AI pose to this sector. AI is not the future of financial services — it’s the present.

article thumbnail

Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. But in order to reap the rewards that AI offers, it is essential that businesses first address how their organizations are set up, from their people to their processes. Building trust in AI.

article thumbnail

Toyota transforms IT service desk with gen AI

CIO

“One of my bold bets is I want to eliminate our traditional service desk by 2025,” says Jason Ballard, IT executive and general manager for infrastructure and operations services at Toyota Motor North America. Toyota is an early mover when it comes to generative AI, with roots in its robotic process automation (RPA) efforts.

article thumbnail

The $400 billion opportunity for AI in customer service

CIO

Not all AI-powered customer service chatbots are created equal—or created well. Take AVA, the AI-infused customer support bot that AirAsia introduced in 2019. She’s been replaced by a second-generation AI bot, Bo.) With enterprise spending on generative AI projected to hit $1.3

article thumbnail

Data Science Fails: Building AI You Can Trust

The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology. Download the report to gain insights including: How to watch for bias in AI.

article thumbnail

The Role of Artificial Intelligence in Pandemic Response: Lessons Learned From COVID-19

Recognizing the need to provide policymakers with accurate predictions of the spread of the coronavirus, DataRobot delivered an AI simulation of the spread of the coronavirus to the Department of Health and Human Services that soon became part of the ecosystem combating the pandemic. Modernization of U.S. health reporting standards.

article thumbnail

How Banks Are Winning with AI and Automated Machine Learning

By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the whitepaper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.

article thumbnail

How Banks Are Winning with AI and Automated Machine Learning

By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.

article thumbnail

Embrace AI: Make Your VoIP Service Stand Out

Dialogview is revolutionizing VoIP services with its AI-powered platform, which is now available for white labeling. With advanced conversational AI, Dialogview understands customer sentiments and queries in real time, without any button presses needed by users.

article thumbnail

Service Delivery: When Is the Right Time to Deploy Your AI?

Speaker: Dick Stark and Casey Steenport

70% of business decision-makers say that employees focus on more meaningful work with AI. The big buzz is around Artificial Intelligence, and how it can help IT service delivery teams crush their goals. You may have this question in your mind - ‘Is this the right time for deploying AI?' Customers have used AI for their success.

article thumbnail

Addressing Top Enterprise Challenges in Generative AI with DataRobot

The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments.

article thumbnail

Product Transformation: Adapting Your Solutions for Cloud Models

Speaker: Ahmad Jubran, Cloud Product Innovation Consultant

Those previous architectures, which were optimized for transactional systems, aren't well-suited for the new age of AI. Take your product a step further in the cloud with ML and AI services. Many do this by simply replicating their current architectures in the cloud. Optimize serverless and managed data processing pipelines.