AI Business is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them. Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 3099067.

Industry Content

Latest Content
Overseeing AI: Governing artificial intelligence in banking
  • Information Resources
AI is changing the face of the banking industry. How can banks meet the governance challenges and take advantage of this game-changing technology? To answer this crucial question, the Economist Intelligence Unit (EIU) and Temenos have produced a new report – Overseeing AI: Governing Artificial Intelligence in Banking Key findings in the report include: • 77% of banking leaders believe AI will define winning from losing banks.* • COVID-19 will intensify the use of AI. This makes effective governance more urgent • “Black box” risk and lack of human oversight are key concerns surrounding the use of AI in banking. This makes ethical, fair and well-documented AI-based decisions vital. To create this report, the EIU conducted a global regulatory review of over 25 reports and summarized the main issues raised by regulators on the topic of managing AI risks in banking. These documents were published in the last three years by banking and financial sector supervisory authorities, central banks and supranational institutions, universities and consultancies.
Transformational CX requires wholistic conversational AI
  • Information Resources
This white paper, authored by Omdia in partnership with Interactions, takes an inside look at the current landscape of CX communications, maps out the challenges, and outlines the key elements of a winning plan.
Unlock enterprise document intelligence with AI
  • Information Resources
In this eBook, sponsored by AI-based software company EdgeVerve, we take a look at the following artificial intelligence technologies; Document Digitization,Computer Vision,Natural Language Processing and Intelligent Search, as applied to document management.
Becoming AI driven
  • Information Resources
Customer service centers serve as organizational information hubs, resonating with the voices of the customers. Properly utilized, they can satisfy customers and improve retention; they can also drive revenue by cross-selling and up-selling. To do this, they must manage the volume of interactions efficiently and control average handle time (AHT). Download this whitepaper to learn more.
Cognitive Search & Analytics to Optimize Customer Service
  • Information Resources
Customer service centers serve as organizational information hubs, resonating with the voices of the customers. Properly utilized, they can satisfy customers and improve retention; they can also drive revenue by cross-selling and up-selling. To do this, they must manage the volume of interactions efficiently and control average handle time (AHT). Download this whitepaper to learn more.
Gaining an edge with Operational Intelligence and AI
  • Information Resources

In this eBook, created in partnership between AI Business and innovative software vendor DRYiCE, we look at both emerging trends and specific use cases in deploying AI for business.

We discuss the broader components of a well-functioning digital enterprise, like data management and business flow monitoring, and pay special attention to the financial services sector, which is pioneering many of the more recent AI use cases.

This eBook covers:

  • Corporate buy-in for AI and DX projects
  • The importance of monitoring
  • The future of AI
  • The obstacles to implementation
  • The likely impact across different industries

The Commercialization of the UK Drone Industry
  • AI Exchange
The purpose of this Paper is to provide the UK Drone Industry’s coordinated guidance (represented by the 300+ strong Drone Delivery Group) to the Government’s Air Traffic Management and Unmanned Aircraft Bill.
Top considerations for deploying a production-ready AI/ML environment
  • Information Resources
In a digital world, data offers a competitive advantage. Even so, collecting data is only the starting point — how you use your data is the real differentiator. This report covers the steps required to successfully build a production-ready AI/ML environment process.
AI Barometer Report (UK)
  • AI Exchange
The AI Barometer provides a system-wide view of how AI and data are being used across the UK in five key sectors. It highlights where there are opportunities for greater use and where there are barriers to responsible adoption.
The AI Maturity Framework
  • AI Exchange
The AI Maturity Framework is designed to help leaders understand and prioritize the actions that will have the greatest impact on AI in their unique context.
Global Interconnection Index: Volume 3
  • AI Exchange
No investment in latency reduction tactics can deliver the impact that can be gained by removing the distance between data, applications, clouds, partners and users. As the world continues to digitize, interactions are happening at the edge— close to population centers, where the digital and physical worlds meet, and where businesses come together to exchange information and services.
Omdia: Artificial Intelligence (AI) for medical diagnostics
  • AI Exchange
Omdia researched more than 288 vendors and 363 machines to provide a taxonomy of the ecosystem supporting machine learning with diagnostic applications. Of the 363 machines researched, 28% have regulatory approval (FDA, CE, MFDS, CFDA).
Omdia: Key transformative technologies for 2020 and beyond
  • AI Exchange
What do artificial intelligence, the Internet of Things and autonomous vehicles all have in common? Besides all being transformative technologies that are reshaping the world, these innovations also share another trait: they are all enabled by processors— the necessary devices that serve as the semiconductor brains for billions of electronic systems around the world.
Business reporting in the fourth industrial revolution
  • AI Exchange
Developments in machine learning will transform reporting, oversight, auditing, and monitoring systems. That will improve accessibility, clarity, measurement, and quality, thereby facilitating comparability and enabling the liberation of data currently locked in siloed reports, formats, and platforms.
Accelerating change: From smart city to smart society
  • AI Exchange
The COVID-19 pandemic has revealed some of the shortcomings of major cities in times of crisis. As the world searches for ways to make urban areas more resilient, smart city initiatives offer some of the answers. Partners Oliver Brettle, Nicholas Greenacre, Tim Hickman, Andres Liivak, Daren Orzechowski and Adam Pierson of global law firm White & Case explain.
Artificial Intelligence (AI) for Medical Diagnostics
  • AI Exchange
Omdia researched more than 288 vendors and 363 machines to provide a taxonomy of the ecosystem supporting machine learning with diagnostic applications. Of the 363 machines researched, 28% have regulatory approval (FDA, CE, MFDS, CFDA).
Levelling the AI playing field through low-code applications
  • AI Exchange
As millions of individuals are left isolated amid the current COVID-19 outbreak, never has there been a greater pressure on customer service teams to respond quickly and seamlessly to enquiries on a broad range of issues. AI-enabled systems are increasingly seen as the knight in shining armor when it comes to optimising customer service in these situations, as well as in day-to-day interactions in normal conditions.
ReImagining Retail: Digital Commerce with Conversational AI
  • AI Exchange

The evolution of digital commerce puts increasing pressure on application leaders to keep pace. Not only does digital commerce represent the customer-facing part of many businesses, but it is a key driver of revenue. The range of vendors offering digital commerce platforms and ecosystem capabilities overwhelms many retail and commerce leaders.

Data Science and Machine Learning. With Java?
  • AI Exchange
In this white paper we outline:
  • Common Applications of Data Science
  • Definitions: Machine learning, deep learning, data engineering and data science
  • Why Java for data science workflows, for both production and research.
Smart Grid vs. Squirrel: The AI Challenge for Utilities
  • AI Exchange
How does nematode-level logic help utilities solve a squirrel-level problem? The C.Elegans worm is the first (and only) animal to have its intelligence replicated (by the OpenWorm project) and represents the pioneering level of AI today.
Implications for investing in a new microprocessor: essential checklist - The total cost of ownership for AI workloads
  • AI Exchange
As new innovative microprocessors are being brought into the market, one of the biggest drivers is artificial intelligence (AI), especially machine learning (ML) workloads, but other use cases exist as well, from processing traditional analytics applications on big data to high performance computing (HPC). When enterprises are evaluating whether to make use of a new chip, they are often making considerable investment decisions.
The AI Opportunity for Communications Service Providers
  • AI Exchange
Artificial intelligence (AI) is playing a central role in driving digital transformation and has the potential to enhance value across every aspect of a communications service provider (CSP)'s business. AI can take network optimization to new levels and make customer care more efficient and effective.
Key Transformative Technologies
  • AI Exchange
What do artificial intelligence (AI), the Internet of Things and autonomous vehicles all have in common? Besides all being transformative technologies that are reshaping the world, these innovations also share another trait: They are all enabled by processors— the necessary devices that serve as the semiconductor brains for billions of electronic systems around the world.
Why AI? How Language & AI Services Go Hand-In-Hand
  • Information Resources
For more than 20 years, Lionbridge has been growing a community of passionate experts around the world. Whatever the need—a lightning-speed translation, a QA check for a video game, a high-quality dataset labeled to train a chatbot—their tech-enabled community gets it done.
Insurers embrace digital transformation through automation
  • Information Resources
Low premium growth, evolving regulations, and increased competition from new Insurtech startups are just some of the insurance industry’s major challenges. To overcome them, insurers must achieve operational excellence by streamlining their processes.
Intelligent Automation in Life Sciences
  • Information Resources
An industry traditionally slow to adopt technology is now clamoring to become a digital frontrunner. Stakeholders in the life sciences industry are now asking what technology can do for their organizations and how they can automate processes to enable their staff to focus on strategic activities to improve business outcomes.
Pharma's Transformation through Automation
  • Information Resources
How your staff can be relieved from drudgery, augment their capacity, and unleash creativity with Robotic Process Automation (RPA) in life sciences
RPA - From Order to Cash
  • Information Resources
Intelligent bots improve cash flow, increase working capital and customer satisfaction
RPA - From Procure to Pay
  • Information Resources
Businesses leverage automation for back-office processes that have traditionally been manually performed. The spotlight has settled specifically on accounts payable and procure-to-pay. Inefficiencies and errors in accounts payable are responsible for some of the most formidable challenges your business faces today.
The Intelligent Digital Workplace
  • Information Resources
Today, employees spend around 10–20% of their time on mundane, repetitive tasks that can be easily automated. With Robotic Process Automation (RPA), businesses can offload these cumbersome tasks to their Digital Workforce, giving human workers more time for productivity and innovation.
DRYiCE iControl: Next Generation Business Flow Intelligence
  • Information Resources
Siloed business units and a myriad of compliance issues are inherent to the financial services industry. Adopting a comprehensive approach to monitoring business flow is the first step toward better business outcomes


Practitioner Portal - for AI practitioners

Story

InterDigital releases AI-based video compression codec tool

9/24/2020

Available on GitHub under Apache 2.0 license

Story

MLOps startup Verta gets $10m in funding, launches first product

9/1/2020

The company plans to commercialize open source ModelDB project, developed by CEO Manasi Vartak

Practitioner Portal

EBooks

More EBooks

Upcoming Webinars

More Webinars
AI Knowledge Hub

Experts in AI

Partner Perspectives

content from our sponsors

Research Reports

More Research Reports

Infographics

Smart Building AI

Infographics archive

Newsletter Sign Up


Sign Up