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What does machine learning analysis tell us about the future of finance?

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12/10/2020

This new Automation Exchange survey report uncovers the motivations, challenges and progress of companies investing in network and data system automation.

AI 360: hold, fold, or double down? Insights on winning with AI in business

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11/16/2020

Leading companies use AI to deliver exceptional experiences by predicting and responding to the needs of employees and customers. But how?

The AI 360 report explores insights from 500 senior executives, and 4,000 consumers and workers. Key findings include:

Improved customer experience is the top AI business benefit
If you can prove your business is AI bias free, consumers are more likely to buy from you
Workers think AI presents career opportunities, but they want reskilling and most companies aren’t meeting demand

To use these and other insights to make your AI initiatives a success, download the full report.

Overseeing AI: Governing artificial intelligence in banking

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9/21/2020

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

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9/14/2020

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

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9/14/2020

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

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9/14/2020

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

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9/14/2020

Gaining an edge with Operational Intelligence and AI

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9/14/2020

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

Anti-Money Laundering Solutions with Open Source Technologies

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7/22/2020

An Executive’s Guide to Real World AI

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7/22/2020

Top considerations for deploying a production-ready AI/ML environment

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7/13/2020

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.

Test drive Jupyter Notebooks on Red Hat OpenShift Kubernetes Platform

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7/13/2020

Fraud Detection Using Open Data Hub on Red Hat Openshift

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7/13/2020

Why AI? How Language & AI Services Go Hand-In-Hand

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4/20/2020

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

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4/17/2020

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

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4/17/2020

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

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4/17/2020

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

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4/17/2020

Intelligent bots improve cash flow, increase working capital and customer satisfaction

RPA - From Procure to Pay

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4/17/2020

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

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4/17/2020

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

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2/28/2020

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