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Category: Whitepaper

Revolutionizing Testing with AI: Download the Quality Engineering Workbook

Unlock the Future of Software Testing with AI AI holds immense potential to transform software testing, accelerating product releases and enhancing quality. While its applications are still growing, AI is poised to revolutionize testing processes in the years to come. Staying ahead of AI-driven trends is crucial for maintaining a competitive edge in the software industry. To fully leverage AI, organizations must tackle challenges like data quality, complex model development, and ethical considerations. By adopting effective methodologies, businesses can harness AI to optimize testing, drive efficiency, and achieve long-term success. Download the workbook to discover how Tavant is empowering businesses to revolutionize software testing with AI.

Tavant Touchless® HELOC: Revolutionizing Home Equity Lending Through Automation

Heloc brochure

Tavant’s Touchless Lending® HELOC is revolutionizing the way home equity lines of credit are processed. By eliminating manual processes and creating a truly seamless experience, lenders can significantly reduce operational costs, improve borrower satisfaction, and increase profitability. As the mortgage market evolves, automation is no longer a luxury—it’s a necessity. With Tavant’s Touchless Lending® platform, lenders have the tools to stay competitive and deliver on the promise of speed, accuracy, and exceptional customer experience.

Embracing the Service Life Cycle Management Opportunity and the Challenges It Presents

More digital technology in more machines, increased capacity to transmit data, expanded data storage and faster data processing in the cloud, and the emergence of sophisticated artificial intelligence (AI) and machine learning (ML) have invigorated manufacturers’ interest and activity in service life cycle management (SLM). The ability to access and analyze so much information has presented the manufacturing ecosystem with an interesting opportunity to alter its business model to focus as much or more on servicing equipment after it is sold as on actual production. Service life cycle management is historically more profitable and enables producers to cultivate the long-term relationships that customers prefer over one-time purchases.

The 3-D Approach to Digital Advertising

This paper outlines a 3-D approach to tackling and winning the game of advertising. It provides a strategy for succeeding in the competitive advertising market through the use of – Data, Decision, and Design.

Enabling a Rich Experience for Media Consumers

major trends in the digital media space, and highlight the features and advantages of Adobe CQ, a WCM solution that can help organizations ride to success on these new digital waves.

Testing of Gaming Applications

This is an overview of various approaches/techniques that can be adopted for testing gaming applications, especially those developed in C++.

Agile
Methodology

Implementing the Best Scaled Agile Framework for Faster and Better Business Results.

10 Steps to Simplify Software Test Automation Process

Automated tests can be performed frequently and rapidly. They are beneficial for projects with longer maintenance lives. In testing, the ability to react with ease to an evolving or changing system, and requirements, is extremely important.

Tavant FinConnect

Finconnect Brochure

An enterprise service bus for the Financial Services industry and an intelligent lending data and services network that integrates with over 130 ecosystem partners

Viewership Analytics Decoded

Explore how Tavant’s client used analytics to aggregate and decode omnichannel data, content consumption patterns, and used it for new content production and advertising

Thumb Rules of Data Migration

This whitepaper lists the thumb rules of data migration. The success of the migration will entirely depend upon how well you follow these thumb rules.

Bias in AI systems: Is it me or the data?

A man is scrolling on his tablet screen.

Artificial Intelligence is paving the way to uncover a new reality that once existed only in our imagination. To get the best out of AI, one must be aware of the various biases that exist. Bias can occur in the data used in AI algorithms; it can also happen in the design or implementation of the algorithms themselves or both. Key takeaways from the white paper: Classification of biases that exist in AI systems and the impact of each on decision making Cognitive patterns that may affect how we select and manage data, and how it can corrupt the complex algorithms that analyze the data Ways and guidelines to mitigate bias to improve the ROI of AI systems