Artificial Intelligence in the financial sector: 13 key challenges of the future

whitePaper | November 10, 2019

Large enterprises need to implement AI solutions quickly and efficiently, but many don’t have the right people, process and technology. Firms can accelerate progress to AI maturity through use of a robust workbench, an operating model built on a data science-led pyramid of skills, and pre-built solutions when data complexity and talent scarcity are too big a challenge.

whitePaper | April 16, 2020

To your credit, you’ve done a little research and picked up a drawing tool here, an inspections tool, a bidding tool, and a financials tool. You’ve embraced the future or The Present, as it’s now called and are keeping abreast of ever-changing best practices.

whitePaper | December 22, 2022

Machine learning, one of the key building blocks of AI, has been a part of the technological world since the 1950s, when the earliest programmers asked computers to make sense of large sets of data. Programmers have increasingly refined the ability of machines to study data in order to detect patterns that allow computers to then organise information, identify relationships, make predictions and detect anomalies. Today, modern applications of AI have already given us self-driving cars and virtual assistants and have helped us detect fraud and manage resources like electricity more efficiently. Sectors as diverse as retail, sports, banking, manufacturing and healthcare have all found applications for machine learning and AI.

whitePaper | September 22, 2022

Last year, the UK Department of Digital, Culture, Media and Sport (DCMS) published its 10- year National AI Strategy for the regulation and promotion of artificial intelligence (AI) in the UK (Report). DCMS seeks to build “the most pro-innovation regulatory environment in the world” and vows to make the UK the “best place to live and work with AI” over the next decade. Since then, the UK government and regulators have taken various steps towards this aim, with the Report anticipating a large number of AI-centric publications and consultations. Some key examples (and their latest status) are summarised below, including a policy paper and white paper on a pro-innovation national position on governing and regulating AI, an Information Commissioner’s Office (ICO) consultation on the beta version of its AI and data protection risk toolkit, and a consultation on copyright and patents for AI through the UK Intellectual Property Office (IPO).

whitePaper | November 30, 2019

The report on “Understanding the Dynamics of Artificial Intelligence in Intellectual Property” prepared by the Tata Consultancy Services in close association with the Confederation of Indian Industry (CII) captures global developments, practices of various intellectual property offices of the world, technology landscape and research outlook. This publication on IPR would provide useful information to educational & research institutions and industries doing research in this area and fill up gaps for moving forward. CII firmly believes that IPR should be at the centre stage in competing in the world of artificial intelligence in a meaningful manner. The report highlights an important recommendation that, “With evolution of new technology, it is essential to have change in the IP creation and protection ecosystem by mechanisms to develop new doctrines for new technologies, modifying the existing system to accommodate this new change and reshaping of new policies for enforcement of IPRs”.

whitePaper | April 16, 2020

Front Line Consulting (FLC) is a government consulting firm—and majority veteran-ownedand-operated Project Manager-as-Agent. Presently, FLC is managing a group of 60 publicly-funded projects for Travis County, home of the unequalled Austin, Texas. Front Line’s responsibilities include meeting a tight “substantial completion” deadline defined in public forum, coming in on (taxpayer-funded) budget, and keeping elected officials apprised of financials and material progress in projects within their respective jurisdictions.