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Last year, we held our first Accelerate event, to explore industry trends, data and technology innovations, and data strategy case studies in financial services. This year, we are expanding to five industry events, featuring leaders in financial services; retail and consumer goods; manufacturing; media, advertising and entertainment; and healthcare and life sciences. Accelerate Financial Services and Accelerate Retail are one-day virtual events brought to you by Microsoft.

It’s no surprise that ever since ChatGPT’s broader predictive capabilities were made available to the public in November 2022, the sprawl of stakeholder capitalization on large language models (LLMs) has permeated nearly every sector of modern industry, accompanied or exacerbated by collective fascination. Financial services is no exception. But what might this transformation look like, from practical applications to potential risks?

For the banking and financial services industry, artificial intelligence (AI) isn't just a new tech trend. It's a powerful tool that will have a wide range of impacts, from risk management to operational efficiency and customer experience. According to Deloitte, the world’s top 14 investment banks could potentially boost their front-office productivity by 27% to 35% by leveraging generative AI.

For business and IT leaders, digital transformation in the financial services industry continues to pose a challenge but is necessary to keep pace with changing regulatory requirements, consumer demand, and budget constraints. It's also important to prevent operational areas from growing their expenses unintentionally. In the typical boom and bust cycle, banks can feel pressure to roll out new financial products, services, and business lines.

As an industry built on data, financial services has always been an early adopter of AI technologies. In a recent industry survey, 46% of respondents said AI has improved customer experience, 35% said it has created operational efficiencies, and 20% said it has reduced total cost of ownership. Now, generative AI (gen AI) has supercharged its importance and organizations have begun heavily investing in this technology.

So you’re still processing invoices manually, huh? That's no way to live. If you’ve come here in search of a better way, you won’t be disappointed. Maybe you’ve heard terms like OCR and IDP thrown around and are looking for a little more information to help you get started. I’ll answer questions like What is OCR invoice processing? How is IDP different from OCR? And is one always better? Let’s get into it.

In the intricate world of finance, numbers are more than mere figures; they are the threads that weave the tapestry of a company’s story. Financial statements, though essential, often hide critical narratives within their numerical maze. Extracting meaningful insights requires expertise and contextual understanding. Even the financially astute can overlook vital details buried in these reports.

Next year, finance teams utilizing SAP will face unparalleled pressure due to a confluence of economic challenges. The demand for actionable insights will grow amidst a landscape marred by economic recession and escalating inflation rates. These adversities heighten the necessity for finance professionals to adeptly translate raw data into strategic guidance.

insightsoftware is thrilled to be recognized as a Niche Player in Gartner’s 2023 Magic Quadrant (MQ) for Financial Planning Software. It is an honor to be recognized for the first time in this highly competitive space. Earning a place in this MQ is a testament to our commitment to delivering the best budgeting and planning solutions for our customers.

Follow this formula to streamline financial statements and automate data for accurate financial analysis.