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AI-Based Banking Loan Software Will Become Norm In 2022

Smart Data Collective

However, the market for AI in banking is expected to grow over 30% a year and will be worth over $64 billion by 2030. It refers to underwriting, customer onboarding, document management, analysis, and statistics. In addition, traditional scoring implies extensive documentation, high-interest rates, increased decision-making times.

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Aiding Architecture & Engineering Firms with Data-Driven Learning

Smart Data Collective

More institutions are recognizing this, so the market for data analytics in education is projected to be worth over $57 billion by 2030. Data analytics is incredibly valuable for helping people. We have previously talked about the many ways that big data is disrupting education. Product Knowledge Training.

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Harnessing the Power of Freelance AI Software Developers

Smart Data Collective

These professionals are part of the reason the market for AI will be worth over $2 trillion by 2030. Understand the Legalities: From NDAs to intellectual property rights, ensure all legal aspects are clear and documented before work begins. Enter the freelance AI software developer.

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Empowering Sales to Provide the Best Customer Experience: Frucor Suntory’s SAP Innovation Journey

Timo Elliott

Here’s a quick summary of that document, exploring the challenges faced by Frucor Suntory, the solution implemented using SAP BTP, and the remarkable outcomes achieved. Company Overview: Frucor Suntory, headquartered in Auckland, New Zealand, is a renowned player in the food and beverage industry.

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Big Data Helps Drive the Future of Virtual Healthcare

Smart Data Collective

Global healthcare companies are projected to spend over $105 billion on big data by 2030. The future of telemedicine lies in this, and medical professionals must realize that to optimize patient advantages, they must move beyond merely presenting and documenting information. Big data technology is shaping the future of healthcare.

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Information extraction using natural language processing (NLP)

Astera

Information extraction is the process of extracting requisite structured data from semi-structured or unstructured text-based data sources, such as PDF documents, web content, AI/large language model (LLM) generated content, etc. billion in 2030. What is information extraction? billion in 2024 to USD 33.04

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The Essential Guide to ETL Developer Skills, Roles, and Responsibilities

Analysts Corner

Bureau of Labor Statistics, the employment of database administrators and architects, which includes ETL developers, is projected to grow 10% from 2020 to 2030, faster than the average for all occupations. Oracle, SQL Server, MySQL) Experience with ETL tools and technologies (e.g., According to the U.S.