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How does nematode-level logic help utilities solve a squirrel-level problem? The C.Elegans worm is the first (and only) animal to have its intelligence replicated (by the OpenWorm project) and represents the pioneering level of AI today.
Navigating the complex AI landscape requires foresight of the vertical markets that will soar in a space where global software revenues alone will be $126 billion by 2025.
As new innovative microprocessors are being brought into the market, one of the biggest drivers is artificial intelligence (AI), especially machine learning (ML) workloads, but other use cases exist as well, from processing traditional analytics applications on big data to high performance computing (HPC). When enterprises are evaluating whether to make use of a new chip, they are often making considerable investment decisions.
While government and industry have been working on getting to a paperless environment for at least four decades, and have accomplished the goal for many internal processes, when it comes to moving information among organizations, some form of paper or image presentation is still the norm.
Artificial intelligence (AI) is playing a central role in driving digital transformation and has the potential to enhance value across every aspect of a communications service provider (CSP)'s business. AI can take network optimization to new levels and make customer care more efficient and effective.
What do artificial intelligence (AI), the Internet of Things and autonomous vehicles all have in common? Besides all being transformative technologies that are reshaping the world, these innovations also share another trait: They are all enabled by processors— the necessary devices that serve as the semiconductor brains for billions of electronic systems around the world.
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.
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.
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.
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.
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.
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