ARC Advisory Group
Canvas Category Consultancy : Company : Strategy
In today’s fast paced and competitive environment, you need an expert on your side, someone that will assist you with strategic decisions, guide you with industry best practices and latest technology solutions. That is the ARC Advisory Group purpose. ARC will make you more competitive through our advisory services, technology evaluation and selection services, our research reports, analyst consultation, and our vision. Regardless of your measure - Operational Performance, Return on Assets, Cost of Ownership, Time to Benefit, or Shareholder Value - ARC will deliver and you will be more competitive. Founded in 1986, ARC Advisory Group is the leading technology research and advisory firm for industry, infrastructure, and cities. ARC stands apart due to our in-depth coverage of both operational technologies (OT) and engineering technologies (ET) and associated business trends. Our analysts and consultants have the industry knowledge and the first-hand experience to help our clients find the best answers to the complex business issues facing organizations today. We provide our technology supplier clients with strategic market research, and help our end user clients develop appropriate adoption strategies and select the best technology solutions for their needs.
Assembly Line
Industrial-grade AI: Transforming Data into Insights and Outcomes
Data fabrics can simplify the AI and Analytics lifecycle for enterprises by weaving together a unified layer for data management and integration across some of the endpoints within an industrial environment. However, existing enterprise data fabrics may not be “industrial grade” enough for many Industrial AI use cases. They often require a “big bang” approach of migrating and standardizing data in cloud-based data lakes and may not handle the complex data types encountered on the industrial edge—data that is often unstructured, time-sensitive, and critical for real-time decision making in industrial AI use cases.
Breakthroughs in Gen AI have expanded the Industrial AI toolset - especially for use cases that address the sector’s skills gaps by enhancing knowledge retention and transfer and augmenting the workforce with “Assistants” and “Copilots” - and promise to have a sweeping impact on the way users across every industry interact with complex technology. Although perceived itself as an expensive AI solution, the wave of investments triggered by Gen AI is driving innovation and lowering costs across the broader AI landscape, offering new opportunities for scale deployment of tried and tested AI modeling techniques trained on each organization’s own industrial datasets.
Rise of the Industrial Data Scientist
The industrial data scientist is a unique combination of domain knowledge with an understanding of applying AI aspects and identifying opportunities and problem solving. Equipped with the best AI tools which have been democratized, the industrial data scientist is not dependent on other organizations to analyze data and determine outcomes. The self-sufficiency that an industrial data scientist brings to the table helps address innovation and solve problems with greater agility and scalability. The essence of an industrial data scientist is domain expertise, combined with a robust toolchain or set of packaged programming tools to solve challenging industrial problems, such as predicting future conditions or events using industrial data and AI.