Spherical Analytics (SA) is working with the National Institute of Standards and Technology’s (NIST’s) National Cybersecurity Center of Excellence (NCCoE) in their Securing the Industrial Internet of Things (IIoT) project to develop practical, interoperable cybersecurity approaches that address real-world needs of distributed energy resource (DER) environments. By accelerating dissemination and use of these integrated tools and technologies for protecting IIoT in and among DERs, the NCCoE will enhance trust in U.S. information technology (IT) and operational technology (OT) communications, data, and storage systems; reduce risk for companies and individuals using IT/OT systems; and encourage development of innovative, job-creating cybersecurity products and services.
Context Labs and Spherical Analytics Chief Operating Officer, Mark McDivitt, was recently featured on a CoinDesk episode of Money Reimagined, entitled: “Crypto, Climate Change and the ESG Debate: Kevin O’Leary, Massamba Thioye, Martin Wainstein Tackle the Issues and More.”
Spherical Analytics’ Chief Business Officer, Chris Rezendes, will be participating in a panel on infrastructure entitled, “The Economic Payoffs of Infrastructure Investment” on Wednesday, May 12th at 11:00 AM ET.
The panel will address the debate over the cost of infrastructure investment in the context of the expected results and impact on the competitiveness of the economy. Chris will be joining moderator Hank Torbert from The Frontier along with panelists Yuri Estrada from Carlyle Group, Max Wolf from Systematic Ventures, and Chris Bonanti from RWV Consulting and former Chief of Staff of the US Railroad Administration.
Context Labs has recently been featured in a Gartner research piece entitled, “Truth in Supply Chain; 3 Case Studies on how Blockchain, AI & IoT are Shedding Light.” Avivah Litan, author and Distinguished VP Analyst at Gartner, highlights work that Spherical|Analytics developed with the Environmental Defense Fund (EDF).
In the first two parts of our series on data provenance, we set out to define some key terms related to data and trust. Part 1 focused on Asset Grade Data (AGD), an entirely new class of trusted data that is so pedigreed, provenanced, proofed, auditable, and immutable that it becomes beyond reproach and is elevated to the level of an asset itself. Part 2 extended those principles and applied them to the concept of Ground Truth: point of origin instrumentation data with the highest possible levels of persisted pedigree, provenance, and security.
This third and final part will evidence the way Context Labs (CXL) and Spherical | Analytics (S|A) have applied those principles of AGD and Ground Truth towards different projects and programs.
