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 Chief Technology Officer, Gavin Nicol, was recently featured in the podcast Command_Line Heroes: A Language for the Web, Season 7, Episode 3. The episode focused on HTML and its evolution. HTML gave everyone a foundation for building and viewing the World Wide Web, shaping the internet. In 1995, its standardization led to dominance, while its simplicity helped it spread and grow.
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.
In Part 1 of our series on data provenance, we explored the alternative data marketplace, defined its critical differences from traditional data sources, and discussed what it means to transform those streams into Asset Grade Data (AGD). As a reminder, AGD is data that is so pedigreed, provenanced, proofed, auditable, and immutable that it becomes beyond reproach. Any investor is comfortable trusting the insights derived from AGD to make significant financial, operational, or capital expenses based on it. A rigorous security approach and the right tools elevate that data to the level of an asset itself. Those derived insights, in turn, become Asset Grade Analytics (AGA). With billions of dollars in investment funds dedicated to sourcing these data streams, it is necessary to ensure they become assets.
In Part 2, we will explore the concept of Ground Truth, the origin of those sources of data, and how to best use that data to derive the most granular insights possible. The Immutably™ for Asset Grade Data platform and the team at Context Labs (CXL) and Spherical | Analytics (S|A) can capture this data, transform it into AGD, and feed those trusted sources into your models and analytics.
