PRACTICE BRIEFS — AT A GLANCE
  1. ARTIFICIAL INTELLIGENCE
  2. SERVERLESS COMPUTING
    The legacy of purpose-driven infrastructure purchases destined for corporate datacenters now has a superior alternative: Stack-free and Server-less cloud microservices and programmable functions that can be snapped together using Event and Service Oriented Architectures to achieve the same results; but with better technical and business characteristics.
    Combining these ideas with containerized approaches, seasoned professionals with decades of datacenter experience deconstruct your operation to determine where refactoring I.T. functions or applications onto these modern alternatives, can achieve the advantages that you seek. Starting with an enterprise or line-of-business scoped assessment, we catalog opportunities for I.T. agility improvements. Each opportunity includes a recommendation on how it’s function or application can be re-platformed for optimal results. We then provide developer consulting to help re-platform services onto these cloud-based, agile alternatives.

    PRACTICE BRIEF (PDF)
  3. CYBER / INTERNET SECURITY
  4. DATA DRIVEN SERVICES
    Data is the lifeblood of every business and owners of this most precious asset have three responsibilities to it: managing, protecting and leveraging it.
    Managing and protecting data is generally a corporate-level responsibility (a.k.a. data compliance & governance), and includes: Storing data; Protecting it against loss, corruption or theft; Implementing roles-based access to it; Cloning it for Business Continuity / Disaster Recovery purposes; Wrapping Information Lifecycle Management practices around it (ILM); and so on. Spanning across these activities is the need to handle raw and aggregate data differently for traceability and recoverability purposes: Aggregate data should be versioned and tagged to reflect the raw data assets from which they are derived; and, in turn, those raw assets should be tagged as immutable so that derived data can always be reconstituted from them.
    Leveraging data, on the other hand, is line-of-business focused, and requires data wrangling, duplication and data-logistics in order to fulfill business intelligence and analytic needs. Use cases include: Realtime streaming and batch analytics; Deep learning; Complex Event Processing and Alerting (CEP); Distributed & Grid Computing; and more.
    Whether your needs lie in the Data Management realm or in the Data Analytics realm, we offer a suite of consulting services and decades-proven personnel to help:
    COMBINED DATA DRIVEN PRACTICE BRIEFS (PDF)