The days of 'the cloud is just someone else's computer' are long gone. A host of cheap and efficient cloud services are available that can shortcut work and drive efficiencies for businesses of every size. From monitoring camera feeds for license plates to automatically check in patients, to keeping track of employee scheduling and notifying them via text messages; there are solutions for everyone.
Sometimes you just don't know what you need until you see it. We have borne witness to the full spectrum of analytic solutions, from the downright nonsensical to the irreplaceable - and can help you through what is right (and valuable!) for your company.
Designing and implementing even a single POC for IIoT is challenging; scaling, securing, and sustaining a solution across a fleet is an absolute nightmare. It doesn't help when you have to enter a Thunderdome match against a VP who won't let go of their precious archaic historian software. We've been there, and we have the answers - from resistors to registers and coils to MQTT brokers to closed loop algorithms operating potentiometers.
Relational. Unstructured. Time series. Columnar. Graph. SQL. NoSQL. OLAP. OLTP. Society can't even agree on what 'types' of databases there are. Fortunately we've integrated and deployed almost every conceivable combination of data storage, transformation pipeline, and egress strategy out there; and can quickly point you to what works best for you.
Inconvenient truth: you don't actually need machine learning. However, if your C-suite has promised The Street that you're using Artificial Intelligence; have no fear- we know how to dig you out of that hole. Any expert you bring in is just going to modify a random forest algorithm [potentially with boosting], charge you a ton of money, and call it a day, so let's just cut out the middleman.
The one thing that is universally neglected in industry is the logistics of data. What is the labor and process involved with providing that report to the VP that they love so much? What happens when key personnel involved in the process leave, or underlying data structures shift? DataOps can help alleviate those pressure points and ensure your analytic solutions are developed less stressfully and delivered on time.