Redundancy in the software and information domain used to mostly be about the system’s fault tolerance. Fast forward to present day, however, and the increasing availability and affordability of cloud computing has changed many design paradigms and has led to the proliferation of software systems running on cloud providers’ “everything-as-a-service” platforms. The former can no longer be vertically-architected and centrally-managed.
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Advancing into the future sometimes means diving into the past. When ATB sought to find ways to extract information from a deluge of analog data hidden in decades’ worth of historical paperwork, we taught machines to read - shrinking down years of work into a matter of hours. In this whitepaper, Rhys Chouinard and Tyler Dauphinee of the ATB AI Guild breakdown the process we undertook to develop and test Optical Character Recognition.
Advancements in robotic process automation are enabling companies to quickly introduce improvements to outdated, complex, or error-ridden processes. But it’s not as simple as setting a bot loose and seeing massive returns in time and money saved.
At ATB, we hold the belief that AI may be the biggest and most disruptive technology advancement we see in our lifetimes. The power and reach of machine learning is rapidly expanding into many areas of ATB, and into our everyday lives. The long-term sustainability of any enterprise is predicated on trust and for any data-driven organization, the respectful and ethical treatment of data is core to building reliable AI solutions. Furthermore, an organization-wide governance process needs to be established, to ensure the AI solutions work as intended and the right controls for risks are in place. That starts with our AI Governance.
At ATB, we are working with leading edge technology with the goal of serving our customers better. Artificial intelligence is one such technology that we’re working with to achieve this goal. AI holds significant promise for the future, but hand-in-hand with the opportunities AI brings are potential uncertainties, and for some, discomfort.