Insight
AI Tech Series: RPA

>>AI Tech Series: RPA

RPA delivers efficiency, flexibility, and accelerates AI innovation

Ai brainAI is everywhere. The majority of commonplace technology we use every day already has AI embedded.

If, suddenly, the “intelligence” was taken away, we’d be extremely disappointed consumers. I look at my phone and it unlocks. I start to type a phrase into a search engine and it figures out what I want. (Except on those rare and proud occasions when I have to type an entire phrase into an Internet search. Then I know that I’m into some really obscure geek territory.)

Current infrastructure illustrates this example well. Cloud services commoditize computing and storage; high-bandwidth mobile is becoming ubiquitous; IoT is rapidly multiplying the sources of meaningful data. The stage is set. The directive is clear.

If you’re developing or enhancing technology and you’re NOT incorporating AI, you should really be asking questions about how your product or service will continue to be relevant as customers expect their technology to be more engaging every day.

84% of 3,138 respondents to Gartner’s 2018 CIO Survey have already deployed AI technologies or are currently gathering intelligence, investigating technologies or developing their AI strategy.

As you may have read in our earlier Point of View, Robotic Process Automation is an exciting technology that SDLC Partners is using to help clients focus their resources on higher-value outcomes as opposed to mundane, transactional work. Just like we consumers want our gadgets to more effectively serve us over time, our clients want their automation solutions to be more effective, efficient, and reliable. AI is central to that strategy.

Some RPA solutions benefit by integrating intelligent systems more than others do, but nearly all real-world RPA applications depend on tactical checkpoints to control quality and/or process some form of unstructured data. These elements are hallmark opportunities to reap the benefits of intelligence.

Traditional automation solutions don’t handle unstructured data well because its programmers aren’t equipped to deal with varying data formats, let alone react to new, meaningful data points and trends. When a human encounters a novel scenario, we expect him or her to depend on experience to proceed or ask for help. In either case, we expect the human to deal with such scenarios more seamlessly and with increasing effectiveness and efficiency over time.

Why shouldn’t we expect the same from the automated versions of those processes? We should.

Skeptics write off AI as a luxury or a toy that hasn’t really proven its importance in industry practices. That’s an unfortunate and potentially costly perspective. In fact, 84 percent of 3,138 respondents to Gartner’s 2018 CIO Survey have already deployed AI technologies or are currently gathering intelligence, investigating technologies or developing their AI strategy.

AI, when incrementally and thoughtfully deployed, can create a snowball effect delivering more and more valuable output from human capital. Pairing AI up with RPA exemplifies this outcome. The less time we spend fiddling with low-value, transactional work, the more time we have to focus on the quality and efficiency of the high-value work we do.

AI is not frivolity—it’s necessity.

How is your organization exploring the potential benefits of adding “intelligence” to your systems? We suggest the following three concepts for taking those first steps:

Start small. Seek the lowest-value, most time-consuming tasks as automation candidates. This can be a perfect opportunity for RPA technologies.

Once you have reached partial automation of those level of tasks, you can shore up execution reliability and quality by incrementally training intelligent components.

As training and success builds, your digital workforce will have more time to automate even more processes and actualize more time and energy towards innovation and new, value-add initiatives.

If you’ve started investigating AI technologies to accelerate your organization’s goals, congratulations. SDLC Partners is helping organizations like yours create a clear roadmap for choosing the right AI technologies, like RPA, that can streamline backend operations, improving business efficiency, creating smoother processes, and respond to market changes.

Contact Paul Taylor, Director, Office of CIO services, to discuss your organization’s entrée into AI technologies like RPA – 412.251.0848 or info@sdlcpartners.com.

Matt Creegan

Point of View Contributor

Matt Creegan, Senior Manager

Matt Creegan is a veteran technology development manager, with focuses in the Life Sciences and Healthcare Information Technology areas.  Matt brings extensive experience in process improvement, change management, enterprise architecture, as well as modern software engineering technologies.

Prior to joining SDLC, Matt was leader in the R&D organization at eResearchTechnology (ERT).  He led delivery teams developing core products and internal tools, and provided thought leadership and execution leadership for global transformation initiatives.  In prior tenures, Matt led multiple full-lifecycle product development, integration and delivery efforts, from prototype through commercial success.  These innovative products targeted early adopters in Healthcare, specifically in perioperative services.

Matt holds a Bachelor of Science degree in Computer Science from the University of Pittsburgh.

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