10 Predictions For Robotic Process Automation, Intelligent Automation & AI In 2019

10 Predictions For Robotic Process Automation, Intelligent Automation & AI In 2019

1. 2019: The Year Of The Digital Workforce

Robotic Process Automation (RPA) alone can't deliver an entirely proficient digital work: while it may provide the uptake of data related and manual tasks it’ll not fully cut humans out of this picture. Employees still have to orchestrate processes (frequently helping on the way too) and action the next procedures, eventually meaning that their period is still being consumed with all the same tasks (albeit marginally less).

With the mix of AI, IA and RPA, nevertheless, we'll be speaking about a true digital workforce -- not just "bots". By arming RPA with a cognitive edge, companies are going to soon be able to harness individual capacities - such as listening, reading and even talking (well," conversing")- within their applications not only making existing procedures more intuitive but also broadening the assortment of procedures that are ripe for automation.

2. AI Will Drive RPA Adoption And Vice Versa

The symbiosis of AI and RPA will become increasingly evident as we move into 2019. AI allows for RPA to be applied to more intricate automation also to stretch use-cases further, whilst RPA provides AI a tangible devote the modern workforce as well as future.

Within this contemporary workplace, r-pa products will continue to focus on structured data and AI & IA will be utilized to read, interpreted and make the structure from unstructured data and documents. NLP (conversation and understanding), intelligent data capture as well as different AI tools may need this info, develop into structured data and it'll soon be used to encourage improved decision-making within an organization. Thus, AI will drive again in the types of use cases that RPA can complete: AI initiated; RPA executed.

RPA will also account for a number of the historical pitfalls of AI business cases. Oftentimes, RPA may possibly be the secret to removing human participation into AI tasks allowing companies to unleash its full value: without even having the ability to integrate "sexy" unstructured data set or predictive analysis into your business processes without having to pass into a individual, how can you make a significant business case for AI?

As organizations start to understand that the small business case for AI may be permitted by RPA executions, we will have more AI projects in 2019.

3. Mergers, Acquisitions, and Growth

Large software vendors (i.e. IBM, Oracle, Google, Microsoft) will purchase small RPA vendors

Just like the SAP acquisition of Context, I believe we'll see a tendency of large software organizations buying some of the smaller players at the market (It will have to be the bigger players, given the valuations of their larger players). Given these valuations, I think we will even find a variety of players develop their own capacities to help the lower total cost of ownership of their traditional portfolio.

Larger RPA Vendor Acquire Smaller Vendor

Considering that the valuation of these huge RPA vendors, I think that they can use these to leverage an inventory of smaller RPA vendors -- either to take out competition and consumer features and components they do not possess. We will also find some AI vendors purchased to supplement their own offering to the market. These Massive RPA vendors are of adequate scale now to make these buys and it will also help safeguard themselves out of the big boys (mentioned previously )

4. Chatbots

Yes we have heard it before --"2017 - the year of this chatbot" and then "2018 the year of this chatbot", well actually I think that chatbots are gonna rule this year.

*if it is plugged into a virtual worker... (don't tell me you didn't see that coming).

Chatbots are currently delivering a fantastic frontend experience, but they have not consistently been incorporated into the rear end properly. Utilizing a digital worker that is fully incorporated into the chatbot (by the manner chatbot will consist of voice as well as chata chatll permit a richer user experience and considerably lower the cost to service a client.

5. RQ- Robotic Quotient

This expression can be part of their lexicon for you in 2019. RQ (a word coined by Forrester) is a nethe way of measuring organizational readiness for automation and AI. RQ measures the ability of organizations and individuals to learn from, adjust to, collaborate, confidence, and also generate business outcomes from automatic entities, including software such as RPA, AI, physiological robotics, and associated systems.

High IQ, EQ & RQ = an effective organisation…

6. Folks Enablement/Augmentation

2019 is going to be a year of doubt over the tasks market and the economy -- Brexit (yes, I said it) being the greatest unknown variable, especially in the UK. Given we have been also at historical highs for employment in many of western Europe, the sensible organizations will be looking at how they really cannot only keep staff, however, they are able to have more value out of these.

Organizations will need to take a holistic view of how they can deliver against their tactical objectives and induce value. This implies they will need to take into account not just their human workforce, but the potential of utilizing a digital workforce to achieve value:

Short-term value

  • Remove manual, repetitive jobs
  • Increase productivity

Medium-term value

  • Enhance customer expertise
  • Increase providers and therefore earnings
  • Reduce danger and empower compliance

Long term

Disrupt ingrained company units and create brand new products and new ways of functioning

Training may also become big attention. Even as we move from PoC/PoV's or small-scale implementations; organizations will demand more people to accomplish automation"stuff". We will see an explosion in roles within automation - build, test, implement (through coordinated change direction ) manage and maintain roles (a lot of job titles to include). Companies may also begin to market their automation programs from recruiting efforts to bring in talent.

7. Regulatory Compliance Will Drive The Need For Invention

In 2019 we'll have more invention pushed with the necessity to become more compliant. 1 case is in the area of making regulation system readable and executable -- i.e. issuing law in code rather than words after which banks reacting in code instead of words too. Digital workers are likely to make it simpler to conduct, manage and report on compliance requirements.

8. The Digital Workforce Will Explode Into The Public Business In 2019

The goal for public sector bodies couldn't become more defined: to deliver more (and better) services for their citizens, while minimizing resource expenditure. Back in 2018, we saw that the NHS and regional Councils start to check it now and this we have some rather successful implementations of digital workers in both sectors, this will give others the confidence to research the way the digital workforce may help them.

9. RPA costs will continue to decrease for pure RPA vendors

Contest (especially if the huge software vendors incorporate RPA into their portfolios), commoditization and various licensing models (ingestion, per second, SaaS etc) will push costs to pure r-pa vendors. This is the reason they need to add value to their portfolio's.

10. IoT & 5G Roll-out

Just like the prior point "AI will drive RPA", the capacity to collect extra information (more IoT devices with sharing an increased amount of data via 5G bandwidth) will induce the number of tasks that can be carried out (notably on legacy systems). Organizations will have the ability to make more decisions based on the pools of data they can collect and execute these quicker and much more effectively using a digital workforce.

So that you have it! My little overview of this season ahead.

Please feel free to reach me out at info@cisin.com, if you're interested in learning more about the way AI and RPA can benefit your company this year or if you have some points or questions on the topics.