AI - RPA and Leadership Talent: What’s new, What’s different

Talent acquisition, recruitment, and retention are becoming a daunting task
for most technology organizations today. There seems to be a struggle in
finding talents that address the company’s requirements and provide
necessary IT operations while maintaining quality, efficiency, and security.
Human resource executives are also challenged in extracting the most out of
existing talent which has specific IT skills, but still, lack the capability of
dealing with issues regarding various technology domains. This leads business
managers to take a look at technology innovation as a prevailing opportunity
to explore and empower frontline services.

Technology organizations aim to build new talent capabilities to be able to do
more with less, keep the systems runnings and protect critical information
assets. These can be achieved with exceptional technology talent. And while
there are many uses for traditional back-office functions, adopting AI and RPA
leadership talent can be equally beneficial in mission-critical areas of the
company.

Unleashing Workforce Potentials
Companies may be able to foster a broad-gauged talent on problem-solving
and innovations to exploit the growing demand for big data, multi-channel
customer experience, cloud computing, and enterprise mobility. But many
businesses are hard-pressed on developing and retaining talents for various
areas of the business.

Combining Artificial Intelligence (AI) and Robotic Process Automation (RPA)
offers unprecedented opportunities to empower technology organizations and
allow them to achieve more. Some of the prevailing benefits involving these
talents include consistency in execution, better quality and higher levels of
customized services at a lower cost.

What’s up with AI -RPA and Leadership Talent Combination?
When it comes to technology organization, automation of tasks such as the
use of RPA (Robotic Process Automation) and RDA (Robotic Desktop
Automation), Artificial Intelligence, cognitive assistance, and chatbots are
currently in effect. But most companies are still unaware of the potential
benefits for employing these technologies for their workforce.

Robotic Process Automation (RPA) describes the function or action that these
specialized applications or tools perform. RPAs are utilized to execute stable,
structured, repetitive rules-based tasks. It makes automation of business
processes possible at a certain scale. The use of such software allows people
to focus on higher-value activities requiring cognitive thinking, hands-on
experience, and personal empathy.

When Artificial Intelligence technology, RPA, and RDA are combined, a broad
spectrum of Intelligent automation is created. It can be leveraged to be
aligned with the company’s processes and challenges. Intelligent automation
ensures sustainable values and it empowers businesses to automate complex
business decisions that require cognitive judgment.

AI technologies are still new for most businesses. But by taking advantage of
such technologies like language processing and machine response processes,
intelligent automation can be geared towards a grander scale and brighter
insights to enterprise operations.

Present Day Intelligent Automation
As companies explore the potential benefits of having AI-RPA and leadership
talents in the workforce, technology organizations are pushing further into
tapping into proven expertise. From chatbots and digital co-workers to
cognitive process automation.

At present, there are various collaborations in technology spectrum such as
cloud platform providers Amazon Web Services (AWS), Microsoft Azure and
RPA providers like Blue Prizm and Automation Anywhere.
Implementing intelligent automation benefits both commercial enterprise and
government entities. These are used in multiple functions such as
procurement, finance, human resources, claims processing, supply chain, and
customer services.

Tech Challenges on AI - RPA
Integrating artificial intelligence into business process management is not an
easy process. For some companies, the road to intelligent automation should
be taken cautiously in sure and stable steps. AI processes are built or bought
through single-tasks bots such as vision recognition tools and language
processing systems. Then it is slowly integrated into processes that are using
traditional methods. For instance, engineers today develop scripts and
business analysts make automated workflows with process visualization tools.
These still contain actual human intelligence as a guide in the process and to
connect disparate systems. This creates a single coherent process and as it
changes, the business starts to evolve and it becomes easier to spot and fix
problems in the system.

However, some of the challenges in AI - RPA are more practical in nature and
focused within the business. For most companies, the lack of in-house talent
leaders to deal with these technologies is the prevailing challenge. Other
organizations are still struggling to define goals and objectives for deploying
intelligent automation as well as accountability for it.

Thus, many organizations are still unsure of why or what they should do with
AI and RPA, but they feel that they should have it. Over the next few years,
the industry can expect an increase in AI and RPA investments and as much
as half technology organizations are expected to use these innovations soon.