AI in Automation changing the world

Automation Intelligence (AI) is the perfect combination of Artificial Intelligence and Automation. Robotic Process Automation (RPA) and artificial intelligence (AI) technologies both together empower rapid end-to-end business process automation and accelerate digital transformation.

To extend the horizons of business process automation by an order of magnitude, Intelligent Automation combines the task execution of RPA with the machine learning, analysis capabilities of automatic process discovery, process analytics as well as cognitive technologies, like computer vision, Natural Language Processing, and fuzzy logic.

Automation Intelligence spans the entire automation journey—discovery, automation, optimization—automating any front- or back-office business process, and orchestrating work across combined human-bot teams. Automation is becoming a top priority in many markets, especially as the remote workforce grows and workforce shortages displace traditional models of work in favor of more sustainable solutions.

Artificial intelligence (AI) development is one of the leading forces in the automation drive, with expectations that AI will lead to a $15.7 trillion, or 26%, increase in global GDP by 2030, according to PwC’s “Global Artificial Intelligence Study.” As AI automation continues to enable new products and workplace solutions, many people have understandably grown concerned about their job security as AI takes over more daily tasks. But Artificial Intelligence-enabled automation actually removing low level and security threat jobs. AI enhances the skills and capacity of employees.


AI + Automation enabling Technologies

AI is increasingly finding its way into homes but even more so in businesses, where automated insights and operations speed up processes and decrease the chances of user error.

Here are some of the top business priorities that are being automated through AI:

Customer service: Through chatbots, virtual assistants, and curated search recommendations, customers can guide their buying decisions autonomously and on their own time.

Smart factories and assembly line automation: Manufacturing has always been a dangerous and time-consuming industry when human workers act as the primary engine. AI-based automation has entered into many factories and assembly lines, enabling a new class of machine-built and -packaged products as well as self-healing equipment on the assembly line.

AIOps and MLOps: Many businesses have leaned onto AI and machine learning (ML) for operations automation, using AI to enhance projects like security monitoring and audits.

Data mining and analytics: AI is being programmed to handle data entry and basic data analytics and reporting, leaving employees with more time to focus on tasks that require specialized skill.


AI Replacing Obsolete Career Roles

A growing number of people fear that their jobs will be replaced by robots, and while that doesn’t look too likely in the near future, some types of roles will at least decrease in number as AI takes over their tasks.

The following jobs are expected to decrease in demand by 2025, especially because AI and other automated technologies are replacing the primary tasks of these roles, according to the World Economic Forum’s “Future of Jobs Report”:

1. Data entry clerks

2. Administrative and executive secretaries

3. Accounting, bookkeeping, and payroll clerks

4. Accountants and auditors

5. Assembly and factory workers

6. Business services and administration managers

7. Client information and customer service workers

8. General and operations managers

9. Mechanics and machinery repairers

10.Material-recording and stock-keeping clerks


AI Supplementing To Human Work

It’s important to note that while AI can, for instance, handle some of the basic data entry and management tasks traditionally completed by secretaries and clerks, AI tools cannot succeed unless they are appropriately programmed, trained, and maintained over time.

That’s why, as AI tools continue to enter into more business use cases, roles that manage these tools and support them strategically will continue to grow. These jobs will grow quickly in the next several years, according to “The Future of Jobs Report”:

1. Data scientists and analysts

2. AI and machine learning specialists

3. Big data specialists

4. Digital marketing and strategy specialists

5. Process automation specialists

6. Business development professionals

7. Digital transformation specialists

8. Information security (IS) analysts

9. Software developers

10.Internet of Things (IoT) specialists


Conclusions

AI and automation are constantly changing our world, including the way we work. Take, for example, NASA’s 1962 spaceflight. Back then, Katherine Johnson – the central figure in the book and movie “Hidden Figures” – famously checked the math of NASA’s computer manually to put a spaceflight into orbit for the first time. Within just a few short years, though, that reliance on human intelligence has shifted to calculators and computers.


Today, the progression of automation seems almost scary due to the rapidly increasing sophistication of AI. The Forbes AI index shows that the volume of annual venture capital investment in AI is six times greater now than in the year 2000. These giant steps in AI capabilities may appear to uproot our assumptions about how work gets done but are really just a continuum of advancement.