THE BIG AUTOMATION WAVE OF 2021
What is Automation? Is AIML the same?
- Automation is the process of creating software and systems to replace repeatable processes and reduce manual intervention
- Automation is directly proportional to Simplicity
- When an algorithm has the capability of making decision backed by “Reasoning“ is called Artificial Intelligence
- It gives the machine ability to mimic human-like behaviour and interact with its surrounding with the help of embedded AI algorithms
- Automating and improving the learning process of computers based on their experiences (from the previous dataset ) without explicitly being programmed - is Machine Learning
Why the change?
- An increase in overall data and data diversity will drive organisations toward new compute and storage technologies
- The pace of automation is accelerating, with more organisations creating fully automated value chains
- CIOs and other technology leadership positions and evolving into customer experience and operations positions
- Automations used in new ways post-COVID- Contactless and touches mechanisms of consumer and employee interaction will therefore gain more adoption in 2021. This trend extends the application of automation technologies to the areas requiring human-to-human contact which can refine the overall customer experience.
- A big push to reduce complexity - the big push into cloud-native and Kubernetes: “CI/CD platforms are becoming more agnostic on what they ate deploying and favouring how they are deploying”.
Why Automation..?
- Reduce Burden on IT - does not disturb underlying legacy systems.
- Reliability - Bots can work 24*7 effectively.
- Cost Cutting Technology - Reduces the size of the manual workforce and hence reduce costs.
- No Coding Required - Programming skills are not necessary.
- Accurate - Less prone to errors and functions with accuracy and uniformity.
- Productivity Rate - Execution time much faster than manual process approach.
- Compliance - Follows rules to provide audit free trial.
- Consistent - Repetitive tasks are performed in the same manner each time.
The top 10 digital transformation trends for 2021
- 5G - Will Finally Go Mainstream - For Real This Time!
- CDP - Explosion
- HYBRID CLOUD - Declared the Winning Enterprise Architecture.
- CYBER - Cybersecurity Gets a Jolt.
- PRIVACY - and Confidential Computing Gains Momentum.
- HEADLESS - Tech Disrupts Industries, Reshapes Commerce.
- WFH - From Home Outlasts COVID-19
- AI - Democratised at Scale.
- DEVICE - From Factors Become Interesting Again.
- QUANTUM - Quantum Moves to Mainstream.
Intense Automation or HIA
- HIA - Hyper Intelligent Automation
- Enterprises displayed an obsessive focus toward adopting Automation for business resiliency during the pandemic, and they will continue to do so in the next year to future-proof their businesses. As per a recent survey, almost 50% of enterprises indicate that they intend to increase their spend on automation/RPA in 2021.
- “Hyper-automation is rapidly shifting from an option to contain survival. Robotic process automation (RPA), low-code, artifice intelligence (AI) and many other hyper-automation technologies have proved to be mush- have ingredients for architecting and addressing critical business demand.”
- “Despite the crises, investments in hyper-automation technologies (I.e, RPA, low-code tools and AI) have continued unabated. In September 2020, Gartner conducted or start new AI investments in the six to nine months.”
- The HIA approach allows you to expand automation beyond RPA- eligible processes by using complementary technologies such as AI, Business Process Management (BMP), process mining, and many more tools.
HOLISTIC AUTOMATION
- Robotic Process Automation ( RPA )
- Business Process Management Systems (BMPS)
- Artificial Inteligence(AI)
- Other advanced automation tools and analytics
2025 ERA..!!
- By year-end 2025, over half of the world’s population will be subject to at least one internet of behaviours (IoB) PROGRAM (private, commercial or governmental).
- By 2025, 40% of physical experience-based businesses will improve financial results and outperform other organisations’ customer experience metrics by 20%.
- By 2023, 40% of all enterprises workloads will be deployed in cloud infrastructure and platform services, up from 20%in 2020.
- Through 2024, enhancements in analytics and automatic remediation capabilities will GeForce 30%of IT operations efforts, from support to continuous engineering.
- By 2023, 40% of product and platform teams will use AIOps for automated change risk analysis in DevOps pipelines, reducing unplanned downtime by 20%.
- Gartner expects over 75% of large enterprises in mature economics will use container management by 2024 due to the growing adoption of cloud-native applications and infrastructure.
- By 2025, 50% of enterprises will have devised artificial intelligence orchestration platforms to operationalise AI, up from fewer than 10% in 2020.
Your Survival Skills
- CI/CD pipelines, Kubernetes, Python: DevSecOps
- Moreover, you can focus on DevSecOps - adding Cyber Security to your skillset
- Having conceptual knowledge of AI, Natural language processing (NLP), Deep neural networks (DNN) - technical knowledge is always an add-on
- Cybersecurity is evergreen - once you automate, you need to ensure it is SECURE.
- Short term courses on Cyber and AIML are quick boosters to get started in these domains.
Curated resources for you
- More than 14 causes by UpGrad in Data Science and Machine Learning from various IITs.
- Executive PG, Master of Science in AIML, Advanced certificates in ML and a lot more.
- Multiple webinars and workshops.
- Awesome ML for Cyber Security Repositories on GitHub.
- Check out public groups like IDLI - Indian Deep Learning. The initiative, OWASP (Open Web Application Security Project).