AI for Managers is a 16-month long programme comprising 11 online modular courses stacked together based on the order of their sequence in a learning curve. It aims to make the knowledge of Artificial Intelligence and its components such as Statistical Learning, Machine Learning, and Deep Learning accessible to a large number of interested candidates from fresh graduates to senior managers who aspire to become competent Decision Makers. Understand foundations of data science on which the AI models are built. Understand and apply machine learning algorithms such as supervised learning, unsupervised learning, and reinforcement learning algorithms to solve problems across various functional areas of management. Apply AI techniques to solve problems in various sectors such as Aerospace, Banking financial services and insurance (BFSI), E-commerce, Manufacturing, Retail, Sports and Services.
Over the past couple of years, the Covid-19 pandemic followed by the intrusion of its variants has has a devastating impact on the global economy. Employment across many industries was under great threat. However, one thing that the catastrophe left unscathed was artificial intelligence. Artificial intelligence came into existence when humans thought of making machines that imitate human behavior. The core aspect of creating AI was to make technology recreate human insights in a better and advanced way.
Europe was the fastest growing region for machine learning hiring among tech industry companies in the three months ending October. The number of roles in Europe made up 9.4% of total machine learning jobs – up from 7.7% in the same quarter last year. That was followed by Middle East & Africa, which saw a -0.2 year-on-year percentage point change in machine learning roles. The figures are compiled by GlobalData, who track the number of new job postings from key companies in various sectors over time. Using textual analysis, these job advertisements are then classified thematically.
Artificial intelligence had an eventful decade so far. With 2021 bringing more into play, technology has stronghold its place in every ecosystem. Especially, business organizations are enhancing their AI capabilities to streamline routine processes. Starting from attending to customer queries to powering autonomous vehicles, the influence of artificial intelligence is no joke. Besides, critical fields like healthcare, education, and space are adopting AI to sophisticate their existing features and bring in innovation.
It's important to remember that these images aren't created from scratch. They're built from "training sets" of images that human researchers feed into the AI to help it learn and recognise patterns. If you're not familiar with how such AI apps work, this old article from 2015 does a pretty good job of explaining this. I suspect that while the process has become more sophisticated over the years, the basic principle of recursively feeding images back into neural nets until the AI "gets it" hasn't changed. Therefore, human biases do exist in the patterns chosen and images generated, which turns these images into AI interpretations of human biases.
Honeywell's global businesses have a strong legacy in India, built over the last eight decades. It delivers industry-specific solutions like aerospace products and services, control technologies for buildings and performance materials. Currently, it employs close to 13,000 people across different locations, including Bengaluru, Chennai, Gurugram, Dehradun, Hyderabad, Madurai, and Pune. At the centre of everything that Honeywell does, lies its data science team, which adds value by transforming products and services. They work on a wide array of key functional areas, including product development, advanced image, speech and audio recognition, text and video analytics, regression analytics and face detection.
Artificial intelligence is increasingly becoming the core of our everyday. Everything starting from the way we travel to places to applying for jobs or communicating with clients is powered by technology. While artificial intelligence is broadly used to address the general developments in digitization, machine learning plays a massive role in it. Recently, the dominance of machine learning has invaded every space that artificial intelligence prevails. It has completely changed the way businesses operate.
Today, in the COVID-19 World, working from home has become an accepted corporate culture, giving rise to security challenges across industries. Enterprises are waking up to the importance of cybersecurity, with rising demand for cybersecurity services among businesses. With such a massive need for cybersecurity, many startups are working towards bringing artificial intelligence into the field and securing companies with their endpoint security. Sequretek is one such company that is known among the circles to use unconventional ways to detect security breaches and using AI to spot an attack from miles away and stop it before it can cause any real damage. Started in 2013 by Pankit Desai and Anand Naik, Sequretek is built on the foundation of'simplifying security' -- less complexity and driving down the cost of ownership.
According to AIMResearch, Indian AI startups raised $836.3 million in 2020, the largest funding outlay in the last seven years at a 9.7% year-on-year growth. The same year, Indian government increased the outlay for Digital India to $477 million to boost AI, IoT, big data, cybersecurity, machine learning and robotics. In the 2019 Union Budget, Finance Minister Nirmala Sitharaman said the government would offer industry-relevant skill training for 10 million youth in India in technologies like AI, Big Data and robotics. To wit, India's AI ecosystem is seeing explosive growth with a lot of inventive startups entering the space. Analytics India Magazine comes with a list of 10 exceptional startups leading the AI race every year.
In 2021, the average annual salary for a'machine learning engineer' in India is INR 8 lakh ($10,757), as per Glassdoor. But according to PayScale, the median salary of an ML engineer stands at INR 6.8 lakh per year($9,382). Artificial intelligence and machine learning jobs are projected to grow 40% over the next six years. LinkedIn has 1,982 job listings for candidates with TensorFlow expertise, 1,176 open positions for candidates with PyTorch knowledge. At the time of writing, LinkedIn had 15,542 jobs in India and 171,549 open positions worldwide with machine learning as a required skill.