Bharti Airtel Ltd and Amazon Web Services (AWS) will join forces to develop the Indian telecoms firm's cloud business, allowing it to offer a wider range of products to its enterprise clients, the two companies said on Wednesday. Airtel Cloud currently provides data centre and cloud services to companies and governments via different partnerships. "AWS with the depth and breadth of our platform, and Airtel with its deep reach and expertise and focus, I think together we can build a set of really differentiated cloud products and go serve customers at scale in India," Puneet Chandok, President, India and South Asia at Amazon Internet Services told a virtual news conference. New products could include data analytics, artificial intelligence and machine learning, and security services among others, the two companies said.
At a time like this, the banking sector is trying its hand, leg and even head to give a head-start to the AI developments. The financial services industry is appealing to enter AI market to avail the luxury of accurate data and investment. The development assists banks with better customer service, fraud detection, reduction of managing cost and easy decision-making through AI analysis. Customers have expectations that can't be turned down. Expectations to get work done faster and with zero error. The only by-standing solution is the utilisation of AI in the everyday banking sector.
As summer slowly winds to a close and the first day of remote learning remains weeks away (for many of us, anyway), it's easy--way too easy--to let the kids go nuts on their iPads while the grown-ups toil at home. Luckily, Google Assistant has a new feature to help keep young ones from disappearing into their bean bags. Slated to roll out starting today in the U.S., Canada, U.K., Australia, and India, the new Family Bell feature lets you create bells that sound on your Google smart speakers and displays, just like the bells at school. For example, you can day "Hey Google, create a Family Bell" to set reminder bells for breakfast, the start of a virtual camp day, recess in the backyard, or dinner time. You can ask Google Assistant to set a Family Bell on recurring days of the week, and in specific rooms.
The coronavirus pandemic has emerged as a major threat globally. While the number of cases are mounting gradually, the pandemic cannot be controlled by governments alone. The transmission can only be reduced with the complete cooperation of people. Physical distancing, frequent hand washing, and wearing face masks have proved to be effective to control the transmission of the virus, but not everyone is following rules. In this scenario, technological solutions that allow for contactless functioning are gaining prominence.
Analytics India Magazine (AIM) along with Jigsaw Academy, has developed this study to focus on the impact on jobs across certain emerging technologies. Jigsaw Academy, with over 400 years of combined teaching experience, including online and remote learning delivery, is adept at training and upskilling professionals and freshers in key capabilities in emerging technologies like business analytics, data science, artificial intelligence, deep learning, cybersecurity, full stack development, and cloud computing, to name but a few. The broad Information Technology domain experienced significant growth and consolidation in 2019-2020. At the beginning of this year, various studies conducted by Analytics India Magazine indicated that the IT domain in general, and the specific domains of Artificial Intelligence, Deep Learning, Data Analytics, Machine Learning, and Cyber Security domains, to name a few, were experiencing significant growth in terms of revenues, investments, and salaries. Despite the lockdown and recessionary trends, specific domains and technologies across the IT space continue to develop at a steady space. The Covid pandemic has unfortunately affected the broader global and Indian economies – economic activity across the globe has slowed down after a strict lockdown in activity across all major economies. One of the other impacts of the disruption, due to the unfortunate recession and pandemic, is that there has been a shift of jobs and roles to Tier 2 and Tier 3 cities. Before the lockdown, a small percentage of job roles ( 3-4%) were advertised for the Tier 2 and Tier 3 cities – locations outside the IT, Technology, and BPO hubs. There has now been a significant shift to an average of about 8% of the jobs advertised in tier 2 and Tier 3 cities. This highlights that jobs are now increasingly becoming location independent and now advertised across several locations, including small cities and large towns.
Applications of artificial intelligence are relentlessly growing, touching every aspect of business operations and society. Today, AI has become integral to diverse industries and revolutionized the way organizations perform and make decisions. As business leaders and innovators race to reach the promise of this disruptive technology to gain a competitive edge, job opportunities in AI are in high demand. This growing need of AI experts from businesses will significantly disrupt economic activity in a big way. As AI has a high learning curve, succeeding in this field requires germane skills and knowledge, and investment of time and energy.
These days everyone needs their machines to talk, and the only way by which a computer can communicate is through Natural Language Processing (NLP). Take the case of Alexa, a conversational item by Amazon. An inquiry is passed to it by the mode of voice, and it can answer by a similar medium, i.e., voice. The market situation of NLP is quite promising. The buzz of NLP in the market is increasing in an aggressive way which is expected to reach the mark of $ 16 billion by 2021 with the compound growth rate of 16 % yearly.
Throughout the rest of my high school, I learned about game development, advanced data structures and algorithms, but not much about AI. The only exposure I had to Machine Learning was this website here, which didn't make a whole lot of sense to me back then. Fast forward, I returned to India and was attending Eastern Public School, finishing up my 12th grade with an International Baccalaureate diploma. I started the Stanford University Machine Learning course taught by Dr. Andrew Ng, http://ml-class.org/. The best part is it does not use any high level libraries to teach the concepts to you, so you have to use MATLAB to answer all the programming assignments.
Machine learning is a vast field. Thanks to the internet, there are plenty of resources available to get your hands on it -- from books to blogs to vlogs. Analytics India Magazine has been compiling learning resources for the ML community for quite some time now. In this article, we list down top machine learning books for those who want to get practical with algorithms. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples.
In Bangalore, India, 10th grader Rahul Jaikrishna developed Cyber Detective – an artificial intelligence-based model that detects cyber bullying with an accuracy of up to 80%. Fourteen-year-old Jaikrishna was inspired after learning that "confession pages" created by school students – online diaries on social media where young people post confessions and secrets – often make teens easy targets for bullying. Jaikrisha didn't learn AI programming in his everyday 10th grade syllabus. He picked it up via the Intel AI for Youth program, which launched in 2019 in three countries and was offered at his school. This year, AI for Youth will scale to nine countries.