10 Best Artificial Intelligence books for beginners in 2022

April 29, 2022

Artificial Intelligence (AI) is becoming increasingly popular around the world. Its wide range of uses and applications may be found in practically every industry on earth. Process automation, fraud detection, prediction-based analysis, and improving client experiences are just a few of their services.

Artificial Intelligence will be the hottest and most in-demand field in 2022; most engineers and Gen Z people want to work in AI, Data Science, and Data Analytics. The greatest method to start is to go through the best and most dependable resources. Reading good books is one of the best ways of self-learning for beginners.

Here we've compiled a list of the top 10 artificial intelligence books that can help you clear your basics and develop a good understanding of the use of AI. 

1.) You Look Like a Thing and I Love You: How Artificial Intelligence works and why it’s making the world a weirder place. 

Author: Janelle Shane

Janelle Shane, a scientist, and an AI engineer is a frequent contributor to the New York Times, Slate, and The New Yorker on computer science.

Why should you read this book?

Artificial intelligence (AI) is all over the place. It enables your iPhone's autocorrect feature, assists Google Translate in comprehending the complexities of language, and analyzes your activity to determine which of your friends' Facebook postings you want to see the most. It will do medical diagnoses and drive your automobile in the next few years, and it may even assist our novelists in writing the first lines of their works. But how does it function in practice?

The book illustrates how AI perceives our world and what it gets wrong through her humorous experiments, real-life examples, and informative cartoons. It helps readers develop the skills to be skeptical of claims of a wiser future, and not just a working knowledge of AI. 

YOU LOOK LIKE A THING AND I LOVE YOU is an approachable, funny investigation of the future of technology and civilization. It is a comprehensive study of the cutting-edge technologies that will soon power our planet. 

Price: ₹ 1544.00 on amazon

2.) The Algorithmic Leader

Author: Mike Walsh

Mike Walsh is the founder and CEO of Tomorrow, a global consulting firm specializing in business design for the twenty-first century. He counsels business leaders on how to flourish in the face of rapid technological change. Mike travels approximately 300 days a year across the world, researching trends, collecting case studies, and giving presentations on the future of business. The Algorithmic Leader and The Dictionary of Dangerous Ideas are just a few of Mike's books.

Why should you read this book?

We live in a time of wonder, with self-driving cars, electronics that meet our needs, and robots capable of advanced manufacturing and complex surgery. Every aspect of daily life will be transformed by automation, algorithms, and artificial intelligence (AI), but are we ready for what this implies for the future of work, leadership, and creativity? While many people fear that robots will take their jobs, tremendous advances in machine intelligence raise a far more crucial question: what is human intellect's true potential in the twenty-first century?

The Algorithmic Leader is a hopeful and practical guide to survive and prosper in this unprecedented era of change. Readers will be able to build their journey of personal transformation, harness the power of algorithms, and map a clear way ahead for their organization, their team, and themselves by using Walsh's 10 basic concepts.

Price: ₹ 1569.00 on amazon

3.) Human + Machine

Author: Paul Daugherty & H. James Wilson

Paul Daugherty leads Accenture's Technology Innovation & Ecosystem group and he is the company's chief technology and innovation officer. He also serves on the Global Management Committee of Accenture.

H. James Wilson is Accenture Research's Managing Director of Information Technology and Business Research.

Why should you read this book?

Human + Machine was written to assist executives, workers, students, and others in navigating the changes that AI is bringing to business and the economy. They believe AI will lead to breakthroughs that will significantly change the way the world works and lives. AI, on the other hand, will cause upheaval, and many people will require education, training, and assistance to prepare for the new jobs that will be generated. The authors are contributing the revenues from the sale of this book to sponsor education and retraining programs aimed at acquiring fusion skills for the age of artificial intelligence to help meet this requirement.

The book explains how firms are leveraging the new laws of AI to leap ahead in innovation and profitability, as well as what you can do to achieve comparable results, based on the author’s experience and study with 1,500 enterprises. It outlines six whole new types of hybrid human-machine positions that every firm should create, as well as a "leader's handbook" that outlines the five key principles needed to become an AI-powered organization.

Price: ₹ 909.00 on amazon

4.) Human Compatible

Author: Stuart Russell

Stuart Russell is a professor of computer science at the University of California, where he also runs the Center for Human Compatible Artificial Intelligence and holds the Smith-Zadeh Chair in Engineering.

Why should you read this book?

Superhuman artificial intelligence, in the public imagination, is a looming tidal wave that threatens not only jobs and human relationships but civilization itself. Human-machine conflict is considered unavoidable, with an all-too-predictable result. Stuart Russell, a renowned AI researcher, argues in this ground-breaking book that this nightmare can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the topic of intelligence in humans and machines. He highlights the near-term benefits we might expect, which include intelligent personal assistants and much higher processing speeds to fasten scientific research, as well as the AI breakthroughs that must occur before we achieve superhuman AI.

Price: ₹ 1144.00 on amazon

5.) Super Intelligence

Author: Nick Bostrom 

Nick Bostrom is a polymath and philosopher from Sweden who has studied theoretical physics, computational neuroscience, logic, and artificial intelligence. He is the founding director of the Future of Humanity Institute and a professor at Oxford University.

Why should you read this book?

Human brains have abilities that other animals' brains lack. These unique abilities are responsible for our species' dominance. Other animals may have more powerful muscles or sharper claws, but we have more intelligent minds. If machine brains eventually outperform human brains in general intelligence, this new superintelligence could be extremely powerful.

Learn about oracles, genies, and singletons; boxing methods, tripwires, and mind crime; humanity's cosmic endowment and differential technological development; indirect normativity, instrumental convergence, whole brain emulation, and technology couplings; biological cognitive enhancement and artificial intelligence; dystopian evolution and Malthusian economics; and collective intelligence as you read the book.

Price: ₹ 460.00 on amazon

6.) The Master Algorithm

Author: Pedro Domingos

Pedro Domingos is a well-known AI expert. He's a computer science professor at the University of Washington in Seattle. He has received the SIGKDD Innovation Award and the IJCAI John McCarthy Award, two of the greatest awards in data science and AI.

Why should you read this book?

For a non-technical or non-expert reader, The Master Algorithm provides a wonderful story and summary of machine learning and AI. The reader will gain a thorough understanding of the various types of algorithmic approaches to data and computer-based learning and intelligence, as well as the benefits and drawbacks of each algorithmic technique. It also aids in the development of ideas and concepts related to what is required for computers to demonstrate human-like intelligence, which is far more difficult than most people assume.

Price: ₹599.00 on amazon

7.) Robot Rules: Regulating Artificial Intelligence  

Author: Jacob Turner

Jacob Turner is a lawyer as well as a published author. He is on the Conflict Analytics Lab advisory board, a research-based consortium focused on artificial intelligence and data analytics in conflict resolution and negotiation.

Why should you read this book?

By no means a technical book, but one that deserves to be on the list. Who is responsible if a computer algorithm causes harm? Is it possible for an AI or a robot to have legal protection and rights? How can we tell what's right and incorrect in terms of ethical decision-making? These are only a few of the issues that the field of AI is dealing with, and this book will help you think about the future of technology.

This book outlines why AI is different, what legal and ethical issues it may pose, and how to deal with them. It claims that AI is unlike any other technology because of its ability to make decisions on its own and in an unpredictable manner. According to the book, to address these issues, we need to create new cross-industry and international institutions and rules.

Robot Rules will appeal to those interested in law, politics, and philosophy, as well as those interested in computer programming, neuroscience, and engineering.

Price: ₹2630.00 on amazon

8.) Life 3.0: Being Human in the Age of Artificial Intelligence

Author: Max Tegmark 

Max Tegmark is an MIT professor who enjoys pondering life's fundamental problems. He has written two books and over 200 technical papers on subjects ranging from cosmology to artificial intelligence. For his unconventional views and love of adventure, he is known as "Mad Max." He's also the president and founder of the Future of Life Institute, which works to ensure that we not only develop technology, but also the wisdom needed to put it to good use.

Why should you read this book?

How can we increase our prosperity through automation without robbing people of their livelihood or sense of purpose? What career guidance can we give today's youth? How can we make future AI systems more durable so that they can achieve our goals without crashing, failing, or being hacked? Should we be concerned about a fatal arms race between autonomous weapons? Will machines one day outsmart us in every endeavor, removing humans from the workforce and possibly putting them out of business? Will AI make life better than it has ever been, or will it empower humans beyond our capacity? - and there’s nobody better situated or qualified to answer these questions than Max Tegmark. 

Price: ₹2500.00 on amazon

9.) Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World

Author: Cade Metz

Cade Metz is a New York Times reporter who focuses on artificial intelligence, self-driving cars, robots, virtual reality, and other emerging technologies. He was previously a senior staff writer for Wired magazine and the US editor for The Register, one of the UK's most popular science and technology news sites.

Why should you read this book?

This brightly, colored page-turner places artificial intelligence in a human context. Metz describes this breakthrough technology and makes the hunt interesting via the lives of Geoff Hinton and other significant characters. 

What exactly does it mean to be intelligent? What does it mean to be human? What do we truly desire from life and the intelligence we possess or may develop? This book takes you inside the rooms where these issues are being answered with in-depth and exclusive reporting based on hundreds of interviews. Where our most powerful companies, our social discourse, and our daily lives have all been infiltrated by an extremely powerful new artificial intelligence.

Price: ₹ 1756.00 on amazon

10.) Basics of Artificial Intelligence & Machine Learning

Author: Dr. Dheeraj Mehrotra 

Dheeraj Mehrotra is a 2005 National Awardee, a Certified NLP Business Diploma holder, an Educational Innovator, and Author with expertise in Six Sigma in Education, Academic Audits, and Neuro-Linguistic Programming (NLP)

Why should you read this book?

With the advancement of technology, the concepts of Artificial Intelligence (AI) and Machine Learning (ML) have been in use for many years. It has gradually merged our lives through practically every narration of learning, teaching, entertainment, ordinary activities, and so on. 

This book provides a common grasp of the themes about the impact of AI and ML on our lives, as well as deepens our awareness of how technology affects our lives in particular. The author helps the readers to look towards science as a way to make a difference in their lives. To raise awareness about making technology more accessible to people in general. And those in charge must be informed about the use and misuse of the same.

Price: ₹350.00 on amazon

Conclusion

The AI industry is continuing to grow and expand, with the potential to impact every area of our lives and these books are your first step if you want to establish a foothold in the field of artificial intelligence and learn everything you need to know to get started quickly.

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June 29, 2022

Project Management for AI-ML-DL Projects

Managing a project properly is one of the factors behind its completion and subsequent success. The same can be said for any artificial intelligence (AI)/machine learning (ML)/deep learning (DL) project. Moreover, efficient management in this segment holds even more prominence as it requires continuous testing before delivering the final product.

An efficient project manager will ensure that there is ample time from the concept to the final product so that a client’s requirements are met without any delays and issues.

How is Project Management Done For AI, ML or DL Projects?

As already established, efficient project management is of great importance in AI/ML/DL projects. So, if you are planning to move into this field as a professional, here are some tips –

  • Identifying the problem-

The first step toward managing an AI project is the identification of the problem. What are we trying to solve or what outcome do we desire? AI is a means to receive the outcome that we desire. Multiple solutions are chosen on which AI solutions are built.

  • Testing whether the solution matches the problem-

After the problem has been identified, then testing the solution is done. We try to find out whether we have chosen the right solution for the problem. At this stage, we can ideally understand how to begin with an artificial intelligence or machine learning or deep learning project. We also need to understand whether customers will pay for this solution to the problem.

AI and ML engineers test this problem-solution fit through various techniques such as the traditional lean approach or the product design sprint. These techniques help us by analysing the solution within the deadline easily.

  • Preparing the data and managing it-

If you have a stable customer base for your AI, ML or DL solutions, then begin the project by collecting data and managing it. We begin by segregating the available data into unstructured and structured forms. It is easy to do the division of data in small and medium companies. It is because the amount of data is less. However, other players who own big businesses have large amounts of data to work on. Data engineers use all the tools and techniques to organise and clean up the data.

  • Choosing the algorithm for the problem-

To keep the blog simple, we will try not to mention the technical side of AI algorithms in the content here. There are different types of algorithms which depend on the type of machine learning technique we employ. If it is the supervised learning model, then the classification helps us in labelling the project and the regression helps us predict the quantity. A data engineer can choose from any of the popular algorithms like the Naïve Bayes classification or the random forest algorithm. If the unsupervised learning model is used, then clustering algorithms are used.

  • Training the algorithm-

For training algorithms, one needs to use various AI techniques, which are done through software developed by programmers. While most of the job is done in Python, nowadays, JavaScript, Java, C++ and Julia are also used. So, a developmental team is set up at this stage. These developers make a minimum threshold that is able to generate the necessary statistics to train the algorithm.  

  • Deployment of the project-

After the project is completed, then we come to its deployment. It can either be deployed on a local server or the Cloud. So, data engineers see if the local GPU or the Cloud GPU are in order. And, then they deploy the code along with the required dashboard to view the analytics.

Final Words-

To sum it up, this is a generic overview of how a project management system should work for AI/ML/DL projects. However, a point to keep in mind here is that this is not a universal process. The particulars will alter according to a specific project. 

Reference Links:

https://www.datacamp.com/blog/how-to-manage-ai-projects-effectively

https://appinventiv.com/blog/ai-project-management/#:~:text=There%20are%20six%20steps%20that,product%20on%20the%20right%20platform.

https://www.datascience-pm.com/manage-ai-projects/

https://community.pmi.org/blog-post/70065/how-can-i-manage-complex-ai-projects-#_=_

This is a decorative image for Top 7 AI & ML start-ups in Telecom Industry in India
June 29, 2022

Top 7 AI & ML start-ups in Telecom Industry in India

With the multiple technological advancements witnessed by India as a country in the last few years, deep learning, machine learning and artificial intelligence have come across as futuristic technologies that will lead to the improved management of data hungry workloads.

 

The availability of artificial intelligence and machine learning in almost all industries today, including the telecom industry in India, has helped change the way of operational management for many existing businesses and startups that are the exclusive service providers in India.

 

In addition to that, the awareness and popularity of cloud GPU servers or other GPU cloud computing mediums have encouraged AI and ML startups in the telecom industry in India to take up their efficiency a notch higher by combining these technologies with cloud computing GPU. Let us look into the 7 AI and ML startups in the telecom industry in India 2022 below.

 

Top AI and ML Startups in Telecom Industry 

With 5G being the top priority for the majority of companies in the telecom industry in India, the importance of providing network affordability for everyone around the country has become the sole mission. Technologies like artificial intelligence and machine learning are the key digital transformation techniques that can change the way networks rotates in the country. The top startups include the following:

Wiom

Founded in 2021, Wiom is a telecom startup using various technologies like deep learning and artificial intelligence to create a blockchain-based working model for internet delivery. It is an affordable scalable model that might incorporate GPU cloud servers in the future when data flow increases. 

TechVantage

As one of the companies that are strongly driven by data and unique state-of-the-art solutions for revenue generation and cost optimization, TechVantage is a startup in the telecom industry that betters the user experiences for leading telecom heroes with improved media generation and reach, using GPU cloud online

Manthan

As one of the strongest performers is the customer analytics solutions, Manthan is a supporting startup in India in the telecom industry. It is an almost business assistant that can help with leveraging deep analytics for improved efficiency. For denser database management, NVIDIA A100 80 GB is one of their top choices. 

NetraDyne

Just as NVIDIA is known as a top GPU cloud provider, NetraDyne can be named as a telecom startup, even if not directly. It aims to use artificial intelligence and machine learning to increase road safety which is also a key concern for the telecom providers, for their field team. It assists with fleet management. 

KeyPoint Tech

This AI- and ML-driven startup is all set to combine various technologies to provide improved technology solutions for all devices and platforms. At present, they do not use any available cloud GPU servers but expect to experiment with GPU cloud computing in the future when data inflow increases.

 

Helpshift

Actively known to resolve customer communication, it is also considered to be a startup in the telecom industry as it facilitates better communication among customers for increased engagement and satisfaction. 

Facilio

An AI startup in Chennai, Facilio is a facility operation and maintenance solution that aims to improve the machine efficiency needed for network tower management, buildings, machines, etc.

 

In conclusion, the telecom industry in India is actively looking to improve the services provided to customers to ensure maximum customer satisfaction. From top-class networking solutions to better management of increasing databases using GPU cloud or other GPU online services to manage data hungry workloads efficiently, AI and MI-enabled solutions have taken the telecom industry by storm. Moreover, with the introduction of artificial intelligence and machine learning in this industry, the scope of innovation and improvement is higher than ever before.

 

 

References

https://www.inventiva.co.in/trends/telecom-startup-funding-inr-30-crore/

https://www.mygreatlearning.com/blog/top-ai-startups-in-india/

This is a decorative image for Top 7 AI Startups in Education Industry
June 29, 2022

Top 7 AI Startups in Education Industry

The evolution of the global education system is an interesting thing to watch. The way this whole sector has transformed in the past decade can make a great case study on how modern technology like artificial intelligence (AI) makes a tangible difference in human life. 

In this evolution, edtech startups have played a pivotal role. And, in this write-up, you will get a chance to learn about some of them. So, read on to explore more.

Top AI Startups in the Education Industry-

Following is a list of education startups that are making a difference in the way this sector is transforming –

  1. Miko

Miko started its operations in 2015 in Mumbai, Maharashtra. Miko has made a companion for children. This companion is a bot which is powered by AI technology. The bot is able to perform an array of functions like talking, responding, educating, providing entertainment, and also understanding a child’s requirements. Additionally, the bot can answer what the child asks. It can also carry out a guided discussion for clarifying any topic to the child. Miko bots are integrated with a companion app which allows parents to control them through their Android and iOS devices. 

  1. iNurture

iNurture was founded in 2005 in Bengaluru, Karnataka. It provides universities assistance with job-oriented UG and PG courses. It offers courses in IT, innovation, marketing leadership, business analytics, financial services, design and new media, and design. One of its popular products is KRACKiN. It is an AI-powered platform which engages students and provides employment with career guidance. 

  1. Verzeo

Verzeo started its operations in 2018 in Bengaluru, Karnataka. It is a platform based on AI and ML. It provides academic programmes involving multi-disciplinary learning that can later culminate in getting an internship. These programmes are in subjects like artificial intelligence, machine learning, digital marketing and robotics.

  1. EnglishEdge 

EnglishEdge was founded in Noida in 2012. EnglishEdge provides courses driven by AI for getting skilled in English. There are several programmes to polish your English skills through courses provided online like professional edge, conversation edge, grammar edge and professional edge. There is also a portable lab for schools using smart classes for teaching the language. 

  1. CollPoll

CollPoll was founded in 2013 in Bengaluru, Karnataka. The platform is mobile- and web-based. CollPoll helps in managing educational institutions. It helps in the management of admission, curriculum, timetable, placement, fees and other features. College or university administrators, faculty and students can share opinions, ideas and information on a central server from their Android and iOS phones.

  1. Thinkster

Thinkster was founded in 2010 in Bengaluru, Karnataka. Thinkster is a program for learning mathematics and it is based on AI. The program is specifically focused on teaching mathematics to K-12 students. Students get a personalised experience as classes are conducted in a one-on-one session with the tutors of mathematics. Teachers can give scores for daily worksheets along with personalised comments for the improvement of students. The platform uses AI to analyse students’ performance. You can access the app through Android and iOS devices.

  1. ByteLearn 

ByteLearn was founded in Noida in 2020. ByteLean is an assistant driven by artificial intelligence which helps mathematics teachers and other coaches to tutor students on its platform. It provides students attention in one-on-one sessions. ByteLearn also helps students with personalised practice sessions.

Key Highlights

  • High demand for AI-powered personalised education, adaptive learning and task automation is steering the market.
  • Several AI segments such as speech and image recognition, machine learning algorithms and natural language processing can radically enhance the learning system with automatic performance assessment, 24x7 tutoring and support and personalised lessons.
  • As per the market reports of P&S Intelligence, the worldwide AI in the education industry has a valuation of $1.1 billion as of 2019.
  • In 2030, it is projected to attain $25.7 billion, indicating a 32.9% CAGR from 2020 to 2030.

Bottom Line

Rising reliability on smart devices, huge spending on AI technologies and edtech and highly developed learning infrastructure are the primary contributors to the growth education sector has witnessed recently. Notably, artificial intelligence in the education sector will expand drastically. However, certain unmapped areas require innovations.

With experienced well-coordinated teams and engaging ideas, AI education startups can achieve great success.

Reference Links:

https://belitsoft.com/custom-elearning-development/ai-in-education/ai-in-edtech

https://www.emergenresearch.com/blog/top-10-leading-companies-in-the-artificial-intelligence-in-education-sector-market

https://xenoss.io/blog/ai-edtech-startups

https://riiid.com/en/about

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