AI Revolutionizing and Transforming Sports Forever

July 31, 2023

In the ever-evolving landscape of technology, artificial intelligence (AI) has emerged as a driving force of innovation, revolutionizing various industries. From healthcare to finance, AI has left an indelible mark on numerous sectors. In recent years, the realm of sports has also experienced a profound shift due to AI technologies. Even some of the reviews on the bookies websites, available through this source, can be written using the stats, gathered by that tech. This article explores how AI is revolutionizing and transforming sports forever, with a focus on athlete training and performance optimization, enhanced fan experiences, referee assistance and fair play, data analytics and performance analysis, and injury prevention and athlete health.

Athlete Training and Performance Optimization

AI is radically transforming athlete training and performance optimization. With its ability to process and analyze vast amounts of data, AI algorithms are revolutionizing training programs, helping athletes reach their full potential. By incorporating biometrics, motion tracking, and historical performance records, AI systems provide valuable insights into an athlete’s strengths and weaknesses. This information allows trainers and coaches to tailor personalized workouts and training regimes that target specific areas for improvement. AI can also simulate game scenarios, providing athletes with invaluable opportunities to refine their skills and decision-making abilities. By creating virtual environments, AI allows athletes to practice and strategize, preparing them for the challenges they may face during actual competition.

Enhanced Fan Experiences

AI is not only transforming the performance of athletes but also enhancing the experiences of sports fans. Augmented reality (AR) and virtual reality (VR) technologies are at the forefront of this revolution, allowing fans to immerse themselves in the action as if they were part of the game. Through AR and VR, fans can witness sports events from unique perspectives, accessing exclusive content and experiencing the thrill of being on the field or court. For example, VR headsets can transport fans into the stadium, allowing them to virtually sit in the best seats and enjoy the game as if they were physically present. Additionally, AI-powered chatbots have become an integral part of fan engagement, providing instant responses to inquiries, updates on scores, and personalized recommendations. Social media platforms are also utilizing AI algorithms to deliver tailored content and updates based on fans’ preferences, allowing for a more interactive and engaging experience.

Referee Assistance and Fair Play

AI is playing a significant role in ensuring fair play by providing valuable assistance to referees. The Video Assistant Referee (VAR) system is a prime example of how AI can be utilized in sports officiating. VAR leverages AI algorithms to analyze video footage, helping referees make accurate decisions in crucial moments of the game. Whether it’s determining offside calls, identifying fouls, or resolving goal-line controversies, AI can process data in real-time, reducing human error and ensuring fairness in the game. VAR has been implemented in various sports, including football (soccer) and rugby, with the aim of minimizing controversial calls and maintaining the integrity of the game. However, it’s important to strike a balance between AI assistance and maintaining the human judgment required for nuanced decision-making.

Data Analytics and Performance Analysis

AI-driven data analytics is revolutionizing the way sports teams analyze performance and strategize. By harnessing the power of AI, teams can process massive amounts of data and extract valuable insights that human analysts might overlook. From player performance analysis to opponent scouting, AI enables teams to make data-driven decisions, optimize game strategies, and gain a competitive edge. Computer vision systems powered by AI can track player movements, detect patterns, and provide real-time feedback during training sessions and matches. This level of analysis not only benefits teams but also provides fans with a deeper understanding of the game through statistical insights and advanced visualizations. For example, AI algorithms can generate real-time statistics, highlight key moments in the game, and provide predictive analysis, allowing fans to gain a deeper appreciation for the intricacies of the sport.

Injury Prevention and Athlete Health

The field of athlete health and injury prevention has also witnessed significant advancements with the help of AI. Sensor-equipped wearables and AI algorithms are used to monitor athletes’ vital signs, biomechanics, and fatigue levels in real-time. This data is then processed and analyzed, providing athletes and coaches with valuable insights into their physical condition and performance. Machine learning algorithms can identify injury patterns and risk factors, allowing teams to implement preventive measures and develop personalized training programs to minimize the occurrence of injuries. For example, AI can help detect early signs of overexertion or fatigue and recommend appropriate rest periods or adjustments to training intensity. AI-powered rehabilitation systems further optimize the recovery process, assisting athletes in returning to peak physical condition. By leveraging AI in injury prevention and athlete health, teams can enhance the longevity and performance of their athletes, ultimately leading to better overall team performance.

Conclusion

Artificial intelligence is revolutionizing and transforming the world of sports, affecting athletes, fans, and the entire sports ecosystem. Through AI, athlete training and performance optimization have reached new heights, with the ability to simulate game scenarios and refine skills. Enhanced fan experiences are made possible through the immersive technologies of AR and VR, chatbots for interaction, and personalized content through social media platforms. AI-assisted referee systems ensure fair play, aiding in critical decisions through VAR and reducing human error. Data analytics and performance analysis driven by AI provide teams with valuable insights, while injury prevention and athlete health benefit from AI’s ability to monitor and personalize training programs. As AI continues to evolve, its integration into sports promises an exciting and transformative future for athletes, fans, and the entire sports industry. The intersection of AI and sports opens up new possibilities, pushing boundaries and creating a more engaging, fair, and optimized sports experience for all.

Data Jujitsu: 10 Powerful Techniques for Mastering Complex Analytics

Sahil Pawar

July 31, 2023

Data Jujitsu 10 Masterful Techniques for Navigating Complex Data in Analytics — Image Credits: TDS

When it comes to data analytics, navigating complex information is a crucial skill. It is where Data Jujitsu comes into play. But what exactly it is, and how can it help you master analytics? Find these answers in our article!

Understanding Data Jujitsu

Data Jujitsu is a concept introduced by DJ Patil, the previous U.S. Chief Data Scientist. It is a strategic approach to deriving meaningful insights from intricate information. The philosophy behind it is to achieve the greatest outcomes with the least amount of effort. It involves breaking down complex information challenges into manageable parts and applying innovative analysis techniques to explore them.

Here are a few core principles on which this philosophy rests:

Flow with It: This principle encourages one to be flexible and adapt their approach according to the data they encounter. Just like a martial artist flows with the movements of their opponent, successful analysts should be able to adjust their techniques based on the characteristics and quality of the data they are working with.
Simplicity and Elegance: Strive to find the most straightforward and efficient ways to extract valuable insights from the input. Avoid overcomplicating analysis with unnecessary steps, and focus on delivering actionable results without sacrificing accuracy.
Focus on Impact: Concentrate on the most critical business or research questions and focus your efforts on finding meaningful patterns. Avoid getting lost in the noise of information and use the latest data analytic solutions to derive insights that matter.

The Value of Jujitsu

Its real value is simplifying and streamlining the analysis process. A recent survey by Anaconda revealed that data manipulation, a key component of Jujitsu, represents about 65% of the total time spent by ML/data scientists.

With the exponential growth of information scope, this technique is more pronounced than ever. It’s not just about managing the volume of information but transforming it into a strategic asset. As DJ Patil puts it in his same-name book, the technique is about building data products and turning information into actionable, valuable insights.

10 Techniques for Mastering Complex Analytics

As we delve deeper into the science of Jujitsu, we encounter ten techniques that form the backbone of this approach. Let’s explore each of them in more detail.

#1: Cleaning

It is the process of identifying and correcting errors in datasets. It’s scrutinous work of spotting the inconsistencies, missing values, and outliers that can skew your analysis.

Example: A data professional might use algorithms to fill in missing information or remove duplicate entries, ensuring integrity. According to IBM, poor information quality costs the U.S. economy around $3.1 trillion a year, highlighting the importance of this step.

#2: Integration

It involves combining info from different sources into a unified view. It’s like assembling a jigsaw puzzle, where each piece represents another information source. This technique is crucial when information comes from various sources like CRM systems, social media, and sales records.

Example: A case study from Cisco revealed that integrating info from different departments led to a 360-degree customer view and improved customer service.

#3: Transformation

It is converting information from one format or structure into another. It’s akin to translating a foreign language into your native tongue.

Example: You might normalize numerical info or encode categorical information to prepare it for a machine learning model. This step is crucial in making the data understandable for the algorithms.

#4: Visualization

Visualization is representing information in a graphical or pictorial format. Use tools like Tableau or PowerBI to create interactive dashboards that bring info to life.

Example: According to Aberdeen Group, organizations that use visual info discovery tools are 28% more likely to find timely information than those that don’t.

#5: Feature Engineering

Feature engineering involves creating new features or modifying existing ones to improve machine learning model performance.

Example: A professional might create a new feature that combines age and income to predict a customer’s purchasing power. A famous example is the Netflix Prize competition, where the winning team used feature engineering to improve their algorithm’s performance and win the $1 million prize.

#6: Dimensionality Reduction

Dimensionality reduction is about reducing the number of random variables under consideration. Its goal is to retain the most important patterns and relationships, making it easier to perform the analysis.

Example: Techniques like Principal Component Analysis (PCA) can help simplify high-dimensional information without losing important insights. This technique is used in fields like genomics, where datasets can have thousands of dimensions.

#7: Anomaly Detection

Anomaly detection involves identifying outliers in info that deviate from the norm. Machine learning algorithms can help detect anomalies in large datasets, which can be crucial in fraud detection or network security.

Example: Credit card companies use anomaly detection to identify fraudulent transactions and prevent losses.

#8: Predictive Analytics

Predictive analytics uses historical information to predict future events. Machine learning models, such as regression or time series analysis, can forecast sales, customer churn, or market trends.

Example: Companies like Amazon use predictive analytics to recommend products, contributing to 35% of their total sales.

#9: Real-time Analytics

Real-time analytics involves analyzing information as it’s generated in real time. This technique is crucial in social media monitoring, stock market trading, or emergency response, where timely insights can make a big difference.

Example: Twitter uses real-time analytics to tailor content to user preferences, improving user engagement.

#10: Machine Learning

Machine learning is training a model to make predictions or informed decisions. Machine learning algorithms can uncover patterns and relationships in complex information, providing valuable insights that would be difficult to discover manually.

Example: According to a report by McKinsey, machine learning could generate up to $6 trillion value annually in marketing and sales alone.

Conclusion

Mastering the techniques described in this article can help you easily navigate the complex world of data analytics. Remember, Data Jujitsu is, first and foremost, about using the proper technique at the right time. As information grows in volume and complexity, the importance of these skills will only increase.

How can AI be used in logo design?

Sahil Pawar

July 31, 2023

Image Credits: Vecteezy

When you need to design a logo for your company, there are many tools that you can use to create one. The newest technology that everyone is talking about is artificial intelligence. The use of artificial intelligence in different fields has brought a lot of success to companies by increasing the productivity of the workforce. The use of AI is diversifying and becoming very popular in different areas of the industrial workflow. AI is also used in marketing and branding activities. In fact, the use of AI is also done for the design and creation of business logos.

There are many AI powered logo makers online where you can get great, meaningful logo designs to represent your business. What a graphic designer can do with traditional tools, he can do better with the help of AI Tools. The idea of using AI in industrial operations, in any field, whether marketing or sales, is not to replace human skill but to enhance capabilities with the right assistance.

AI or do it yourself?

The do-it-yourself mode of creating a logo design is time-consuming and can take hard work from the graphic designer. Moreover, the graphic designer has to take a trial-and-error approach if he is doing it on his own. On the other hand, if the designer is taking the help of AI-powered tools, the finished design is better and without fewer errors. The designer can then modify it again, but the time and effort put into the process is lesser than before.

Usually, a logo design takes somewhere from 3 to 4 weeks to complete without errors. If your business wants a perfect logo design that is even better than the brief, then you have to wait for at least a month. In that one month, the logo design goes through multiple revision cycles and changes. This happens when you entirely depend on manual skills and the more conventional tools.

The use of AI can expedite the logo design process to such an extent that the whole process is shortened to 2 to 5 minutes. If a graphic designer is really good at fine-tuning the logo design and working with AI logo maker tools, he will be able to create a great logo design in half a day or a day. Even if the client wants some major changes in the business logo, the whole repeat process would also take a day or so, and you have the output ready in a day.

Since we are looking at a boom in startup culture, there is a need to create new logos with originality and emphasis. Sometimes, startup companies need a logo at the earliest so that they can launch their marketing strategies. At other times, some startup companies do not wish to invest a lot in the logo design process. In both cases, the use of AI-powered logo makers and other tools is useful. AI can reduce turnaround time in the design while also reducing the cost of design.

Why do companies opt for AI designing tools?

If you are still thinking about how AI helps businesses in logo designing and making, here are some important points to consider-

It is fast

Using AI is a good decision because it reduces the time taken to design, create and finalize a logo design. AI does all the hard work on the basis of the prompts given to it, and based on the prompts that the graphic designer gives, it creates a complete logo design that looks really good and has a great impact on the customers. Artificial intelligence algorithms create digital art that looks as beautiful as the art created by humans.

More control

Often, people have this misconception that when we use AI, we are relinquishing control to the computer and its algorithm. The truth is when we are using AI, we are manipulating the algorithm like a tool, and according to our commands, it creates designer-quality output. How the AI algorithm responds and what type of logo design you get depends on what prompts you share with the computer.

We control the information fed into the computer and, in a way, also control the final output. Suppose you think in another way; often, what the designer imagines does not come across properly on the screen. The control we have over AI is greater as we can make smaller changes and larger transformations of logo design. You can not only create new logo designs for upcoming brands but also rebrand existing ones in a better way.

The smart way of creating logos

A logo design is important, but it is only one component of the brand that you wish to create. When designing the logo, adopting a smart method that does not take a lot of effort will help designers. In the age of AI, the smartest decision that a graphic designer can make is to learn about the new AI upgrades that existing editing tools and designing tools have. The more you update your designing toolkit, the smarter and better you work.

At a time when there is a huge demand for logo designing skills, the use of AI logo makers and features can help designers complete their projects within the deadline. The use of AI also gives you the freedom to work on multiple projects at the same time. By using Ai, you are using your own imagination and prompts, but you are letting the machine do the research for a good unique design.

It’s inexpensive

The use of AI has reduced the cost of logo generation. Earlier, the time taken by a graphic designer and the tools used for logo creation used to cost a lot. However, now that you get great logo design in one go on an AI-powered platform or app, the costs are reduced to a great extent. In fact, if you simply want a basic logo design generated by AI, there are many free logo makers that will give you good output.

Companies are using Ai for logos and other designing tasks by hiring graphic designers who are trained in the use of Ai and ML. They are not completely replacing human expertise but choosing to use better tools in the workforce.

Paralyzed Man Regains Movement After First-ever AI-infused Surgery

Sahil Pawar

July 31, 2023

Paralyzed man regains movement after first-ever AI-infused surgery — Image Credits: The AI Cover

An American from Long Island found artificial intelligence to be a blessing in disguise. After a diving accident left him paralyzed, he was able to move and feel his body again, thanks to a surgery that connected his brain to a computer via microelectrode implants.

Keith Thomas, 45, is a pioneer patient for AI-infused surgery to treat or cure conditions like blindness, deafness, ALS, convulsions, cerebral palsy, and Parkinson’s, according to the New York Post.

According to Chad Bouton, a professor at Feinstein’s Institute of Bioelectronic Medicine, “This is the first time a paralyzed person is regaining movement and sensation by having their brain, body, and spinal cord electronically linked together. We could continue to assist millions of people worldwide, perhaps with a wider range of conditions.”

When Thomas dove into a friend’s pool in Montauk, New York, in 2020, he shattered his neck and sustained damage to some of his vertebrae. According to what was said, he was never to be able to move below his neck. He maintained his optimism, nevertheless. He told the Post, “I’m a true New Yorker and wanted everything done straight away.”

Thomas was a good candidate for the surgery because of his tenacity and love of life, according to Dr. Ashesh Mehta, director of the Institute’s Laboratory of Human Brain Mapping. As per the New York Post, Thomas underwent a 15-hour surgery during which he was conscious for a portion to converse with the medical staff.

“The procedure needed to go flawlessly. Error was not an option. There is only one proper way to do it, and a million ways it could go wrong,” Mehta continued. Since his injury, Thomas has been able to hold his sister’s hand after surgery and a one-week rehabilitation period.

MIT Introduces ‘PhotoGuard’ to Prevent AI Manipulation of Images

Sahil Pawar

July 31, 2023

MIT introduces 'PhotoGuard' to prevent AI manipulation of images — Image Credits: MIT

A method to prevent images from being manipulated by AI has been developed by the Computer Science and Artificial Intelligence Laboratory (CSAIL), a unit of Massachusetts Institute of Technology (MIT) in the United States.

The tool, called PhotoGuard, guards against improper usage of photographs by modifying pixels in a way that makes it challenging for artificial intelligence to comprehend. According to the paper, these “perturbations” are imperceptible to the human eye but are interpreted by AI.

Using an “encoder” approach, which alters the information that describes the precise position and color of pixels in an image, is one way to put this into practice. The AI is unable to comprehend what it is looking at as a result of this modification.

The second technique, referred to as a “diffusion” attack, makes the image appear to be another in the eyes of an AI. This is accomplished by using data from a different target image and changing the pixels in the source image to match that, masking the image in the AI’s vision.

Although the methods work, they aren’t yet error-proof. Cropping, flipping, or adding digital noise to the image would still allow anyone to reverse engineer it.

This occurs at a time when generative artificial intelligence is growing, raising the possibility that our photographs will be altered and used against us. This has already been demonstrated in images, from Pope Francis donning a puffy jacket to a fake Mark Zuckerberg ranting about how he rules the world.

Generative AI Tool AutogenAI for Writing Bids and Pitches Secures $22.3M

Sahil Pawar

July 30, 2023

Generative AI tool AutogenAI for writing bids and pitches secures $22.3M — Image Credits: AutogenAI

Blossom Capital has invested $22.3 million in London-based firm AutogenAI to help it develop its platform and increase its clientele. The startup has created a tool based on generative AI to help companies create better pitches and boost their success rates.

28 clients have already signed up with AutogenAI since it launched less than a year ago. The business, which is estimated to be worth “hundreds of millions,” uses large language models from OpenAI and other sources along with confidential structured and unstructured customer data.

AutogenAI boasts a varied clientele, including international management consultants, construction firms, facilities management corporations, and nonprofit organizations, yet it withholds particular customer names.

Users of AutogenAI’s interface can search information and produce pitches based on their prior achievements. Before being offered for contracts, the team customizes and improves these drafts. According to AutogenAI’s claims, its software can speed up the pitch writing process by 800%.

AutogenAI covers two crucial components of successful bids. First off, it does away with the requirement for a substantial budget outlay by lowering procurement expenses by about 10%. Second, the platform cuts down initial bid writing time by 70%, freeing teams to concentrate on others essential tasks.

Blossom Capital is interested in AutogenAI because of the potential ROI the solution could provide. The application can assist companies in increasing production and profitability by saving time and streamlining the proposal drafting procedure.

Netflix Faces Criticism From Writers and Actors After Posting AI Job that Pays $900K

Sahil Pawar

July 29, 2023

Netflix faces criticism writers actors posting AI job pays $900K — Image Credits: Netflix

As the Hollywood strikes continue, Netflix is receiving criticism for posting an advertisement for an AI job position that can earn up to $900,000 annually. The job description indicates that the Product Manager for machine learning platform role may be situated remotely on the West Coast or in Netflix’s Los Gatos, California, office.

According to the job description, this position would establish the overall strategic plan for the machine learning platform. The job description includes goals, important outcomes, and success measures that are in conjunction with engineering and in line with more general company goals.

Rob Delaney, a comedian and actor who most recently appeared in a Black Mirror episode that explored the use of artificial intelligence to duplicate performers’ performances, criticized the new Netflix position’s high compensation in an interview.

“So $900k/yr per soldier in their godless AI army when that amount of earnings could qualify thirty-five actors and their families for SAG-AFTRA health insurance is just ghoulish,” he declared. “There is enough money for everyone; it’s only a matter of priorities, I can guarantee you, having experienced both poverty and wealth in this industry.”

Protections against artificial intelligence are a major concern during the ongoing strike by members of the Writers Guild of America and the Screen Actors Guild. The Screen Actors Guild reports that 87% of its actors earn less than $26,000 annually.

Television scriptwriter Javier Grillo-Marxuach said, “Pleading poverty while recruiting very well-paid generals for your soulless army of Silicon plagiarists is not a good look.” Unions for actors and writers are on strike for greater pay and to prevent the use of AI to substitute human likenesses in writing or acting.

PM Modi Boasts of India’s Thriving Semiconductor Industry at Semicon 2023

Sahil Pawar

July 28, 2023

India is acting as an excellent conductor for the semiconductor sector, according to Prime Minister Narendra Modi, who compared the country to a conductor in a chip and claimed it is checking all the necessary boxes. The Prime Minister was addressing during the three-day SemiCon India 2023’s opening session, which was held at Gandhinagar, Gujarat’s Mahatma Mandir.

The event to further India’s semiconductor mission in Gandhinagar attracted more than 500 industry leaders, researchers, policymakers, government officials, and entrepreneurs, among others. Ashwini Vaishnaw, the federal minister for railways, communications, electronics, and IT; Rajeev Chandrasekhar, the union minister of state for electronics and IT; and Gujarat chief minister Bhupendra Patel were in attendance at the official ceremony.

Young Liu, chairman of Foxconn, Anil Agarwal, chairman of Vedanta Group, Mark Papermaster, executive vice president and chief technology officer of AMD, Anirudh Devgan, president and chief executive officer of Cadence, Sanjay Mehrotra, president and chief executive officer of Micron Technology, and Prabhu Raja, president of semiconductor products group at Applied Materials, were on the panel from the industry.

“People asked why invest in the semiconductor sector in India a year ago when we held the first SemiCon. The question is now, “Why not invest?” after a year,” said the PM while talking to the leaders. “You’ve pinned your hopes and aspirations on India, and India has not let you down. In the India of the twenty-first century, there are many prospects for you to grow your business because of India’s democracy and population.”

According to the PM, India was once a rising star in the electronics industry. He said India’s production in 2014 was under $30 billion. Now, according to him, India’s exports of electronics and mobile phones have increased during the past two years. The best phones are now manufactured and exported from India, which formerly imported them, to other countries.

According to him, the recently launched National Quantum Mission and the upcoming National Research Foundation Bill are both included in the entire roadmap of the semiconductor revolution. The PM further stated that the revamped engineering curriculum would aid in the recruitment of experts for the sector. The PM continued that there will be a need for roughly 1 lakh designers over the next five years, and the projects would guarantee a supply.

AI To Take More Jobs From Women Than Men By 2030: McKinsey Survey

Sahil Pawar

July 28, 2023

People are becoming more concerned about the possibility of various jobs being eliminated by advanced technology as a result of recent developments in artificial intelligence. According to a recent survey by the McKinsey Global Institute, the rise of automation and artificial intelligence will result in more women losing their employment by the end of the decade than men.

According to the survey, workplace automation and artificial intelligence will drive nearly eight in ten women to change jobs or go on to another organization.

Food services, customer service and sales, and office support are the sectors that automation is predicted to dwindle the most. Women occupy more low-paying occupations than males do in these industries, thus they are more likely to be impacted.

The paper notes that office support and customer service, which could lose around 3.7 million and 2.0 million jobs, respectively, by 2030, are fields where women are disproportionately represented. According to the survey, other low-paying positions, such as retail salespeople and cashiers, which are largely held by women, may also be impacted.

As a result, in order to advance to other roles and remain relevant in the workforce, women will need to broaden their skill sets. According to the survey, businesses should look for, select, and train candidates who have the aptitude to work alongside automation.

According to a Goldman Sachs research from March 2023, generative AI may affect up to 300 million employment. According to the paper, generative AI tools like ChatGPT could lead to a productivity boost over the following ten years since they can produce content and perform tasks that are very comparable to humans.

Kerala’s Minister of Public Works and Tourism Interviewed by AI News Presenter

Sahil Pawar

July 28, 2023

Kerala's Minister of Public Works and Tourism interviewed by AI News Presenter — Image Credits: OnManorama

Kerala’s Minister of Public Works and Tourism, P.A. Muhammad Riyas, was interviewed by an AI news presenter, marking a significant step in AI-based journalism. The interview, which was organized by Channeliam.com, represents a yet another revolutionary advancement in the use of artificial intelligence in news production.

The news anchor Pragathy was introduced by Channeliam.com recently, which used this chance to set up this unique interview. Emerging technology and Kerala’s readiness for AI advancements were among the many topics discussed throughout the session.

Channeliam.com, a digital news outlet, is a startup founded by Nisha Krishnan. This start-up, which was supported by the Kerala Startup Mission and was founded in 2016, played a key role in the planning of the whole event.

In the AI-led interview, the minister was questioned by Nisha Krishnan’s avatar, powered by generative AI capabilities. The CEO and founder of Channeliam.com, Nisha Krishnan, expressed her delight on this novel method of reporting. She praised the minister for being receptive to technological developments because this opens up more avenues for public discourse.

Such events are an evidence of how journalism and technology have converged. On March 30, India Today debuted the country’s first-ever AI news anchor known as Sana. It was followed by the introduction of Lisa, Odisha’s first news anchor launched by OTV and Soundarya, South India’s first news anchor launched by Power TV.

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