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Are you consciously or unconsciously aware of the fact that Artificial Intelligence is omnipresent? It is finely weaved in our day to day routine from phones to computer and tablets, every device embraces the technology in our surrounding. Even the rising trending craze for Netflix is also a gift of Artificial Intelligence, for sure. Therefore, it would not be an element surprise if we monitor the involvement of the Indian government in this sector. The Government of India is set to regulate Artificial Intelligence with a transparent set of guidelines for the procedure to develop and implement the AI technology, as confirmed by Minister of Commerce & Industry and Civil Aviation Suresh Prabhu. In a tweet declaring PM Narendra Modi’s move on emerging technology and need for regulation, Suresh Prabhu quoted – “Ideas and #Technologies have a broader impact in today’s society and it must be governed and guided by ethics for a better tomorrow.” Early this month during budget 2023 announcement, standing Finance Minister announced that the government was considering a national center for AI and will also be launching national AI portal soon. As the industry work ethics are becoming more and more reliant on the use of machines, machine learning, smart algorithms to empower AI systems, which makes it sagacious for regulation. The government, additionally, expects to handle ethical issues with some of the regulations framed. Such ethical issues include fear regarding: • How AI comes to making a certain decision based on the data that is available to it at that point of time • How to ensure that it makes the correct decision every time • Who owns the data about the users, and how that data is used to further power AI based apps, services, and platforms However, a larger portion of data that is gathered by AI and further used for improvisation is controlled by certain enterprises. The Indian government wants to install policies and guidelines along with a well-versed mechanism to write algorithms and how data is gathered in the whole process is utilized, safeguarded and perhaps tracked. Following Canada, Singapore, France, China, and the UK, India will be framing and subsequently enforcing policies and regulations that supervise the usage of AI.
Region-wise Instances AustraliaIn the 2023-19 budget, the government of Australia declared a four-year plan and booked AU$29.9 million to assist AI developments in the country. Simultaneously, to support the ethical and responsible development of AI, the government will design a Technology Roadmap, a Standard Framework, and a national AI Ethics Framework.
ChinaTwo years ago, China had launched “A Next Generation Artificial Intelligence Development Plan” which reflects the roadmap guidelines for as far as the year 2030 in context to AI development. It also promoted the enforcement of regulations and ethics for the development of AI.
European UnionEuropean Union, previous year in the month of April, drafted the Communication on AI document which among certain issues gives a synopsis of the need to embrace ethical and legal blueprint. It also inducted the preparation to draft guidelines which EU member countries would most likely adopt (or with some localized alteration and amendments).
Are you consciously or unconsciously aware of the fact that Artificial Intelligence is omnipresent? It is finely weaved in our day to day routine from phones to computer and tablets, every device embraces the technology in our surrounding. Even the rising trending craze for Netflix is also a gift of Artificial Intelligence, for sure. Therefore, it would not be an element surprise if we monitor the involvement of the Indian government in this sector. The Government of India is set to regulate Artificial Intelligence with a transparent set of guidelines for the procedure to develop and implement the AI technology, as confirmed by Minister of Commerce & Industry and Civil Aviation Suresh Prabhu. In a tweet declaring PM Narendra Modi’s move on emerging technology and need for regulation, Suresh Prabhu quoted – “Ideas and #Technologies have a broader impact in today’s society and it must be governed and guided by ethics for a better tomorrow.” Early this month during budget 2023 announcement, standing Finance Minister announced that the government was considering a national center for AI and will also be launching national AI portal soon. As the industry work ethics are becoming more and more reliant on the use of machines, machine learning, smart algorithms to empower AI systems, which makes it sagacious for regulation. The government, additionally, expects to handle ethical issues with some of the regulations framed. Such ethical issues include fear regarding: • How AI comes to making a certain decision based on the data that is available to it at that point of time • How to ensure that it makes the correct decision every time • Who owns the data about the users, and how that data is used to further power AI based apps, services, and platforms However, a larger portion of data that is gathered by AI and further used for improvisation is controlled by certain enterprises. The Indian government wants to install policies and guidelines along with a well-versed mechanism to write algorithms and how data is gathered in the whole process is utilized, safeguarded and perhaps tracked. Following Canada, Singapore, France, China, and the UK, India will be framing and subsequently enforcing policies and regulations that supervise the usage of chúng tôi the 2023-19 budget, the government of Australia declared a four-year plan and booked AU$29.9 million to assist AI developments in the country. Simultaneously, to support the ethical and responsible development of AI, the government will design a Technology Roadmap, a Standard Framework, and a national AI Ethics chúng tôi years ago, China had launched “A Next Generation Artificial Intelligence Development Plan” which reflects the roadmap guidelines for as far as the year 2030 in context to AI development. It also promoted the enforcement of regulations and ethics for the development of AI.European Union, previous year in the month of April, drafted the Communication on AI document which among certain issues gives a synopsis of the need to embrace ethical and legal blueprint. It also inducted the preparation to draft guidelines which EU member countries would most likely adopt (or with some localized alteration and amendments). Currently, it is not crystal clear that when would India’s first draft for AI policy will be handy and what guidelines and regulation will fall under it.
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What Is Artificial Emotional Intelligence?
The field of artificial emotional intelligence or Emotion AI is the most exciting and promising
When comprehending emotion, humans have always been able to outshine technology. Yet, that won’t last for very long. While some people may be skeptical about the idea of emotion being replaced by computers, experts in affective computing, also known as emotion AI or affective computing, claim we’re well on our way there and that by 2025, the industry for affective computing would be worth US $174 billion worldwide.
What is Artificial Emotional Intelligence?Artificial emotional intelligence is the ability of computers to recognize and respond to emotions in others by evaluating data such as facial expressions, gestures, tone of voice, keyboard force, and more. With the help of this capability, people and machines will be able to connect in a way that is much more natural and reminiscent of human-to-human communication.
In an MIT Media Lab, cameras, microphones, and physiological sensors were used to capture affective responses to recognize emotion in 1995, and then machines were programmed to react to those emotions. Rosalind Picard, a lab professor, published “Affective Computing” due to her early work. Nowadays, a machine’s skill at analyzing data might enable it to recognize minute emotional cues that some humans might overlook.
How Does Artificial Emotional Intelligence Work?Artificial emotional intelligence systems acquire data through a combination of computer vision, sensors, and cameras, a tonne of real-world data, speech science, and deep learning algorithms, process it, and compare it to other data points to detect important emotions like fear and joy. The computer interprets the emotion and what it might mean in each situation after finding the correct emotion. Computers become more adept at recognizing the subtleties of human communication as the emotion database expands.
How is Artificial Emotional Intelligence Used Today?Many businesses are actively utilizing it as the field develops to offer better services and goods. Here are a few illustrations:
A team at Microsoft is working to create new technologies that support emotional resilience and well-being. These technologies will make use of artificial emotional intelligence to recognize and react to emotional states. Specifically, in the areas of empathetic search, human understanding in games, and adaptive workspaces, the HUE (human understanding and empathy) team is tasked with integrating artificial emotional intelligence into Microsoft products.
Your appreciation for Cogito’s artificial emotional intelligence solution to enhance the experience will grow if you’ve ever been transferred through a company’s customer service contact center to address a problem and saw your level of frustration increasing with each transfer. Determining the caller’s mood, helps employees manage calls more effectively at the moment.
To detect mental health issues, artificial emotional intelligence technology can be helpful. A mental health monitoring app by CompanionMx can spot indications of anxiety and mood swings when someone speaks into their phone. A wearable gadget called BioEssence was developed by the MIT Media Lab that uses variations in heart rate to detect pain, stress, and frustration before releasing a smell to help the user get through such emotions.
Even those with autism who frequently find it difficult to read the emotional clues others give off when conversing may benefit from using emotion AI as a sort of assistive technology. People with autism may find it easier to “read” the emotions of others and respond to them properly with the aid of a wearable device.
Along with so many other applications of artificial intelligence, engineers must take care to ensure that the data sets used to train the technology reflect the diversity of our global society. Hopefully, this will occur as a result of the more widespread use of these applications.
10 Hot Indian Artificial Intelligence Startups To Watch Out In 2023
Over the past few years, startups have brought in a lot of Started by four IIT Roorkee friends, chúng tôi helps customer enterprises enhance the user engagements. It is basically an NLP driven platform which builds multi-lingual chatbots for businesses. So depending on what language is preferred, multi-lingual conversations can take place and enhance the business productivity. It was started by – Sourabh Gupta, Manoj Sarda, Akshay Deshraj, and Prateek Gupta. Recently they have launched their B2C product named Aisha. This personal assistant is in Hindi. It helps people from tier-2 and tier-3 cities; and has crossed about 50,000 users.
Are you unable to figure out what to buy? Fabulyst will definitely do this for you. Based out of Hyderabad, this startup will help all online women shoppers to decide what to buy based on the user inputs. Further, it does provide certain suggestions based on past purchases along with the best possible styling features. Whatever we purchase is the basis for our next purchase suggestion. What we want to style it with, plus what else can we combine into our carts is what this startup excels at.
Build on machine learning technologies and neurosciences; this startup has helped many ventures. It helps large businesses, enterprises and developers to come up with intelligent products and solutions with minimal development efforts. It has enabled various industries like banking, health care, infrastructure, manufacturing to have smart artificial intelligence powered brain to make automation a real-time activity. Two friends came up with this idea back in 2023 to use the machine learning techniques to help ace the businesses. Like to, improve the return on some investments, cross intelligence sectors and some other personalized and customizable sectors.
Majority of the company’s investment is into Research and Development which helps them in reaching their goals. Since 2013 they have also invited business experts to their team for enhancing the enterprise build and enabling developers to generate various AI related products for the next generation.
TAO is an AI-based independent consulting firm. This startup basically provides automated consultations. It comes with solution based outcomes and helps in the further optimization process. It is a platform for firms to develop and implement various automation strategies.
Amazed with the suggestions on what to buy next? That’s what chúng tôi does. Using AI, it builds up products which can solve several analytical problems a company can face. AIDA is one such product the company has built. It predicts what each customer is likely to buy. It was started by Prakhar Raj, Shitiz Bansal and Ajay Kashyap back in July 2023.
Stepping into the finance sector was always difficult. Like taking up a loan, demands much knowledge and general awareness without which probably we would face some difficulty. AskArvi has made it easier. It is a smart personal insurance platform which makes insurance buying simpler. It was started this year in January only. It has basically helped many customers select various insurance products with different – different features and provide recommendations also.
It has claimed to replace all the manual rules with AI platform. Using this no genuine order is rejected. It has also come up with a customer friendly idea of providing a two-month trial to initially support the ecosystem.
Embibe is an educational startup, which uses self-learning algorithms, machine learning and cognitive computing akin to IBM’s Watson for improving how people learn. Like they prepare mock tests for students to attempt which are driven by AI strategies. They’ll ask them to first answer questions they can attempt confidently to maximize scores.
What Is The Scope Of Artificial Intelligence In Our Daily Lives?
Today we have all heard, at least once in our lives, about artificial intelligence. And although it seems like a term taken from a science fiction movie, the reality is that Artificial Intelligence is already part of our daily lives, you just are not aware of it. Artificial Intelligence (AI) has become an extremely powerful digital tool, which has been adopted by many organizations in almost all sectors, markets, and industries because this type of technology allows them to optimize work and profitability. You can see how AI is applied for a wide variety of purposes today, from medicine to the
What is Artificial Intelligence?Roughly we could say that AI is the technology whose main objective is to try to imitate human reasoning and thought. These are systems created to store information, solve calculations and manage to process data to anticipate certain tasks. Artificial Intelligence allows machines to reason, plan, create and learn like human beings (or as close as possible). Through an algorithm, the AI can perceive the environment and relate to it. The machine receives information (provided by man), then it processes it and can respond to it. In this way, the AI manages to adapt its behavior, analyzing the effects of previous situations, and therefore manages itself autonomously. One of its greatest virtues is its speed of response, which makes it an extremely profitable tool for most businesses since it can learn from habits due to its intuitive nature, and it also allows for speeding up mechanical processes.
What is the AI for? In which fields can it be applied?As we have mentioned before, today this type of technology is more used than you think. Surely you will be surprised to find out the scope it has today. Although this type of technology is applied to a wide variety of fields, we could classify it into two large subgroups or areas: information processing and robotics. When it comes to information processing (which actually involves the storage, processing, and analysis of information), there are many machines that have been developed to accomplish almost any task in the most cost-effective and efficient manner. Thus, most platforms are capable of performing the following functions: Manage and control information; Analyze, plan and query data; Diagnose, configure and distribute components and hardware in computer systems; Interpret data; Make conclusions; Anticipate tasks and situations; Monitor tasks. In relation to robotics, it refers to a more dynamic facet, since we are talking about robots that are used to perform various tasks. Nowadays, this type of technology is more than anything used for assembly lines or in tasks related to the manufacture of objects; mostly covering monotonous and repetitive tasks.
Some examples of AI applied to everyday lifeAI applied in customer service Today, most of the live chats that offer customer service in different areas work through AI. Chatbots are those that assist people by answering basic help or technical support questions. For example, most legal online casinos and US operators are managed by a chatbot that offers fast and practical solutions 24 hours a day. This type of technology can help customers by handling simple requests such as opening an account, closing an account, and the like. AI applied to voice assistants/home automation We are not only referring to cell phones and other electronic devices, but also to smart homes that use Google Home or Amazon Echo technology. Through these assistants, which use NLP (natural language processing) technology, which allows them to interpret voice commands and respond to them, families have the possibility of carrying out most household tasks through a simple command by voice. AI applied to maps and navigation directions AI is fundamental to the existence of the navigation systems we use today, such as Google Maps.
Today we have all heard, at least once in our lives, about artificial intelligence. And although it seems like a term taken from a science fiction movie, the reality is that Artificial Intelligence is already part of our daily lives, you just are not aware of it. Artificial Intelligence (AI) has become an extremely powerful digital tool, which has been adopted by many organizations in almost all sectors, markets, and industries because this type of technology allows them to optimize work and profitability. You can see how AI is applied for a wide variety of purposes today, from medicine to the legal online casinos US industry. It is really surprising how this technology operates around us in most areas. Let’s see a little more in-depth what Artificial Intelligence is all about.Roughly we could say that AI is the technology whose main objective is to try to imitate human reasoning and thought. These are systems created to store information, solve calculations and manage to process data to anticipate certain tasks. Artificial Intelligence allows machines to reason, plan, create and learn like human beings (or as close as possible). Through an algorithm, the AI can perceive the environment and relate to it. The machine receives information (provided by man), then it processes it and can respond to it. In this way, the AI manages to adapt its behavior, analyzing the effects of previous situations, and therefore manages itself autonomously. One of its greatest virtues is its speed of response, which makes it an extremely profitable tool for most businesses since it can learn from habits due to its intuitive nature, and it also allows for speeding up mechanical chúng tôi we have mentioned before, today this type of technology is more used than you think. Surely you will be surprised to find out the scope it has today. Although this type of technology is applied to a wide variety of fields, we could classify it into two large subgroups or areas: information processing and robotics. When it comes to information processing (which actually involves the storage, processing, and analysis of information), there are many machines that have been developed to accomplish almost any task in the most cost-effective and efficient manner. Thus, most platforms are capable of performing the following functions: Manage and control information; Analyze, plan and query data; Diagnose, configure and distribute components and hardware in computer systems; Interpret data; Make conclusions; Anticipate tasks and situations; Monitor tasks. In relation to robotics, it refers to a more dynamic facet, since we are talking about robots that are used to perform various tasks. Nowadays, this type of technology is more than anything used for assembly lines or in tasks related to the manufacture of objects; mostly covering monotonous and repetitive tasks.Today, most of the live chats that offer customer service in different areas work through AI. Chatbots are those that assist people by answering basic help or technical support questions. For example, most legal online casinos and US operators are managed by a chatbot that offers fast and practical solutions 24 hours a day. This type of technology can help customers by handling simple requests such as opening an account, closing an account, and the chúng tôi are not only referring to cell phones and other electronic devices, but also to smart homes that use Google Home or Amazon Echo technology. Through these assistants, which use NLP (natural language processing) technology, which allows them to interpret voice commands and respond to them, families have the possibility of carrying out most household tasks through a simple command by chúng tôi is fundamental to the existence of the navigation systems we use today, such as Google Maps. Artificial Intelligence applied to these programs is what makes it possible to provide information on the state of traffic in real-time and up to date. It also allows recommending to the user the best route to access the desired site, considering all the necessary factors.
How Artificial Intelligence Is Transforming Video Editing?
Artificial intelligence’s development has altered many facets of our existence. Video editing software is one example of a shift. When it comes to operating simple applications like video editing software, AI technology is starting to engage and even replace workers in some situations. The fundamental notion is that AI will learn from its mistakes and make more precise choices than a human ever could. For individuals who rely on their employment as video editors, this may seem frightening, but there are still numerous ways humans can help in the management that cannot be handled by an algorithm just yet.
What is AI Video Editing?AI video editing is a technique that will make novices and those who have never used video editing software more compatible with the industry’s major guns. It promises to solve all of your issues and provide you with immediate pleasure without you having to bother about finding music or other tools! That’s right, you’ll never have to worry about exporting or uploading anything to the internet again.
AI in Video EditingEven if most people aren’t aware of it, AI algorithms are behind most of today’s most amazing YouTube videos. A unique piece of software built by Alphabet’s AI-focused Jigsaw group is meant to automatically modify YouTube videos so that they are understandable to people from diverse areas. The program gathers information about who could be watching the movie and which portions, such as references or labels, they might not comprehend. It can then rearrange visual content to offer more context for people who are unfamiliar with the language or who originate from cultures other than the original speakers.
Benefits of Using AI in Video Editing
AI can assist you in determining the optimal angles, shots, and edits.
It may also help you apply filters and transitions to your movies.
To utilize AI’s editing tools, you don’t need to know how to edit video.
AI editing is more effective than human editing since it organizes your footage for you.
AI may learn from your videos and make adjustments based on what it has learned.
With AI’s help, video editing gets faster and more efficient.
In a shorter length of time, you’ll be able to edit more film.
It’s simple to use and will take care of the majority of the work for you.
AI may make a video more interesting by proposing changes that the user may not have considered.
Colour correction and scene identification are automated, resulting in a better visual experience.
Face detection in films aids in the creation of tailored messages.
AI can edit videos more quickly than humans.
Video editing may be sped up with artificial intelligence.
AI can make a clip more engaging and interesting to watch by editing it. AI is less expensive than employing an editor, so you save money over the long term.
AI can assist you in locating the most appropriate video clips and pictures for your film.
Automatically Curating Video FootageIn 2023, IBM utilized its Watson supercomputer to curate material and produce a trailer for the horror-thriller Morgan, which was one of the first uses of AI in video editing. Watson essentially utilized machine learning to evaluate prior trailers, then used what it learned to curate and choose sequences from the movie that it thought would be appropriate for the trailer. That presentation demonstrated the influence AI might have on video content curation. A human editor would typically spend hours, days, or even weeks watching and curating all of the video material, but an AI might do it in a fraction of the time depending on specified characteristics. The human editor may then concentrate on creating the final film using the AI-curated clips. Since then, AI has been increasingly employed to assist with video curation. In certain situations, such as Google Clips, where the AI picks short and fascinating clips to shoot on its own and progressively learns and improves its decisions depending on how the user reacts to the clips it generates, it may even work fully on its own.
More Intelligent and Automated ToolsVideo curation isn’t the only aspect of editing that may benefit from AI’s automation; there is a slew of other tools that might benefit from AI in the same way. Because AI can ‘interpret’ films, it may be used in almost any type of editing tool, from color calibration to object elimination, visual effects, picture stabilization, and much more. Many of the technologies now used in these jobs seek to evaluate films using sophisticated algorithms, which AI might ultimately replace. Many platforms, like Adobe’s Sensei platform, are already beginning to offer more intelligent AI-assisted editing capabilities. Other editors are beginning to implement their own AI solutions. In the not-too-distant future, it’s predicted that more smart video editing tools will emerge, utilizing AI to understand and give recommendations for video editing. Video editing should be a lot easier for newbies with such tools, while more expert users will be able to reduce their effort significantly by having AI perform much of the heavy work.
The Future of Fully Automated Video EditorsAs you may have seen, while AI is revolutionizing video editing, it is only doing it as a tool to aid and support a human editor. Automatic video editing ignores your preferences and the topic of your video clips, whereas a video editing service cuts material to your specifications. The truth is that, while AI may be able to totally automated video editing, it is still a far way from being able to do it successfully. For the time being, consider AI as a useful tool that may help you simplify video editing and cut down on the time it takes to do it. Given that AI and machine learning are still in their infancy, it’s impossible to predict what they’ll become.
ConclusionHow Can Artificial Intelligence Drive Predictive Analytics To New Heights?
What is Predictive Analytics and how it helps business?
Today, businesses leverage big data analytics to remain relevant in competitive and dynamic markets by enhancing their offerings via data insights. Companies are racing to adopt artificial intelligence practices to tap into data and extract information that can prove helpful for them. But before launching their product into the market or executing their AI strategy, leaders are employing predictive analytics to understand customer behavior, market and sales projections and many more. Together, with customer intelligence, AI, machine learning and other forms of data analytics, predictive analytics is slowly transforming the way we carry business activities and make market decisions. Predictive analytics is basically the process of analyzing historical data, along with existing external data to find patterns and behaviors. Gartner elaborates the definition of predictive analytics as an approach to data mining with attributes emphasizing prediction (rather than description, classification or clustering) the business relevance of the resulting insights, ease of use, thus making the tools accessible to business users, while carrying rapid analysis that can be gauged in hours or days. It is applied to both structured data (transactions) and unstructured data (reviews, emails, and forum entries). These analytics can be applied to almost any business domain including weather forecasting, detecting insurance fraud attempts, repairing machinery and improving agronomic opportunities. Often times, the guiding principle behind predictive analytics is drawing insights from past experiences will help in predicting the future by following the same patterns. When paired with artificial intelligence, predictive analytics is capable of making more accurate and detailed insights, even the existing dataset is white noise. This is possible since machine learning application of AI helps AI-based predicted models to continuously learn and adapt, thus improving and making more accurate predictions over time. AI will further augment predictive abilities which can empower brands to identify, engage, and secure suitable markets for their services and products, and boost efficiency and ROI of marketing campaigns. It will also help eliminate costly IT downtime. E.g. Appnomic CMO, Cuneyt Buyukbezci cited that his company leveraged predictive intelligence to handle 250,000 severe IT incidents for its clients with AI, which equals more than 850,000 man-hours of work. AI-based predictive analytics will also enable sending intelligent alerts when anomalies occur. In customer-oriented businesses, it can help identify customers that are likely to abandon a service or product. For instance, suppose a customer has not renewed his membership for an OTT platform or did not proceed with the purchase of an item that was added to cart on an e-commerce site. The AI system will alert the CRM or sales team, who can prompt an email or text message reminding him of the pending transactions along with lucrative offers or discounts. A similar tactic can also be employed to upsell a product or service to most likely to buy customers. In banks and financial institutions, artificial intelligence and predictive analytics can prevent fraudulent transactions for banks by monitoring customer transactions and flagging transactions that deviate from standard customer behavior. At call-centers and BPOs, it can determine the staff required to handle sudden call surges. After the predictive system determines the number of personnel needed in the coming days or weeks, the call center can move towards staffing appropriately to keep wait times at an acceptable minimum. Apart from that AI in predictive analytics can provide increased productivity, reduce operating costs, transform business and operating models and help with more efficient resource management and asset management decisions. Moreover, by collating data-driven insights from customer data amassed from mobile, social media, stores, and e-commerce sites. Running predictive analysis of this data can facilitate the alleviation of customer conversion rates, predict and avoid customer churn, lower customer acquisition costs, and personalize marketing campaigns to increase revenue. It also improves speed to market, thus making organizations more adaptable and agile to compete. Forrester forecasts a 15% compound annual growth rate for the predictive analytics market through 2023. Meanwhile, Gartner has revealed in its 2023 Magic Quadrant for Data Science and Machine LearningPlatforms, about traditional software editors shifting from classic descriptive and diagnostic analytics to predictive and prescriptive analytics among top of historic big players. This implies most of the current industries are slowly incorporating predicting analytics into their business framework. Doing so can make a huge difference for businesses, looking to drive innovations, business decision and operations scalability via data.
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