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Top 10 Worthy AI Start-Up Ideas To Achieve Success In 2022

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Top 10 Worthy AI Start-Up Ideas To Achieve Success In 2022

Artificial intelligence is going to be the very pillar businesses ought to be built on.

When computer scientist Andrew Yang says AI is the new electricity, he means common sense and not a hypothetical proposition. In 2019 O’Reilly published a book in which it listed many factors which hold back in AI implementation, one of which is the company’s culture not recognizing the need for artificial intelligence. It is quite natural that old-time companies are grounded in their methods and rarely think of coming out of their silos. However, for new entrepreneurs this shouldn’t be a hurdle – needless to say, artificial intelligence is going to be the very pillar businesses ought to be built on – finding AI-driven ideas should be on their priority list, at least to stay relevant and successful. Just in case you are looking for some inspiration, go through these top 10 AI business ideas and find what works for you.

 

1. Virtual Assistant Business:

There is a rising demand for virtual assistants, thanks to the work-from-home culture. Starting a virtual assistant business is quite easy as it comes with low overhead. All that you need is a good AI algorithm to design the application’s functionality. A virtual assistant typically uses advanced AI, RPA, NLP, and machine learning to create data models. It counts as a good investment option for an AI start-up as the global intelligent virtual assistant market size is expected to grow at 28.5% by 2028.

 

2. AI powered IoT start-up:

IoT business is almost mainstream. From being an addendum to the principal business functionalities, it has emerged as a main driver of growth. Companies are inventing new applications day in and day out in areas like anomaly detection, cloud robots, elastic cloud computing, etc. The efficiency of IoT lies in leveraging the sensor technology and AI comes to its rescue with the ability of smart analysis of the collected data.

 

3. AI based tax return service:

Filing tax is the most cumbersome task in countries like India. However, with governments taking steps to include artificial intelligence, now it is very easy to get along with the circuitous process without having to fear missing out on minute details. Tax returns are a process that comes with a great amount of data, which again makes it a good case for machine learning applications. Though it cannot replace humans altogether, definitely it can make the job easier through seamless integration.

 

4. Automated recruitment business:

AI is not new to the recruitment business; however, it lags in many areas. There is no dearth of recruitment apps that use AI and most of them are notorious for reducing a candidate profile to a categorical ‘yes’ or ‘no’ option, leaving other factors null. This is exactly the area where a newbie can look into providing companies with a recruitment application as able as a well-meaning human being.

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5. AI powered cyber-security application business:

Have a passion for going after the digital goons? Then probably developing AI-powered cyber-security apps should be the venture should you look into. Increasing digitalization is giving way to a growing number of Cyber-crimes and hence the cybersecurity applications in the market. In a report, Reinventing Cybersecurity with Artificial Intelligence, it is stated that there is a compelling case for using AI in cybersecurity with three out of four executives believing that using AI allows for responding faster to new cyberattacks.

 

6. AI augmented E-learning application business:

Without any doubt, e-learning is going to be the norm of the day in the education sector. But, like any other unconventional technology, this too comes with certain caveats. Issues like impersonal approach in training, and letting machines decide what is ideal for a student, have been major concerns for teachers and students as well. Artificial intelligence can very well bridge this gap in identifying the subtle and diverse needs of the students.

 

7. Subscription based delivery apps:

Subscription based delivery apps have gained quite a popularity with business owners because they overcome the lacunae of other models efficiently. Artificial intelligence makes this experience more conducive to business growth, as it enables the applications with providing personalized discovery experience for customers and optimizing the operational strategy via predictive analytics for business owners.

 

8. Vulnerability detection application:

Vulnerability detection is a critical function for preventing code manipulation. Due to limited time and resources, software engineers take support applications that automate this process. As a vulnerability scanner typically uses a database to compare details about the target attack surface, machine learning algorithms find a perfect application for not just optimizing but scaling up the process.

 

9. AI personal shopping assistant:

Personal shopping assistants basically cuts-out middlemen to provide customers with a personalized and in-store experience, which otherwise comes at a hefty price. What if this experience is personalized, like having the store on your palm?  AI makes this experience much more interesting by enabling owners to find inventory-based information without having to depend on a human being.  AI connects customers’ shopping history to the manufacturer’s recommendation to help customers make informed decisions.

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10. AI online poker playing business:

Now getting down to some fun but not so funny business of gaming, Poker has grabbed a lot of attention in the artificial intelligence domain. Unlike chess and go, Poker heavily depends on predicting the hidden cards of the opponents. With the help of predictive analytics, Artificial intelligence can sort out the problems of uncertainty and complexity to a large extent. Perhaps, poker will no longer remain a game of just cards but rather, evolve into a game of algorithms. Consider yourself lucky if you can see what’s coming.

 

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Is Recruitment AI Breaching The Laws Set For Disabled People?

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Is Recruitment AI Breaching The Laws Set For Disabled People?

Is recruitment AI penetrating the regulations set for disabled people?

Bosses give PC based tests to candidates or use PC programming to score candidates’ resumes and a considerable lot of these devices use calculations or AI. As bosses progressively utilize Artificial intelligence(AI) devices to enlist laborers, the Department of Justice and the Equal Employment Opportunity Commission (EEOC) in the US have cautioned that such calculations can bring about unlawful oppression against individuals with inabilities.

AI in Organizations the world over is assisting them with choosing new workers, screen execution, and deciding payor advancements.

Bosses give PC based tests to candidates or use PC programming to score candidates’ resumes and a considerable lot of these devices use programming or calculation or AI.

 

One-sided evaluations

These days, managers are progressively going to outsider programming stages, for example, XOR and eSkill to further develop proficiency via computerizing the method involved with screening out unsatisfactory or unfit competitors as soon as conceivable in the enrolment cycle.

Normal purposes of the product incorporate the running of fitness tests, the checking of resumes, chatbots, and video talking with programming. These are supported by a center innovation stack that might incorporate parts of AI, normal language handling, and PC vision.

The issue with using these proficiency instruments is that the basic calculations used to recognize promising competitors are predominantly displayed off informational indexes containing standard, normalized and common conduct qualities.

Artificial intelligence takes care of information, all the more explicitly, looking for steady examples through information which is then used to make suspicions and forecasts. Artificial intelligence is less excited about non-conventionalist edge cases and with regards to people, incapacity is just about the most convincing edge case out there.

 

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Transparent communication

In the two direction records given by the EEOC and DOJ named “The Americans with Disabilities Act and the Use of Software, Algorithms, and Artificial Intelligence to Assess Job Applicants and Employees” and “Calculations, Artificial Intelligence, and Disability Discrimination in Hiring” individually, a few pragmatic instances of the manners by which AI algorithmic recruiting instruments can make inconsistent encounters for competitors with incapacities are spread out.

These could incorporate the utilization of coordinated or gamified tests that are clearly unavailable to applicants with an engine or visual disabilities because it is hard for them to utilize a mouse or view the screen, especially while working at speed.

Another model might be video examination programming whose actions look for discourse designs. Such programming is probably going to naturally write down a person on the chemical imbalance range who might have a non-standard eye stare or somebody with a gentle discourse hindrance.

Frustratingly, such tests are frequently bundled into the product as standard regardless of whether they bear little relationship to the abilities expected for the particular occupation on offer.

Programming and chatbots used to quickly examine resumes might raise a programmed warning over holes in work history but, on account of up-and-comers with handicaps, these may basically be available because of drawn-out clinical treatment or to be sure the separation of different businesses during past employment forms.

At last, calculations come up short on subtlety to factor in how viable an applicant may be in their work job assuming the sensible facilities legally necessary under the ADA were set up. All things considered, depending on average pattern situations.

 

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Top Use Cases Of AI In The Food Processing Industry In 2022

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Top Use Cases Of AI In The Food Processing Industry In 2022

AI could fundamentally further develop bundling, expanding timeframe of realistic usability, a mix of the menu by utilizing AI algorithms, and food handling by making a more straightforward inventory network the board framework. With the assistance of artificial intelligence, the future of food businesses is founded on brilliant cultivating, mechanical cultivating, and unmanned aerial vehicles. Let’s know the top use cases of artificial intelligence in the food processing industry in 2022.

 

Top uses cases of AI in the food processing industry in 2022

1. Sorting vegetables: Artificial intelligence and machine learning provide sensor-based optical sorting solutions in the food processing industry. It consists of cameras and near-infrared sensors that help to yield high with much lesser waste.

2. Seamless supply chain management: AI helps to enhance transparency in the food processing industry with seamless supply chain management. It provides food safety monitoring and accurate forecasting with transparency.

3. Enhanced food safety compliance: AI in the food processing industry offers opportunities to enhance food safety compliance by maintaining safety regulations with AI object or image recognition systems.

4. Assistance with food cleaning method: AI with its self-optimizing clean-in-place system can leverage ultrasonic sensing and optical fluorescence imaging technologies. It helps to run the necessary cleaning system to maintain hygiene.

5. Understanding customer tastes: The food processing industry is reaping the benefits of AI for a better understanding of customer tastes to sync with business strategies, especially food preferences in menus and production.

 

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The World’s Most Advanced AI Language Model GPT-3 Can’t Talk To Dead?

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The World’s Most Advanced AI Language Model GPT-3 Can’t Talk To Dead?

AI tech could let you speak to your loved ones after their death! But can GPT-3 talk to dead people?

Deadbots are a new application of artificial intelligence. Deadbots are chatbots that allow you to converse with dead people by imitating their responses. Their development is part of a more global context of virtualizing relationships and blurring the boundaries between the physical and digital worlds. But, surprisingly the world’s most advanced AI language Model GPT-3 can’t talk to dead people!

At first glance, GPT-3 seems to have an impressive ability to produce human-like text. And there is no doubt that it can be used to produce entertaining surrealist fiction; other commercial applications may emerge as well. But accuracy is not its strong point. If you dig deeper, you discover that something’s amiss: although its output is grammatical, and even impressively idiomatic, its comprehension of the world is often seriously off, which means you can never really trust what it says.

 

AI can Speak to the Dead!

Using the tech that sounds straight out of an episode of Black Mirror, the chatbot would potentially allow users to converse and interact with a past or present entity. First reported by the tech news site, Protocol, the tool wouldn’t just allow you to chat with a late family member, but also an acquaintance, celebrity, or a historical figure.

The chatbot would pick up the voice and information of a relative by using videos, voice recordings, letters, and social media posts. Then, it could potentially be used and interacted with via a smartphone, or another smart device, like a Google Home.

It is currently unknown what Microsoft plans to do with the technology, or whether it plans to release a chatbot after the issuing of the patent.

There are currently several start-up companies in the US working on similar ideas to the Microsoft plans.

Eterni.me is a California firm that creates animated avatars of people using data from social media profiles. This is similar to the hologram of Kim Kardashian’s late father, which was recently given to her as a birthday present by her husband, Kanye West.

More similar to the Microsoft chatbot is HereAfter AI. Its creators are currently developing an app that uses voice recordings to talk and reminisce in the persona of a dead person.

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Users of the app would be able to speak to a former loved one and ask a question like: “Mum, tell me about my first steps.” They would then hear their mother’s voice telling the story.

The waiting list of people to be interviewed for inclusion in the app is already long, and they will be asked questions about their lives, with responses put into different sections.

 

The Bottom Line

The public is confused enough about what AI can and can’t do. Articles featuring ‘experts’ intimating that AI can commune with the dead or that GPT-3 is already sentient, without clearly pushing back against such ridiculous ideas, stoke the fires of ignorance.

 

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