Artificial Intelligence
15 Future AI Startups
Artificial intelligence will create new opportunites that do not exist today
Posted March 5, 2019
The investment gold-rush in artificial intelligence (AI) is a worldwide phenomenon across all sectors—financial services, transportation, health care, biotechnology, pharmaceutical, automobiles, electronics, gaming, entertainment, esports, manufacturing, aerospace, agriculture, chemical, media, computing, construction, energy, education, retail, apparel, food, consumer packaged goods, hospitality, and more industries.
AI will spark a future boom for pioneering entrepreneurs, venture capitalists, angel investors, and forward-thinking corporations. Artificial intelligence will give rise to entirely new types of businesses both for consumers and corporations alike. Here are fifteen potential new industries that AI automation may create in the future.
AI Med-Check
- Goal: Improve patient outcomes with personalized medical care by checking for any potential negative reactions based on the individual patient’s genomics, lifestyle and other considerations such as other current prescription medications
- Provide physicians, pharmacies, health care providers, and patients with a fast-turnaround (e.g. 2 minutes or less) check on how a certain medication may interact with the individual based on information the patient is willing to provide (genomics, health history, medications, lifestyle, demographics, etc.)
- Solution is SaaS (Software as a service) hosted cloud solution that is accessible with an internet connection
AI Verification Services
- Goal: Set and maintain industry standards on the authenticity of content and source. Answers whether the content was human or machine-generated, and whether or not the content is truthful and in-existence
- Provide due-diligence to verify authenticity of information (e.g. media outlets, news, social media content, pictures, text, voice, and more)
- Verified sources have the right to use the “Verified” trademarked brand on their public-facing websites and social media
AI Quick Legal
- Goal: Provide clients with legal services in minutes, not hours, at affordable prices
- Disintermediates legal services for corporations and individuals alike that are rote and mostly involve filing of paperwork such as financial filings, SEC filings, company registrations for LLC, S-Corps, partnerships, corporations, sole-proprietorships, and more. May eventually expand into other areas such as divorce filings and similar types of legal services.
AI Diversity Data Services
- Goal: Identify areas where the homogeneity of data or lack of diverse data sets is problematic for AI deep learning based on the client’s goals and objectives and AI best-in-class industry standards
- Provide recommendations and implement solutions to ensure the data sets used for training deep learning algorithms are representative of the client company’s target customer
AI Personal Assistant
- Goal: Provide customers with personalized recommendations based on individual preferences
- AI provides a one-stop interface that ranks, prioritizes, recommends and can perform actions based on incoming data from sources such as calendar, social media, online shopping, email, chats, texts, news, IoT-enabled home management devices, subscription entertainment, and more. The interface can be an application that resides on any internet-enabled device such as a smartphone.
AI Tax Preparation
- Goal: Provide customers and companies with tax filing services quickly and easily
- A hosted service solution that enables clients to have their taxes complied and filed automatically using AI technology
AI Financial Services
- Goal: Provide customers and companies with real-time AI-enabled trading, portfolio and money management
- A hosted service solution that enables clients with state-of-the-art investment management
AI Assisted Individual Health
- Goal: Enable individuals to proactive monitor their health based on all available data and state-of-the-art scientific research
- Provide consumers with health assessments based on any available data the individual is willing to provide (genomics, health history, medications, lifestyle, demographics, etc.) based on proprietary and anonymized health databases that are curated in real-time
AI Research Assistant
- Goal: Enable scientists, researchers, non-profits, academic institutions and similar information-based entities with the ability to augment their projects with AI-assisted research services
- Oncology, finance, pharmaceuticals, biotechnology, materials science, medical, energy, and more areas
AI Data Brokerage
- Goal: Provide companies with access to rent or buy data sets to train their deep learning systems
- Provide companies with appropriate data sets that are targeted and suitable for deep learning algorithms based on the client company’s criteria
AI On-Demand Now
- Goal: Offer subscription services for full-service AI for corporations and organizations that want to outsource the complexities of managing in-house AI
- Service includes due-diligence and scoping what areas of the company can be AI-enabled, and implementing a hosted-solution that can work in conjunctions with the client company’s business units and IT departments
AI Data Set Cleaners
- Goal: Help clients get higher-quality, deep-learning results with better data management
- Assess existing databases for suitability for AI algorithmic processing
- Perform any needed data translation/cleanup to prepare for deep learning use
- Provide secure data disposal and/or recycling
AI Data Traffic Cop
- Goal: Provide real-time AI-assisted monitoring of AI systems
- A hosted or in-house service that will examine the incoming data for AI deep learning training use, and flag data outliers for human management review that may be problematic
- Monitor the volume and quality of incoming data, flag for human management review when too low
- Provide data-rating quality services based on the client’s criteria and deep learning margin of error
Deep Learning Out-of-the-Box
- Goal: Enable companies to be more competitive with AI-assisted decision making and management
- Offer small to medium-sized companies AI solutions that are functionally and industry-specific
- Solutions can be cloud-based hosted, completely in-house, or a hybrid IT approach
- An affordable solution for companies that want state-of-the-art deep learning assisted solutions without investing in the infrastructure in-house
AI Ethics Quality Certification
- Goal: Provide “seal of approval” ranked in level of compliance with standards (e.g. Gold, Silver, Bronze)
- A third-party neutral ratings service that evaluates and ranks companies and organizations AI systems based on a number of factors including data bias, algorithmic decision-making, size and quality of input data sets, fail-safe mechanisms to prevent breaches in ethics
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