Creating a podcast

Digital Assistant tracks users’ habits, activities, and behavioral characteristics. Financial data and products can be personalized to meet and anticipate each user’s unique and changing needs. Each user will have one’s own digital personal financial assistant.  Artificial intelligence-based digital assistants can help banks handle their compliance monitoring by creating a natural language processing system to read through the legalities of regulations and reassemble the words into a set of computer-understandable rules. IoT, AI, VR, AR, and bots technologies are changing the way data is created, collected, interpreted, and communicated. It will be important to be able to detect and isolate infected or malicious AI programs immediately, and develop effective policy and laws for governing their development and use so that personal information is safeguarded and not misused.

New technique to begin identifying potentially problematic rare genetic variants that exist in the genomes of all people, particularly if additional genetic sequencing information is in the area of personalized medicine. The field of personalized genomics is unable to characterize the rare variants. It is because most of these abnormalities, specifically those that occur in "non-coding" parts of the genome that do not specify a protein, are not tested. Doing so would represent a major advance in a growing field that is focused on the sequencing and analysis of individuals' genomes. This research can scour reams of genetic data along with gene expression to predict the functions of variants from individual's genomes.

Precision medicine blended with genomics modeling helps in identifying the personalized medicine accurately and accelerates the treatment of the disease. In this method, blood-forming stem cells are gathered from the patient to develop blood and

immune cell of different types. Precision medicine blended with genomic modeling can be investigational. This type of technology helps in the revival of the patient’s condition and saving the patient from mortality. In this method, a changed viral vector referred to as lentivirus is used for adding them to the stem cells. This helps in improving gene therapy treatment.

Genomic data with AI and big data helps in improving the targeted treatments to a patient using personalized medicine. Genomic data analysis helps the doctor to think from scratch about the cure using genome data. Genetic testing is used for gathering genome data. It is getting cheaper and health care centers are using it to gather huge genomic data in volumes. Health care centers are using this data with.

Pharma, socioeconomic, and clinical data. Researchers and providers are the users of the data.

AI in Genomics helps to improve the precision medicine or personalized medicine. The goals of the personalized medicine are improving the dis-ease diagnosis, treatment effectiveness, and prognosis. Using AI in genomics, personalized medicine techniques help in detecting patient’s variability in genes. The environmental factors can be isolated from the genetic analysis using the symptoms of the patient. Using this analysis, doctors can customize the treatment and prevent the disease growing in the patient.

No-code AI/ML platforms require no knowledge of programming at all. They can be used by business uses. They need AI in their work and do not have data science and AI teams. You can use No-code solutions to build something simple quickly. You can build classifiers and recommender systems. They are being used in industry for aerial photography, autonomous driving, robotics, and medicine.

Voice-based analytics help enterprises to search for data and generate reports. This solution is based on speech recognition. The reports and results can be presented in different formats as per commands. The voice commands are based on natural language and keyword-based queries. The text-based queries are typically different from voice query length. Voice queries may not be questions but more as commands to search and generate results. The speech recognition and processing happen in steps like coding, synthesis, and recognition. The speech-based queries and commands can be connected or isolated words. The speech can be continuous and spontaneous. The speaker models help in identifying person-specific speech patterns. Speaker specific speech models are accurate and precise for voice-based analytics. Diarisation helps in partitioning the speech into homogeneous segments specific to speaker.

I would like to present the Radical rethinking of how we architect and deliver solutions in insurance. There is a trend for using No code Platforms in insurance. No code platform helps insurance companies to radically improve the time to market and delivery of Life, Annuities, Retirement, Accident, P&C consumer, commercial, and Speciality  products. Insurance companies can sell  their product across different  business lines and distribution channels. Digital Transformation in insurance sector can be enabled easily using no code platforms. Applications can be created using drag and drop actions and deployed using DevOps hence reducing total cost of ownership. APIs can be used to integrate with legacy systems. Application can have plugins to configure the APIs.

QKD as a service is based on key agreement protocols, McEliece Crptosystem and encrypted OTP.  Quantum key distribution algorithms will be quantum resistant.  Quantum Key distribution as a service will cater to multiple users and generate keys in parallel. Quantum key distribution signals can be generated simultaneously and sent using an optical channel. This is using the key management service pattern which is available in Google, Amazon and Microsoft cloud. The key states are managed through the key management services. The states are generated, used, rotated and destroyed. QKD as a service helps in avoiding attacks and errors. Qubits cannot be replicated because of the law of physics. The secret key are not saved in the Quantum key distribution data stores. The key security is improved because of not saving the quantum keys.

Quantum keys are based on the photon properties for sharing bits between source and destination. The quantum information is used for generation of the keys.  The interception of the key is identified as there is a change in the quantum state. The keys which are corrupted will be rejected. Randomness of the keys will be real and hack proof

abstract:

AI Platform monitors the preferences of customers, favorites of tourism, habits, events, and features of behavior. A passenger-filled pre-trip questionnaire could lead to a traveler-optimized map that reduces the possibilities for lost ho-hum travel times. Travel information and items can be customized to satisfy the distinctive and evolving requirements of each passenger. Every customer or traveler will have a private electronic travel agent of their own. Artificial intelligence can assist airlines, OTAs, travel providers, and GDS manage their booking schemes by developing a natural linguistic handling scheme for reading the travel information and reassembling phrases into a collection of computer-understandable regulations. IoT, AI, VR, AR and bots techniques change the manner in which information is produced, gathered, processed and conveyed to visitors, service representatives, and providers.

AI has enabled the travel applications to compete based on relevance, helping to personalize services, manage pre, in, and post-trip needs, predict future travel choices, and complete bookings for tourists. VR helps the tourist to see the airline seat would be, what rental car could look and feel like, what accommodations offer; what can he/she see and experience the city. Because of AR, the physical and digital world will be indistinguishable. AR will expand soon into tourist senses such as touch and smell. There is potential for terrorism facilitated by AVs which raises genuine fears for people’s security. AI, AR, and VR blended with Autonomous vehicles might mitigate the risk from a security point of view.

Modern adaptive learning management platform is an end-to end digital solution which has capabilities to create, distribute, edit and manage digital course from start to finish independent of the content.

The courses are becoming more effective and helping members retain information. Platforms are differentiating by providing better, faster ways to find relevant content, whenever and wherever learners need it. Modern learning management platform is an end-to-end eLearning solution which has capabilities to create, distribute, edit and manage entire courses from start to finish independent of the content.

Block chain is being used for learner’s on boarding, payments and rewards. New monetization models are evolving based on tokens from virtual currency offerings (ICO). The LMS provide a platform for educating professionals, learners and publishers about smart contract, token security, token mechanics, token allocation, white paper and token deployment.

Regarding Corona and Covid 19

 AI - Deep Learning based platform is used for simulating the oil field, planning and predicting the oil produced in the Oil Industry supply chain using forecasting techniques. Machine Learning is used in predictive maintenance, forecasting, analysis, energy trading, buy/sell, trade, risk management, and optimization. The Oil & Gas industry is divided into divisions which are the upstream, downstream and midstream. Machine Learning Analytics is used in optimizations for upstream, downstream and midstream business process. The business processes are related to exploration, extraction, refining, transporting of oil and gas by oil tankers and pipelines, and marketing of petroleum products.