Verdict has listed five of the companies that trended the most in Twitter discussions related to disruptive tech, using research from GlobalData's Technology Influencer platform. The top companies are the most mentioned companies among Twitter discussions of more than 513 disruptive tech experts tracked by GlobalData's Technology Influencer platform during the second quarter (Q2) of 2022. OpenAI's text-to-image engine DALL·E 2 not understanding some mysterious language, and the company's release of GPT-3, a new generative language model, were some of the popularly discussed topics in Q2. Spiros Margaris, a venture capitalist and board member at the venture capital firm Margaris Ventures, shared an article on the artificial intelligence (AI) company, OpenAI, having found its text-to-image engine DALL·E 2 to show peculiar behaviours, including something that may be hidden or a fictional language. According to Giannis Daras, a PhD student at the University of Texas at Austin, the AI model produced an artwork when given the input "apoploe vesrreaitais eating Contarra ccetnxniams luryca tanniounons", which makes no sense to humans but the machine generated images of birds eating bugs constantly, the article detailed.

As a data scientist, I am curious about knowing different analytical processes from a probabilistic point of view. There are two most popular ways of looking into any event, namely Bayesian and Frequentist . When Frequentist researchers look at any event from frequency of occurrence, Bayesian researchers focus more on probability of events happening. I will try to cover as much theory as possible with illustrative examples and sample codes so that readers can learn and practice simultaneously. As we all know Baye's rule is one of the most popular probability equation, which is defined as: P(a given b) P(a intersection b) / P(b) ….. (1) Here a and b are events that have taken place.

Verdict lists the top five terms tweeted on artificial intelligence (AI) in Q4 2021, based on data from GlobalData's Technology Influencer Platform. The top trends are the most mentioned terms or concepts among Twitter discussions of more than 150 AI experts tracked by GlobalData's Technology platform in Q4 2021. Common functions of RPA, and AI and machine learning (ML) allowing organisations to streamline their operations, were some popularly discussed topics on RPA in Q4 2021. Giuliano Liguori, CEO of Kenovy, an IT services and consulting company, further shared an article on understanding the use cases and applications of RPA across industries. The article highlighted how RPA is used by businesses to streamline customer or employee boarding, updating customer relationship management (CRM), and other processes and to feed data into systems to automatically extract relevant data.

Artificial intelligence leads the top tweeted terms are the trending industry discussions happening on Twitter by key individuals (influencers) as tracked by the platform. The steps being taken to integrate artificial intelligence (AI) into healthcare and the use of AI techniques in the detection and management of various diseases were popularly discussed in Q2. Rafael Grossmann, a surgeon and clinical innovator, shared an article on two new companies namely Anumana and Lucem Health being launched by healthcare company Mayo Clinic that will collect and analyse patient data gathered from remote monitoring devices and tools to enable early detection and diagnosis of diseases. Mayo Clinic will launch a remote monitoring platform that will enable clinicians and physicians to make quicker and better decisions with the help of the collected and analysed patient data thereby speeding up the diagnosis before symptoms appear. It will also allow patients to take more control of their health and related decisions.

Verdict lists the top five terms tweeted on robotics in Q1 2021, based on data from GlobalData's Influencer Platform. The top tweeted terms are the trending industry discussions happening on Twitter by key individuals (influencers) as tracked by the platform. Robots capable of drywalling, managing vertical farms, and assisting in the US space programmes to reach Mars and beyond, were popularly discussed in Q1 2021. Sean Gardner, an executive board member and AI specialist at Resourceful Nonprofit, a provider of free or low-cost technology and training to other non-profit organisations, shared an article on how sensors and AI have advanced in automating the construction industry. Construction robotics company Canvas has built an AI-driven robot that can perform drywalling with human artistry and expertise.

Verdict lists the top five terms tweeted on robotics in November 2020, based on data from GlobalData's Influencer Platform. The top tweeted terms are the trending industry discussions happening on Twitter by key individuals (influencers) as tracked by the platform. The role of artificial intelligence (AI) in solving all human problems, its application in chemical research and how it is driving new business models and productivity potential were popularly discussed in November. According to an article shared by Spiros Margaris, a venture capitalist, AI can help solve the world's most challenging problems right from using it to create diagnostic equipment to building unmanned aerial vehicles. The article noted that although some fear that AI and robotics will usurp all human jobs, it is the basis for all technological innovations such as driverless cars, smart personal agents, and autonomous drones, among others.

Verdict lists the top five terms tweeted on big data in November 2020 based on data from GlobalData's Influencer Platform. The top tweeted terms are the trending industry discussions happening on Twitter by key individuals (influencers) as tracked by the platform. The massive adoption of artificial intelligence (AI) for driving innovations, top applications of AI, and risks associated with AI were popularly discussed in November. According to an article shared by Dr Omkar Rai, director general of Software Technology Parks of India (STPI), the massive adoption of AI is driving innovations in areas such as health research, data analytics, and robotic assistants, to name a few. Research from UnivDatos Market Insights, a market research firm, finds that AI's contribution to the healthcare sector is expected to grow at a compounded annual growth rate (CAGR) of 41% between 2018 and 2025 and will be worth $26.6bn by 2025.

ELI5 is a python package that is used to inspect ML classifiers and explain their predictions. It is popularly used to debug algorithms.

Machine learning leads as Verdict lists the top five terms tweeted on artificial intelligence in August 2020, based on data from GlobalData's Influencer Platform. The top tweeted terms are the trending industry discussions happening on Twitter by key individuals (influencers) as tracked by the platform. Techniques to leverage machine learning algorithms, application of the technology across sectors such as agriculture, and data protection techniques in machine learning, were some of the popularly discussed topics in August. According to an article shared by Dr Ganapthi Pulipaka, a chief data scientist, machine learning is one of the most popular techniques for analysing images. In other news, Jason Brownlee, a machine learning specialist, shared an article on the framework of data preparation techniques in machine learning. In some cases, the data of the machine learning model may itself suggest the data preparation needed.

Fintechs lead as Verdict lists the top five terms tweeted on disruptive tech in Q2 2020, based on data from GlobalData's Influencer Platform. The top tweeted terms are the trending industry discussions happening on Twitter by key individuals (influencers) as tracked by the platform. New technologies and increased collaboration with fintechs shaping payments and the role of fintechs startups in transforming financial services, and innovation, were popularly discussed in Q2 2020. According to an article shared by Antonio Grasso, a digital transformation advisor, new technologies and collaborations with fintehcs were defining the future of payments. For instance, payment companies were acquiring or collaborating with SaaS companies focused on serving such as students and restaurants, the article noted.