Plotting

Data Mining


How to Choose a Major for Artificial Intelligence: Degree Research Guide

#artificialintelligence

Artificial intelligence (AI) offers plenty of opportunities in the job market, as many AI companies try to solve real-world problems through this field of practice. AI's growth also comes with a wide range of options available to find the best majors for artificial intelligence. When it comes to what degree in artificial intelligence should you pursue, keep reading to learn how to choose a major for artificial intelligence and know the possible AI career paths that are open to you after graduating. A career in artificial intelligence provides tech professionals with competitive pay, job security, and continuous learning and development. The Bureau of Labor Statistics (BLS) reports that the average annual salary for computer and AI professionals is $126,830.


How Big Data, AI, IoT and Deep Learning Are Powering Modern Healthcare

#artificialintelligence

Big data, artificial intelligence (AI), internet of things (IoT) and deep learning (DL) are revolutionizing modern healthcare post pandemic. After having made remarkable improvements in finance, retail and marketing, big data, artificial intelligence, internet of things (IoT) and deep learning are now transforming healthcare. The volume of data involved in healthcare studies and analysis makes it a perfect use-case for these ground breaking technologies. Healthcare industry handles an immense load of data that is piling up every day. Sooner or later, we will need big data tools to transform healthcare information into relevant insights that can help the development of health services.


Importance of Fearlessness to Exploit the Potential of AI - DataScienceCentral.com

#artificialintelligence

"Courage is not the absence of fear, but rather the judgment that something else is more important than fear. The brave may not live forever, but the cautious do not live at all" – Philippe Renaldi, The Princess Diaries (2001) Yes, it is always easier to apply advanced technologies such as Big Data, AI / ML, and Edge Analytics to optimize an existing process. But what if that process is out-of-date, or worse yet, wrong. Is your organization applying AI / ML to accelerate your organization's race to irrelevance? Here is a damning example of what can go wrong when an organization focuses on optimizing an existing flawed process.


NoCode Journal - NoCode Products Within AI and ML

#artificialintelligence

You may have heard about artificial intelligence (AI) and machine learning (ML), and are wondering how they can help you. The capacity to control tools in the Artificial Intelligence (AI) and Machine Language (ML) areas with NoCode opens a plethora of possibilities for creators as well as business teams. We'll talk about NoCode solutions that may help you use AI and ML to create sophisticated applications without any programming knowledge in this blog post. You'll be able to develop complicated apps without any coding expertise using these tools! As we venture further into this area, we will continue to update this article. Obviously AI is the fastest and simplest data prediction tool in the world.


XO Propels Private Aviation into the AI Era

#artificialintelligence

XO, part of Vista, the world's first private aviation ecosystem, published a report outlining how AI, machine learning, data design, and predictive analytics are allowing the company to create a more accessible and affordable future for private aviation. The XO platform is a sophisticated, complex suite of proprietary technology tools that continually monitor and manage occupancy, positioning, and demand. This has allowed XO to transform a legacy industry into one that is transparent, efficient, and accessible, making its membership classes and benefits more meaningful and valuable, thanks to the underlying architecture that links them all. XO's accomplishments are manifest across these four integrated and co-dependent operational, product and service areas. XO continues to innovate and propel an aviation ecosystem for an open future, more widely available than ever before, transparent, efficient, and more sustainable.


The Value of Artificial Intelligence in Customer Data Platforms - insideBIGDATA

#artificialintelligence

In this special guest feature, Aditya Bhamidipaty, Founder & CEO, FirstHive, discusses how businesses today face an expanding gap between the value their customers' data can potentially provide and the true value their CDPs can create. AI systems can help close this gap by enhancing the productivity of human workers, so long as those workers are trained how to use those systems effectively. Aditya has been a serial technology entrepreneur solving problems for marketers. His stewardship has helped FirstHive to carve a name for itself in the marketing technology industry, delivering ROI to some of the world's largest brands on their marketing initiatives. The role of marketing is synonymous with the notion of customer data.


Onfido expands biometrics and AI fraud threat mitigation platform capabilities

#artificialintelligence

Onfido has added four new products to its biometrics and artificial intelligence (AI)-powered identity verification and authentication service known as the'Real Identity Platform,' promising superior results and performance. The update is comprised of the Onfido Verification Suite, Onfido Studio, Onfido Smart Capture, and Onfido Atlas AI. The Verification Suite is a curated library of trusted data sources and identity verification services to offer a user experience tailored around specific fraud and regulatory use cases, compliance requirements, global needs, risk appetite, and business objectives. It is integrated into Onfido's document and biometric identity verification solution and carries trusted data verification sources like a U.S. social security number and sanctions watchlist, and fraud detection verification through geolocation and phone verification among other options. Studio is described as an orchestration software built around a no-code platform and analytics tools for businesses.


How Predictive Sales Analytics Works and Why It Matters

#artificialintelligence

The technology behind this is called "predictive analytics" or, in sales terms, "predictive sales analytics". In this article, you will learn how you can tell whether your company needs an ERP system with AI to predict customer behaviour. We will also discuss the advantages of using this technology, how it works, and what is needed for it to work. Predictive sales analytics is a specialized field that aims to make sales forecasts as precisely as possible. Various statistical and mathematical methods are available for this purpose.


Why AI-enabled decision-making is the next step in the supply chain digitalisation journey

#artificialintelligence

As a result, companies have gone through a decade's worth of digital transformation in just a matter of months, with the pandemic forcing them to refresh archaic processes with AI, machine learning, and data science technologies. Such technological advancements will continue to evolve and further establish themselves as a critical component to managing complex logistical landscapes – from improving efficiency and mitigating the effects of a global labour shortage, to identifying more robust and dependable ways to move commodities. In a world where uncertainty is the only certainty, AI-enabled order and inventory visibility across shipments will also be vital to'keep the wheels in motion.' Most importantly, to provide real-time updates on changes to arrival times and to identify potential disruptions before and as they occur. Take the recent congestion issues at the Port of Los Angeles, for example.


Pros And Cons of AI In Manufacturing DataScienceCentral.com

#artificialintelligence

The fourth industrial revolution has been a game-changer, with the global economy's expansion driving the adoption of new technologies across sectors. Manufacturers are using AI software in product design, production, supply chain, and logistics. AI analytics and data are helping in improving product quality and efficiency. Advances in machine learning, artificial intelligence (AI), and Big Data have initiated an algorithm-based era. Today companies are able to automate multiple tasks, cutting down on errors as well as downtime and expenditures associated with them using AI.