In 2021, the increase in AI usage across businesses will create $2.9 trillion of business value and 6.2 billion hours of worker productivity. AI startups got record funding of $7.4 billion in Q2 of 2019. By March 2019, there were 279,145 AI patent applications in the U.S.
“Artificial Intelligence is the ultimate buzzword and the smartphone industry is incorporating the same in their devices!”
Any industry, Artificial Intelligence (AI, hereinafter) has taken its seat in the front row!
Almost every industry is going berserk by the advancements in the field of AI!
The reasons can be many but the powerful…
AIOps uses artificial intelligence to simplify IT operations management and accelerate and automate problem resolution in complex modern IT environments.
AIOps, (for artificial intelligence for IT operations) is the application of artificial intelligence to enhance IT operations. Specifically, AIOps uses big data, analytics, and machine learning capabilities to do the following:
As per Statista Worldwide spending on blockchain solutions is expected to grow from 4.5 billion U.S. dollars in 2020 to an estimated 19 billion U.S. dollars by 2024.
A blockchain is a distributed, decentralized, irrevocable ledger that is used to store cryptographic data.
While any traditional database can hold this type of data, blockchain is special in that it is completely decentralized. Rather than being kept in a single location, a centralized administrator keeps numerous exact copies of a blockchain database on several computers distributed throughout a network. These standalone computers are known as nodes.
AI, on the other hand…
“A research study by Everage says, 4 in 10 marketers (40%) employ machine-learning personalization, using algorithms and predictive analytics to dynamically present recommendations and experiences tailored to individual audience members”
Gone are the days when we just talked about the buzz words such as “Artificial Intelligence” & “Machine Learning”.
These days, we are using that technology knowingly or unknowingly,
Whether it’s getting recommendations from e-commerce websites or even getting an ETA of your favorite dish that you ordered from home!
Machine Learning has the potential to solve and enhance human lives by augmenting the existing technologies with a “predictive touch”
AIOT: HOW THE INTERSECTION OF AI AND IOT WILL DRIVE INNOVATION FOR DECADES TO COME
AIoT is any system that integrates AI technologies with IoT infrastructure, enhancing efficiency, human-machine interactions, data management, and analytics.
IoT enables devices to collect, store, and analyze big data. Device operators and field engineers typically control devices. AI enhances IoT’s existing systems, enabling them to take the next step to determine and take the appropriate action based on the analysis of the data.
By embedding AI into infrastructure components, including programs, chipsets, and edge computing, AIoT enables intelligent, connected systems to learn, self-correct and self-diagnose…
The marketplace for computer vision is anticipated to exceed $48.6 billion by 2022, making it a very lucrative UX technology.
Computer vision is a branch of computer science that aims to develop information technologies capable of processing, analyzing, and interpreting graphical input (images or videos) in the same manner that people do. The notion of computer vision is centered on training computers to analyze and comprehend images at the pixel level.
Pattern recognition is the foundation of today’s computer vision algorithms. We train computers on huge amounts of visual data — computers analyze photos, identify things on them, and look…
“ After the Covid-19 pandemic hit , many researches emerged suggesting the use of machine learning models to diagnose Covid-19 from medical images. But, a recent systematic review by University of Cambridge researchers suggests that as a “too flawed” way and “unsuitable” for use in patients! “
If you’re from a Data Science / ML (Machine Learning) background, you must’ve regularly heard about ML having the potential to detect “so-and-so” disease. …
Everyone in the field of Artificial Intelligence knows what neural networks are. And most practitioners know the huge processing power and energy consumption needed to train pretty much any noteworthy neural network. That is to say, for the field to develop further, a new type of hardware is needed.
Some experts consider that the quantum computer is that hardware. But even though it holds great promise, quantum computing is a technology that will take many decades to develop. Physics theories are not yet mature enough to enable the development of useful and cost-efficient devices.
Neuromorphic computing, on the other hand…
The forecasted AI annual growth rate between 2020 and 2027 is 33.2%.
Google Cloud revealed the global launch of Vertex AI, a regulated machine learning (ML) platform that helps businesses to speed the rollout and management of artificial intelligence (AI) models, today at Google I/O. Vertex AI takes approximately 80% lesser lines of code to train a model than competing platforms, allowing data scientists and ML engineers of all experience levels to apply Machine Learning Operations (MLOps) to effectively design and operate ML projects over the entire software lifespan.
The intention of Vertex AI is to have an environmentally friendly…
Just 2 years ago, Gartner predicted that 85% of AI projects won’t be able to be delivered. That means, out of 20 AI projects, only 3 will succeed! Scary isn’t it?
How many of you have heard managers and tech leads planning to bring Artificial Intelligence (AI) or Machine Learning (ML) into their projects? I’m pretty sure there are many, but when it comes to their knowledge of AI or ML! There comes the question!