WHAT’S GOING ON WITH IT HIRING?

| June 8, 2016

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CompTIA, an industry group, said about 96,000 IT jobs were lost last month across all industries, not just the technology sector. That figure includes the impact of the approximately 37,000 telecommunications jobs sidelined by the Verizon strike, which was settled this month. But it was a rough month, by some estimates.

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BehavioSec

The company’s Behavioral Biometrics platform is widely deployed across Global 2000 companies for its proven ability to dramatically reduce account fraud and data theft. Founded in 2008 out of groundbreaking academic research, BehavioSec technology allows companies to continuously verify digital identities with superior precision in real-time.

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Top Artificial Intelligence Innovation Trends for Businesses

Article | August 25, 2021

In recent years, the necessity has turned artificial intelligence (AI) from a mere spark to a mighty wildfire. Today, it has virtually impacted almost every bit of industries worldwide and has shown some truly promising trends. The critical factor responsible for the rise of AI in 2021 is the never-ending innovations in the technological world. As the nations across the globe are fighting their own battles against the spread of COVID-19, new tech trends are flourishing. And, on top of all, AI is playing a significant role in saving millions of lives and eventually boosting the economy. As a result, the augmentation of human intelligence into systems has become the primary agenda of all businesses, be it start-ups, mid-sized companies, or already established market giants. The run for developing top-notch AI solutions is getting faster and more intense as businesses get thirstier for offering competitive advantages to the consumers. No wonder why artificial intelligence innovations are on the up and up! This article sheds light on current hot trends in artificial intelligence innovation that businesses should be aware of. By doing so, they can simplify the process of error-free AI integration and deployment and reap material gains and several other tangible benefits. So, without further ado, let’s dive right into the top AI innovation trends in 2021 that are proving to be a much-awaited breakthrough. Artificial Intelligence | Latest Development & Trends AI, for businesses, is a game-changer for apparent reasons like boosting revenue, improving customer experience, growing efficiency, reducing operational costs, etc. To reap all the benefits of AI, businesses must be well aware of the latest advances in artificial intelligence. It will help them put the full range of AI and similar technologies like natural language processing and machine learning into their processes and expect a remarkable transformation in revenue, growth, productivity, and customer experience. AI is the New Normal for Enhanced Data Privacy and Cyber Security Malicious activities are one of the biggest problems businesses face. They have gotten even more prominent with the rise of technology. And, note that they will be a threat in the future as well. Thankfully, artificial intelligence is there to the rescue. The recent advances in AI make it even more powerful to distinguish precisely between fraudulent and legitimate transactions. Moreover, it can identify the anomalies in cloud data access and report them immediately. Artificial Intelligence in Robotic Process Automation (RPA) The significant use of Robotic Process Automation is to identify repetitive tasks and automating them. Therefore, it is a great way to improve the workflow, and many businesses use it for RPA’s real-world applications. AI, when integrated with RPA, can step up the game of process handling and automation. As per the current market analysis, insurance companies use RPA the most. Many of them are adopting AI to automate the claim processes without much human intervention. Real-Time Applications of Natural Language Processing for Better User Experience Companies need platforms that can bridge the gap between their intent and customer needs. As the demand for this grows, 2021 is seeing significant developments in natural language systems. While AI is at the core of this trend, natural language processing allows businesses to come up with better search results, virtual assistants, and tremendously sophisticated chatbots that, in turn, results in more business value creation and outstanding customer experience. Be Ready for Advanced AI Hardware The artificial intelligence future is incomplete without the evolution of AI hardware, particularly AI chips. Even though a regular processor can handle specific AI tasks, it's not as powerful as a customized AI processor. Specific systems power AI-specific chips to optimize deep learning performance. For the Businesses that need to operate a vast network of data centers to satisfy commercial cloud service needs, the applications of AI chips can be enormous. It can unlock more business value and can ease the internal company operations. Quantum Computing to Supercharge Real-World AI Applications Most businesses still count on standard binary-based computers to process the datasets. However, it has limitations. With the rise of quantum computing in recent years, the dream of achieving quantum supremacy is about to turn into reality. It has already come true in the form of a recently developed Jiuzhang computer. Integrating AI with quantum computing can eliminate the limitations in dataset processing. It allows businesses to run an innovative machine learning model through a relatively more significant dataset and develop more precise and practical results for real-time settings. Apart from this artificial intelligence breakthrough, several other factors like machine learning innovations are playing a crucial role in the development of quantum computing. Frequently Asked Questions What are the latest top artificial intelligence inventions businesses can benefit from? Here are the latest AI inventions of 2020 and 2021 you can use for the growth of the business: BrainBox AI Embodied Moxie TrailJectory Hadoop Ecosystem Meeting Owl What are the industries that must integrate AI to keep up with the market demands? If you own a company that deals with one or more of the following, you must look forward to integrating AI into your process: Customer Service Media and Entertainment Education Transportation Healthcare Manufacturing Marketing How are deep learning innovation trends helping the current world? AI is proving to be extremely useful in the current year. Here are the reasons: Artificial intelligence is helping in the fight against the COVID-19 pandemic. AI-driven biometric solutions are helping businesses in workforce and security management. Better forecasting for businesses with the help of ML-based time series analysis. Improved efficiency and security in smart systems through AI and IoT integration. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "What are the latest top artificial intelligence inventions businesses can benefit from?", "acceptedAnswer": { "@type": "Answer", "text": "Here are the latest AI inventions of 2020 and 2021 you can use for the growth of the business: BrainBox AI Embodied Moxie TrailJectory Hadoop Ecosystem Meeting Owl" } },{ "@type": "Question", "name": "What are the industries that must integrate AI to keep up with the market demands?", "acceptedAnswer": { "@type": "Answer", "text": "If you own a company that deals with one or more of the following, you must look forward to integrating AI into your process: Customer Service Media and Entertainment Education Transportation Healthcare Manufacturing Marketing" } },{ "@type": "Question", "name": "How are deep learning innovation trends helping the current world?", "acceptedAnswer": { "@type": "Answer", "text": "AI is proving to be extremely useful in the current year. Here are the reasons: Artificial intelligence is helping in the fight against the COVID-19 pandemic. AI-driven biometric solutions are helping businesses in workforce and security management. Better forecasting for businesses with the help of ML-based time series analysis. Improved efficiency and security in smart systems through AI and IoT integration." } }] }

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7 tools and services for real-time collaborative coding

Article | April 1, 2020

Most of the time, collaborating on a software project means working with tools like Git—taking turns making modifications, then reconciling the final product into a single codebase. But live collaboration on code—two or more people working on the same file in real time—has become far more viable in recent years. You’ll still want to have one person sign off on the final code, but being able to see other people’s edits as they happen is a great boon for distance learning, crunch-time work, and peer review.

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How Google.org accelerates social good with artificial intelligence

Article | March 11, 2020

After realizing the potential to affect change while studying systems engineering at the University of Virginia, Brigitte Hoyer Gosselink began her journey to discover how technology might have a scalable impact on the world. Gosselink worked within international development and later did strategy consulting for nonprofits before joining Google.org, where she is focused on increasing social impact and environmental sustainability work at innovative nonprofits. We talked to her about her efforts as head of product impact to bring emerging technology to organizations that serve humanity and the environment.

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IN AI (CAN) WE TRUST?

Article | April 20, 2021

Artificial intelligence (AI) is the best thing to happen to our lives. It helps us read our emails, complete our sentences, get directions, do online shopping, get dining and entertainment recommendations, and even make it easier to connect with old friends or make new ones on social media. AI is not only skilling itself at many human jobs; it is also making decisions for us. The question is whether these decisions can be trusted. To elaborate, does AI-aided recruitment facilitate or reject the right candidate selection? Is the Tinder match made in heaven or by the algorithm? Who is being sent to jail — criminals or innocents predicted by AI bias? As humans, we come from a diverse range of sociopolitical, racial and cultural backgrounds. The idea of what is right — and the mere question of morality itself — changes depending on the context. How does the AI decide what is right — and for whom? Faced with the decision to save the driver in a smart car or the pedestrian, who does the onboard AI choose? How does it arrive at this decision? "Debiasing humans is harder than debiasing AI systems," believes Olga Russakovsky, an assistant professor in the Department of Computer Science at Princeton University A Question Of Ethics Before AI can think for humans, humans have to think for AI. Essentially, the ethics of AI technology is the embodiment of its creators' ethics. And this is where the "ethical AI conundrum" begins. AI is good and evil, but the truth is that the underlying concern that dominates every invention or innovation is human bias. There is enough evidence pointing in this direction, the recent and most prominent one being Apple. In 2019, the company's new credit card was accused of offering some women a lower limit despite them having better credit scores than their male spouses. Of such intensity was the bias that Apple co-founder Steve Wozniak noted that his wife got a lower credit limit than he did despite the fact that they had "no separate bank or credit card accounts or any separate assets." AI is open to biases because it makes decisions based on its human creators' information, and this information contains biases. Many of the creators are males who grew up in the western world, which can predispose them to individual communities and geographies. There has been enough debate around COMPAS (Correctional Offender Management Profiling for Alternative Sanctions), an algorithm that courts in the United States devised to anticipate the likelihood of repeat offenders. The algorithm indicated twice as many false positives for black offenders (45%) as white offenders (23%). Garbage In, Garbage Out TechTarget defines the concept of "garbage in, garbage out" this way: "The quality of the input determines the quality of output." Apart from humans, bias can also permeate a machine's intelligence. After all, as B Nalini noted, it is humans who frame the problem, train the model and deploy the system. Even with unbiased data, there is no guarantee of accuracy, as the very process by which machine learning models achieve this can yield biased outcomes. Teaching AI Morality In a 2001 article, futurist and inventor Raymond Kurzweil stated that our view of progress is linear. The more we adapt to change, the rate of change itself increases exponentially. We may expect to see 20,000 years of progress in the decades encompassing the 21st century. However, even while we acknowledge the exponential growth, we must also accept that AI is a relatively new technology. The word itself came into existence a mere 60 years ago, meaning we are closer to the beginning or maybe even in the middle rather than the end. AI is just a toddler, learning the differences between moral right and wrong and inheriting its creators' biases. It still struggles to do much more than detect statistical patterns in large datasets. Human understanding and intelligence extend far beyond static ideas of right and wrong, the rules themselves changing according to sociocultural and historical contexts. If, as humans, we are still struggling with morality, it is rather presumptuous of us to expect a machine — that we have created — to outshine us in this regard. As the Harvard Business Review noted, there are two conclusions. The first involves acknowledging how AI can help improve the process of human decision-making itself by predicting outcomes from available data while disregarding variables that lead human decision-makers to generalize and segregate without even realizing their inherent biases. The second alludes to a more complicated need to technically define and measure the ever-fleeting idea of "fairness." Conclusion Bias is as fundamental as the air we breathe or the environment we live in, and it is prevalent among us all, either as individuals or as a community. At this point in human history, the world is getting ready to industrialize AI tech and deploy it more widely. Thus, addressing the "inherent" AI biases at this moment becomes exceptionally critical. AI is just a toddler, learning the differences between moral right and wrong and inheriting its creators' biases. If, as humans, we are still struggling with morality, it is rather presumptuous of us to expect a machine that we have created will outshine us in this regard Just as a pet blindly mirrors its trainer's instructions and personality, AI mirrors its creators' input, biased or not. Thus, the root of the problem goes far deeper than AI ethics but becomes a question of human morality and the concept of "fairness" itself and how it can be defined and measured. "Debiasing humans is harder than debiasing AI systems," believes Olga Russakovsky, an assistant professor in the Department of Computer Science at Princeton University and co-founder of the AI4ALL Foundation, which works to increase diversity and inclusion within AI. "I am optimistic that automated decision making will become fairer," she mentioned in an interview with Wired. First printed in Forbes on Feb 9, 2021Enable GingerCannot connect to Ginger Check your internet connection or reload the browserDisable in this text fieldRephraseRephrase current sentenceEdit in Ginger×

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Spotlight

BehavioSec

The company’s Behavioral Biometrics platform is widely deployed across Global 2000 companies for its proven ability to dramatically reduce account fraud and data theft. Founded in 2008 out of groundbreaking academic research, BehavioSec technology allows companies to continuously verify digital identities with superior precision in real-time.

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