Lee Bressler Explores Soaring AI, Chip Market
Wall Street equity fund portfolio manager Lee Bressler looks toward a rapid surge forecast for today’s soaring artificial intelligence chip market during the next five years.
With Wells Fargo Securities predicting that the artificial intelligence chip industry will ‘soar’ over the course of the next five years based on recent projections made by global research and advisory firm Gartner, equity fund portfolio manager Lee Bressler explores this cutting edge and rapidly surging market, on track to be worth an estimated $34.3 billion by 2023.
“Wells Fargo Securities’ analysts have cited projections made by Gartner to calculate an anticipated 52% annual rise in AI chip sales between now and 2023,” explains Bressler, a keen proponent of artificial intelligence and machine learning technologies.
This 52% annual growth, he explains, would see the AI chip market grow from a value of $4.27 billion in 2018 to a staggering $34.3 billion by 2023. “From huge data centers to smart home devices, the demand for increasingly powerful AI chips is only going to grow in coming years,” adds the equity fund portfolio manager, “not to mention the longer-term importance of highly customized AI chips.”
Indeed, Wells Fargo Securities’ analysts, too, point toward more specialized, custom chips being an area of particularly significant growth between now and the early-to-mid-2020s, with the investment bank’s calculations highlighting Amazon.com and Alphabet’s Google, both of whom are currently developing their own custom AI chipsets.
“Elsewhere, private chip companies including Graphcore, Cambricon, Wave Computing, Cerebras, Syntiant, and Mythic are simultaneously contributing to their own multi-billion dollar independent AI-focused chip industry, with the sector having already raised an estimated $1.2 billion through venture capital funding,” adds Bressler.
While established firms such as Intel and NVIDIA already exhibit incredible product breadth, start-ups such as Cerebras and Mythic are shaping up to be formidable rivals, he suggests, potentially capable of achieving a competitive advantage thanks to their collective and broadening common platform approach.
“Accordingly,” adds Bressler, wrapping up, “we may be looking at a distinctly different AI chip market landscape from today even as soon as the very early 2020s.”
Lee Bressler is an established equity fund portfolio manager with a background in equities and hedge funds primarily focused on bottom-up fundamental analysis. Bressler has previously served as both a senior analyst and chief information officer. Currently based in New York City, Bressler’s other interests alongside artificial intelligence and machine learning technologies include theater, baseball, and electronic music.
With artificial intelligence becoming ever more widespread, equity fund portfolio manager Lee Bressler addresses a number of common misconceptions.
A combination of machine learning, deep learning, and natural language processing technologies, artificial intelligence is already changing how millions of companies around the world do business each day. As artificial intelligence now continues to become more prevalent in home environments, Lee Bressler, a New York City-based equity fund portfolio manager and a fan of the technology, addresses a number of common myths and misconceptions surrounding the field.
“Artificial intelligence is becoming increasingly crucial to business success,” suggests Bressler, “so it’s important that those who are unfamiliar with the technology gain a better understanding as it becomes more widespread.”
This becomes more important still, says the equity fund portfolio manager, as advances in artificial intelligence technology begin to grow more popular in home environments, through the use of devices such as Amazon’s Echo, HomePod by Apple, and Google Assistant.
“Arguably the biggest myth right now,” reveals Bressler, “is that artificial intelligence works in the same way as the human brain.”
This, he says, simply isn’t true. “Right now, artificial intelligence is simply a software solution designed, in the most straightforward sense, to solve problems,” the New Yorker explains.
This means that while artificial intelligence may appear smart, or, indeed, truly intelligent, and while the technology is inspired by the human brain, it is not on par, nor is it close to being on par, with human levels of intelligence, according to Bressler. “Machine learning, in particular, has been largely inspired by our own brains, but the two are by no means equivalent,” he adds.
Another myth which Lee Bressler is keen to discredit is that artificial intelligence is capable of learning on its own. “This is another popular misconception,” he explains, “because human intervention is required 100% of the time to successfully develop artificial intelligence-based systems.”
“Furthermore, more often than not,” Bressler continues, “the required intervention needs to come from experienced human data scientists, meaning that any significant advances within artificial intelligence are likely to remain dependent on highly qualified human input.”
Artificial intelligence, he says, cannot truly learn entirely on its own. “At least, not for now,” adds the investment industry professional.
Third among the commonly purported myths which Bressler is eager to debunk is that not all businesses require an artificial intelligence strategy. “Again, this just isn’t true,” he states, “and each and every business absolutely must put some thought into how artificial intelligence has the potential to affect them.”
Organizations which fail to do so, says Lee Bressler, will almost certainly find themselves at a competitive disadvantage in the coming years.
“It will, at some point,” he concludes, wrapping up, “absolutely impact all of our lives, both professionally and personally, so it’s imperative that we take artificial intelligence seriously now and, where necessary, have strategies in place for how best to utilize and benefit from this rapidly evolving technology going forward.”
New Yorker and equity fund portfolio manager Lee Bressler looks toward the next decade of advances within machine learning and artificial intelligence technologies.
Tech experts today agree that from autonomous drone technology to self-driving vehicles and voice-controlled smart homes, artificial intelligence, machine learning, and associated advances in both fields are set to dominate the tech sector during the next decade. An equity fund portfolio manager from New York City, Lee Bressler echoes these sentiments as he explains what could be in store over the course of the coming 10 years.
“As it stands today, we’re still a long way from fully realizing the true potential of artificial intelligence and machine learning,” suggests Lee Bressler, “but the progress we’ve seen in recent years is nothing short of incredible and really sets the tone for what’s to come.”
One of the most significant advantages of artificial intelligence and machine learning is the ability of the two technologies to solve problems and generate new, previously unthought-of ideas. “Within 10 years, it’s highly likely that we’ll see artificial intelligence, machine learning, and robotics seamlessly assimilated into all manner of business operations, massively impacting both efficiency and development processes,” says Bressler.
Other benefits expected to be fully realized within the next decade include improvements to healthcare, the facilitation of improved sustainability to overcome various environmental issues, and blending of the lines between physical and digital worlds, according to the equity fund portfolio manager.
“From instantly assessing complex patient data, to tracking the movement of populations globally, to help with sustainability and reduce environmental impact, machine learning and artificial intelligence are also expected to begin successfully blurring the line between digital and physical during the same period,” says Bressler.
“The wider utilization of location-focused technologies, for example, will likely see the physical and digital worlds blend together much more seamlessly,” he suggests.
Throughout the next 10 years, says Bressler, artificial intelligence and machine learning technologies will change how people interact with their surroundings forever. “Autonomous drones, for example,” he says, “will likely be flying around, interacting with us and taking care of our needs, from surveying land and delivering packages to attending to emergency calls.”
Ultimately, Lee Bressler says that artificial intelligence and machine learning are destined to make both individuals and their businesses smarter during the next decade, as computational power grows, and the technologies themselves become more intelligent.
“Taken in the right direction,” he adds, wrapping up, “I believe that artificial intelligence and machine learning will become inherent to society within 10 years, so it’s vital that people begin to embrace and learn from the technologies and their countless potential applications sooner rather than later.”
Lee Bressler Continues to Champion AI Revolution
Investment industry professional Lee Bressler shares his thoughts on the continuing artificial intelligence revolution.
NEW YORK, NEW YORK, UNITED STATES, March 8, 2019,/EbizNewswire/ — As the buzz surrounding artificial intelligence and machine learning continues to intensify, now is a pivotal time for these and other associated burgeoning technologies according to Lee Bressler, an equity fund portfolio manager based in New York City.
“Last year was something of a pivotal time for AI and machine learning,” explains NYC-based Bressler, “and continuing advances within the field could make this year something of a goldmine in terms of utilizing and applying these and associated technologies.”
Bressler believes it’s a market that is about to truly explode. “Right now, especially in terms of machine learning, there isn’t a single industry out there that wouldn’t benefit from adopting one or more aspects of the technology,” suggests the highly experienced portfolio manager.
Indeed, from the automotive industry to the healthcare sector, machine learning and artificial intelligence technologies are already revolutionizing countless aspects of businesses and industries across the board. “Take a look at the stock market, for example,” says Bressler, “where a group of researchers recently employed machine learning and artificial intelligence technologies to successfully predict market performance.”
This, he says, was achieved solely based on publicly available documents, demonstrating perfectly the true power of AI, particularly when paired with constantly evolving machine learning processes and practices. “Machine learning and AI technologies today allow us to, in essence, accurately predict the future by utilizing data collected in the past,” adds Bressler.
He continues, “From our homes, where many of us now routinely rely on devices such as Amazon’s Alexa, HomePod by Apple, or Google Assistant, to growing applications within all aspects of business, AI is becoming a part of day-to-day life almost right across the board.”
So, what’s next? “Deep learning,” suggests Lee Bressler as he points toward numerous ways in which hardware accelerated computing is already beginning to influence businesses and their processes. “Studies have shown that deep learning frameworks and neural networks—computer systems which are modeled on the human brain and associated nervous system—are able to reproduce essentially any function imaginable,” says the New Yorker.
With computers now faster and more powerful than ever before, and with large enough data sets now readily available, it’s today possible—according to Bressler—to achieve what would’ve been almost unimaginable just a few short years ago.
“Deep learning and artificial intelligence technologies have never been more valuable or relevant to business success than they are right now, and will only become more important as the AI revolution continues to gather pace,” he adds, wrapping up.
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Lee Bressler Points Out Distinctions Between AI & Automation
Financial services industry professional Lee Bressler addresses the importance of distinguishing between artificial intelligence and process automation.
With machine learning and AI two incredibly hot topics throughout 2018 and going into 2019, Lee Bressler looks at the key differences between groundbreaking artificial intelligence and more straightforward process automation as he debunks a number of myths surrounding the technology.
“There has been much talk about the ways in which artificial intelligence could replace current workers in the not-too-distant future,” says Bressler, an equity fund portfolio manager based in New York City.
Indeed, according to researchers at the University of Oxford, a collegiate research university in Oxford, England, as many as 47 percent of jobs in the United States could be at risk of replacement by artificial intelligence, robots, and other forms of automated technology by 2040.
According to Bressler, however, the threat may not be as real or as significant as it seems. “There’s something of a misconception that artificial intelligence and associated technologies will lead to huge company layoffs and massive spikes in unemployment,” he explains.
“While there is little doubt,”Lee Bressler continues, “that these technologies will ultimately replace certain job roles and tasks, the panic surrounding artificial intelligence is largely unnecessary.”
First and foremost, people must take into consideration the difference between artificial intelligence and more straightforward task automation, says Bressler. “There needs to be more clarity between what constitutes artificial intelligence and what simply amounts to automation,” he explains, “whereby which automation employs technology solely to tackle low level, often highly repetitive tasks, which may or may not currently be handled by human workers.”
Artificial intelligence, on the other hand, according to Lee Bressler, is much smarter. “Artificial intelligence works to pull together new insights, identify patterns, predict behaviors, and enhance customer experiences, among other things,” he explains, “but still relies heavily on data engineers and data scientists to maintain and refine the necessary algorithms.”
He continues, “While artificially intelligent solutions are capable of handling vast amounts of data more accurately and more efficiently than a human counterpart, as well as tackling many other tasks, they will always need intervention from humans.”
Accordingly, Lee Bressler says that while automation will undoubtedly replace certain roles, increased efficacy of processes as a result will open up new roles, and create demand for those skilled and in a position to oversee such matters.
“Ultimately,” he adds, wrapping up, “the true role of artificial intelligence right now, and in the immediate future, is to augment human capabilities and intelligence, and not simply to replace the
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Lee Bressler Looks At Emerging Technologies Within Financial Services
New York City equity fund portfolio manager Lee Bressler explores emerging financial services sector technologies.
From blockchain and digital assets to artificial intelligence and robotic process automation, equity fund portfolio manager Lee Bressler from New York City explores emerging technologies and how they’re changing the landscape of the financial services industry.
“Cutting edge and emerging technologies are no longer merely an important consideration for the financial services industry,” suggests Bressler, “they’re a necessity.”
As multi-billion dollar global financial services businesses—such as Japan’s SBI Group—begin to adopt blockchain and other emerging technologies, others will be required to follow suit, according to the equity fund portfolio manager. “Under CEO Yoshitaka Kitao, SBI Group has committed heavily to blockchain and cryptocurrency this year,” he explains, “investing in San Francisco-based startup Ripple in order to better facilitate its efforts in this area.”
Also known as Strategic Business Innovator Group, the Tokyo-based financial services organization, which also operates its own graduate and business schools, as well as a children’s charitable foundation, is further understood to be exploring additional, broader applications for blockchain, according to Lee Bressler. “SBI Group,” he explains, “is believed to be exploring applications for blockchain technology which center around travel and hotel bookings, food safety, and social media, in addition to its financial services industry endeavors.”
An area of particular interest for Bressler, and a further focus of attention for SBI Group, the portfolio manager next points toward artificial intelligence. “Every financial services sector business should be leveraging artificial intelligence,” he says, “in order to do everything from streamlining processes to offering superior levels of customer service.”
From the assessment of loan applications and the assertion of stock transactions to providing more personalized experiences to customers, Lee Bressler suggests that artificial intelligence is increasingly being employed by the financial services industry in all manner of areas.
He’s also keen to highlight a recent rise in the adoption of robotic process automation, a fast-growing trend, particularly within financial services. “Rapidly accelerating once highly manual, often extremely repetitive processes, robotic process automation is doubly valuable when combined with the advances being made surrounding artificial intelligence technology,” Lee Bressler explains, pointing in particular to the value of robotic process automation in fraud detection and credit assessment and underwriting.
“This combination of artificial intelligence technology and robotic process automation also has the added benefit,” he adds, wrapping up, “of allowing skilled members of staff to focus on what’s often referred to as more ‘value-added’ work which such technologies cannot readily tackle as it currently stands.”
Lee Bressler Uncovers Top-Rated Stocks Leading AI Revolution
Microsoft and NVIDIA lead the AI charge on Wall Street.
As the artificial intelligence revolution continues gathering incredible pace, two big names are leading the way according to Lee Bressler. An investor and technologist from New York with a focus on artificial intelligence and machine learning, Lee Bressler calls AI technology Wall Street’s ‘new kid on the block,’ with the market set to be worth a staggering $70 billion within two years based on projections from PricewaterhouseCoopers.
Exploring three of the best-rated stocks according to Wall Street’s top analysts, Lee Bressler first turns to Microsoft. Microsoft Corporation (NASDAQ: MSFT) recently acquired California-based AI startup Bonsai in a continued effort to drive its advances within artificial intelligence technology.
Marketed as the world’s first deep reinforcement learning platform for the enterprise, Microsoft hopes to enhance its own research into AI by leveraging Bonsai’s ‘Azure’ cloud platform. Bonsai marks the third AI acquisition for Microsoft, alongside SwiftKey and Maluuba, in less than two years.
“Microsoft’s vision is to make AI more accessible and valuable for all by removing barriers and empowering developers to enter the AI space,” suggests Lee Bressler. “Bonsai has already made great progress in this sense – progress Microsoft now wants to build upon.”
Wall Street remains largely bullish on Microsoft, yet many analysts suggest that the market is undervaluing the company’s ‘extremely compelling’ story, particularly surrounding AI, machine learning, and cloud computing technology. “Microsoft currently floats a strong buy consensus rating,” says Lee Bressler. Analyst price targets on the stock reflect a greater than 13 percent upside from current levels.
Lee Bressler then turns to NVIDIA Corporation (NASDAQ: NVDA). By leveraging the demand for AI-focused hardware, NVIDIA is taking full advantage of the artificial intelligence revolution.
Three of NVIDIA’s current big projects center around deep learning neural networks, real-time facial recognition, and AI-powered video analysis solutions, Bressler reveals.
“NVIDIA stock currently reflects a similar upside to Microsoft at around 14 percent,” he adds, wrapping up, “and floats a moderate buy rating according to analysts.”
Lee Bressler Explores NVIDIA’s Scalable AI Platform for Autonomous Driving
As revenues continue to rocket thanks to the ongoing adoption of cloud computing, NVIDIA is also settings its sights on self-driving vehicle technology
Graphics chip specialist NVIDIA‘s revenues are up once again as the California-based technology giant continues its move into cloud computing services, professional visualization, and, now, a scalable artificial intelligence powered platform for autonomous driving.
Buoyed by soaring data center and gaming tech revenues, Jensen Huang’s $10 billion Santa Clara headquartered corporation has set its sights on artificial intelligence in the form of its scalable DRIVE AI platform for autonomous driving. On what the business calls ‘the journey to zero accidents,’ NVIDIA suggests that autonomous vehicles will transform the ways in which everyone lives, works, and plays, creating safer and more efficient roads, according to Lee Bressler.
A technologist with a focus on artificial intelligence and machine learning technology, Lee Bressler explains how the company plans to realize these revolutionary benefits. “The car of the future will require a massive amount of computational horsepower, as NVIDIA puts it,” he reveals. “By tapping into decades of experience in related technologies, NVIDIA intends its DRIVE hardware and software solutions to deliver industry-leading performance to help automotive manufacturers, suppliers, and groundbreaking startups to continue pushing forward with the autonomous driving revolution.”
Intended to augment and, eventually, replace the human driver, the company’s DRIVE software enables key self-driving functionalities. “These functionalities include sensor fusion and perception, for example,” Bressler adds of the company’s full-stack solution.
Features of DRIVE, according to NVIDIA, currently include toolkits, frameworks, libraries, source packages, and compilers with which vehicle manufacturers and suppliers can develop applications centered around autonomous driving.
Automotive partners at present include Audi, Mercedes-Benz, Tesla, Toyota, Volvo, and Volkswagen. Solutions available extend to NVIDIA DRIVE, NVIDIA DGX SYSTEMS, DRIVE for Developers, DRIVE Constellation, NVIDIA DRIVE IX, HD Mapping, and Advanced Driver Assistance Systems.
One of NVIDIA’s most significant advancements right now is in the photorealistic simulation. “Photorealistic simulation offers a scalable solution for testing and validating self-driving platforms before they hit the road,” Bressler explains. Part of this centers around what the company has titled ‘Constellation’ – a data center solution which integrates powerful GPUs and advanced visualization software to simulate cameras, radar, and lidar as inputs. “DRIVE Constellation then processes the data as if it were actually the result of driving on real roads,” adds Bressler.
“As such,” Bressler continues, wrapping up, “NVIDIA suggests that this fully-scalable system is capable of generating billions of miles of truly diverse autonomous vehicle testing scenarios to validate both hardware and software developments prior to deployment.”
Lee Bressler Explores the Latest Advances in Machine Learning and Artificial Intelligence
The hype surrounding machine learning and artificial intelligence continues to intensify, with 2019 expected to be a pivotal year for the technology.
A hot topic of discussion for several years already, the hype surrounding machine learning and artificial intelligence still continues to grow. Industry experts anticipate 2019 to be a pivotal year for the technology, wherein which advancements in machine learning and artificial intelligence could turn the sector into something of a goldmine. That’s according to Lee Bressler, an investor and capital markets executive based in New York.
From new and innovative uses for machine learning to the continued rise of so-called AI assistants, powered by rapidly evolving artificial intelligence, it’s a market ready to absolutely exploding, says Bressler.
“The biggest thing to take into account is that, as far as machine learning goes, there’s not a single industry out there which wouldn’t benefit,” suggests Bressler. From automotive to healthcare, it’s his prediction that machine learning and artificial intelligence will begin to revolutionize different aspects of businesses right across the board in 2019.
In the stock market, for example, Bressler explains how a group of researchers has recently employed machine learning technology to successfully predict market performance. “This,” he says, “has been achieved based entirely on publicly available documents, which is all the more incredible, and further demonstrates the power of machine learning.”
Companies are also rapidly discovering how to use machine learning and artificial intelligence to read and interpret data, according to the New Yorker. “Through these interpretations, performed via machine learning and AI, companies are able to accurately predict the future by utilizing data collected in the past,” Bressler reveals. This, he says, is an area which businesses of all shapes and sizes should be looking to exploit in the coming twelve months.
The belief that artificial intelligence is merely a robot programmed to carry out mundane tasks is no longer, according to Bressler. “From our homes, where many of us have begun to rely on AI devices, to business – company owners and executives are increasingly starting to see AI as fundamental to their success,” he suggests.
Indeed, many huge multinational corporations are today working tirelessly on enhancing and improving relationships between humans and artificial intelligence in order to benefit their businesses.
“It’s about continuing to develop AI so that it better understands the nuances of individual human interactions,” points out Bressler, suggesting that artificial intelligence may soon be able to recognize, for example, more than simply what’s spoken by an individual. “This could completely revolutionize countless industries, eventually altering how we all go about our daily lives,” he adds.
“I believe,” concludes Lee Bressler, “that 2019 will be the biggest year yet for machine learning and AI, without a doubt, wherein which we’ll all begin to learn just how truly powerful these technologies can be.”
Recently imposed U.S. tariffs are causing uncertainty among those involved in steel, says Lee Bressler.
Recently imposed tariffs on imported steel have left many, especially in the construction industry and within investment circles, guessing how much further prices will rise, and how climbing costs will affect them, their businesses, and their investments going forward.
“Everyone is closely monitoring currently volatile steel prices, yet it’s perhaps still too early to make an exact call on the extent of the effects of the tariffs,” suggests Lee Bressler in New York.
Within construction, it’s predicted that material costs will see significant price increases throughout 2018, compared to the previous year. “There’s no denying,” says Bressler, “that any price hikes will be likely due, at least to some degree, to the recently imposed tariffs.”
While Bressler is quick to point out that steel prices regularly fluctuate, irrespective of any tariffs, recent developments have certainly intensified matters.
From a construction standpoint, it may be some time before the true extent of the effects of the recently imposed tariffs become entirely apparent. “Construction company bosses, anticipating the tariffs, have ordered ahead to get around higher prices, at least in the short term,” Bressler explains.
The impending threat and eventual appearance of steel tariffs have also contributed to current long lead times, further affecting already increasing steel prices. “The very mention of steel tariffs,” says Bressler, “pushed many into almost ‘panic buying’ steel, causing a rush on U.S. orders for the product.”
This has indeed pushed up prices of both imported and domestic steel. “The cost of domestic steel is up, largely owing to high demand,” says Bressler.
Domestic steel, in fact, has seen one of its biggest month-to-month jumps in recent years in 2018, according to the U.S. Bureau of Labor Statistics.
With steel prices looking uncertain going forward, a rush on concrete seems entirely plausible according to those in the know, threatening to also drive increased prices in a generally remarkably steady concrete market.
This is largely speculative, however, and Bressler doesn’t anticipate rising steel prices slowing building activity, or promoting a major shift away from steel. “People across the U.S. and indeed globally are still investing heavily in new building construction, where steel remains a staple,” he adds.
“Ultimately, right now,” says Bressler, wrapping up, “it’s impossible to predict exactly how much steel prices will rise but it will certainly be interesting to see where things go from here.”