Unbounce, a Vancouver startup best known for helping marketers create automated landing pages, added a new wrinkle this morning when it announced it has acquired Snazzy.ai, The two companies did not share the terms. Unbounce Chief Strategy Officer Tamara Grominsky says that her company focuses on helping customers convert their customers into sales, and with Snazzy, it gets some pretty nifty technology based on GPT-3 artificial intelligence technology. "We're focused right now on building conversion intelligence software that will allow marketers to work with machines to really unlock their true conversion potential […] and we saw a huge opportunity with Snazzy to focus particularly on the content creation and copy creation space to help us accelerate that strategy," Grominsky explained. She points out that the product is really aimed at the marketing generalist charged with overseeing landing pages, and who is responsible for a range of tasks including writing copy. "The average Unbounce customer isn't a specialized copywriter, so they don't spend [their work] day writing copy.

Sometimes, a new technology will change the world forever. 5,000 years ago, a nameless Sumerian started marking clay tablets with a stylus, and invented writing; a little over three centuries ago, the steam engine took its place in our lives; early in the last century, Henry Ford came up with the assembly line. There’s no telling what innovation will prove to be game-changing; but it is possible to narrow the field down. And that brings us to AI. Artificial Intelligence, AI, may just be the next big idea. It’s not quite new – computer scientists and programmers have been working on ‘intelligent machines’ since the 1950s, at least – but the tech is finally maturing, and autonomous computers, capable of collating data and making decisions in real time, are no longer a pipe dream. The implications are staggering. Practical AI makes it possible for machines to learn, and to apply that learning. AI programs underly advanced voice and facial recognition systems and fraud detection programs, applications that depend on pattern recognition. More advanced AI is being applied to the automotive industry, where it is used to monitor automobile systems in real time – and to permit driverless vehicles. And this has not been ignored by Wall Street. Analysts say that plenty of compelling investments can be found within this space. With this in mind, We’ve opened up TipRanks’ database, and pulled three AI stocks that are on the leading edge of the technology. Importantly, all three earn Moderate or Strong Buy consensus ratings from the analyst community, and boast considerable upside potential. TuSimple Holdings (TSP) The first AI stock we’re looking at here, TuSimple Holdings, is deeply involved in the autonomous vehicle industry. The company is working on AI systems that will power self-driving trucks, allowing for greater efficiency and safety in the long-haul trucking industry. TuSimple has developed an advanced autonomous driving system specifically for the needs of the trucking industry; the company’s AI backs a long-range perception system that can spot, recognize, and identify objects as far away as 1,000 meters. In another achievement, TuSimple last summer launched an Autonomous Freight Network, through which the company will address the trucking industry’s challenges. TuSimple’s AI tech will allow the company’s trucks to conduct long-haul freight runs. The AI will monitor sensor systems to keep the truck on the road, and navigate to the destination – in all weather, and even in traffic conditions. To raise capital, TuSimple held its IPO last month, offering 33.75 million shares to the public at $40 per share. Of those shares, 27 million were offered by the company, with an existing shareholder putting 6.75 million shares on the market. TuSimple received the proceeds from the shares it sold directly, totaling over $1.08 billion before expenses. Writing from Canadian investment bank RBC, analyst Joseph Spak notes that TuSimple is highly speculative – but that if it succeeds, the rewards will be enormous. “We understand concerns about vetting the technology, adoption and the path towards revenue and profitability. But if TuSimple succeeds, the equity value is significantly higher. As such, we view TuSimple very much like a venture investment in the public markets or perhaps, a biotech stock. The upside opportunity is massive. Proof points (milestones, orders) along the way should increase the market’s confidence in TuSimple’s mid-term targets and long-term opportunity, thereby increasing its stock price,” Spak explained. In line with his comments, Spak rates TSP an Outperform (i.e. Buy), and sets a $52 price target that suggests an upside of 44% in the next 12 months. (To watch Spak’s track record, click here) Overall, TuSimple personifies everything that risk-loving investors want in the stock market. It uses cutting edge tech; it has staked out a position in a field that is not quite here, but is coming; and it’s an early adopter. While still in early stages of building out its products and AI systems, the stock has attracted 7 analyst reviews – 6 to Buy, and 1 to Hold – giving it a Strong Buy consensus rating. The shares are selling for $36.08, and their $54.70 average price target imply a one-year upside of ~52%. (See TSP stock analysis on TipRanks) Nvidia Corporation (NVDA) Next up, Nvidia, is one of the giants of the silicon microprocessor industry. These are the computer chips that make all of the high tech systems possible. Nvidia was the eighth largest chip maker last year, with more than $16 billion in total sales, up 53% from the year before. Nvidia’s chief connection to AI is through the automotive industry. The company has long sold chips to car makers – automotive business makes up between 5% and 10% of Nvidia’s sales – but the car makers over the past year have been ordering more AI capable systems. Nvidia delivers chips and associated packages that allow an autonomous vehicle’s AI system to build perception, mapping, planning, and monitoring capabilities. Nvidia is working on transferring its automotive AI systems into the data center segment; the monitoring needs of large server stacks are comparable to those of autonomous vehicles, and will benefit from the application of machine learning. Covering NVDA for Baird, 5-star analyst Tristan Gerra rates the stock an Outperform (i.e. Buy) along with an $800 price target, which implies ~45% upside. The bull thesis is based on "Nvidia’s strong near-term positioning in AI data center markets and longer-term opportunities across many accelerated computing applications." (To watch Gerra’s track record, click here) "As Nvidia increasingly moves to platform solutions targeting and enabling all AI markets, while diversifying its architecture offering, the company is poised to over time dominate data center. Omniverse gives us an early glimpse of a virtual 3D world which Nvidia is at the forefront and ultimately yielding to a matrix computing world. More near term, GTC-announced foray into CPUs will expand Nvidia's computing TAM," Gerra opined. Overall, no fewer than 27 analysts have put reviews on NVDA on record, and of those, 24 are to Buy against just 3 to Hold. NVDA shares are selling for $550.34; the average price target of $682.20 implies an upside of 24% from that level. (See Nvidia stock analysis on TipRanks) Upstart Holdings (UPST) We’ll finish in financial tech, where Upstart Holdings has applied AI technology to power a lending platform. Using AI, the company aims to evaluate borrowers to determine actual risk levels and creditworthiness. A clearer understanding of the natural risks of lending money will allow lenders to approve more transactions, give otherwise marginal borrowers greater access to capital, and provide cost savings on both ends. Upstart boasts that its AI analysis platform has helped more than 698,000 customers to acquire loans, and that its model provides for 27% more loan approvals than traditional credit-scoring methods. Upstart’s AI evaluates 1,600 data points, and results in borrowers accessing funds at 16% lower rates than would otherwise be possible. The company has been in business since 2012, and went public on the NASDAQ in December of 2020. The IPO saw the company make 9 million shares made available to the public at $20 each, raising $180 million. In March of this year, Upstart released its first quarterly report as a publicly traded entity. The company reported $86.7 million in total revenues, up 39% from one year earlier. Of that total, $84.4 million was derived from usage fees. For the full year 2020, Upstart saw a 42% yoy increase in revenue, to $233.4 million. Among the bulls is Piper Sandler analyst Arvind Ramnani, who is impressed by both the company’s model, and its forward prospects. "We expect Upstart to expand its market share well beyond its primary product focus of unsecured personal loans, and its recently announced auto loans... Key to Upstart’s AI offering is its a) inherent training data advantage backed by the >1,620 variables aggregated to inform their models; b) AI algorithms that have been extensively tested and refined; c) Over 10.5M discrete repayment events that further validate the data and algorithms. Upstart’s SaaS-based revenue model (only ~1% balance sheet loan exposure) has the ability to deliver upside to our 58% CAGR (2020-2023E), in a massive market ($700B NT; $3.4T LT opportunity),” Ramnani opined. To this end, the analyst rates UPST shares an Overweight (i.e. Buy), and his $143 price target implies an upside of 65%. (To watch Ramnani’s track record, click here) Let’s take a look at how the rest of the Street sees 2021 panning out for UPST. Based on 4 Buys and 2 Holds, the stock has a Moderate Buy consensus rating. The average price target is $123.50 suggesting a 34.5% upside potential from the trading price of $91.82. (See UPST stock analysis on TipRanks) To find good ideas for AI stocks trading at attractive valuations, visit TipRanks’ Best Stocks to Buy, a newly launched tool that unites all of TipRanks’ equity insights. Disclaimer: The opinions expressed in this article are solely those of the featured analysts. The content is intended to be used for informational purposes only. It is very important to do your own analysis before making any investment.

Tuesday's top trending stocks come to us from every sector, from 3D manufacturing to semiconductor manufacturers to, surprisingly, a global gambling guru. Q.ai runs factor models daily to get the most up-to-date reading on stocks and ETFs. Our deep-learning algorithms use Artificial Intelligence (AI) technology to provide an in-depth, intelligence-based look at a company – so you don't have to do the digging yourself. Sign up for the free Forbes AI Investor newsletter here to join an exclusive AI investing community and get premium investing ideas before markets open. IBM IBM closed up almost 0.5% on Monday to $146.17 per share, starting off the week with nearly 7 million trades on the docket and ticking up over 16% YTD.

"The big tech is banking heavily on AI, Cloud and 5G technologies to retain customers and drive growth" A global emergency can smother your business, government lawsuits can break your company, competitors with trillion-dollar market value can wipe your organisation off the map. But what would happen when all three come together in the same year? The pandemic brought the world to a standstill. The internet giants, however, came out of it unscathed. Apple, Amazon, Google and Facebook, popularly known as the big four, have not only survived a combination of calamities but registered profits and left the Wall Street analysts dumbfounded.

Plus plans to merge with Hennessy Capital Investment Corp. V in a transaction that would bring the company, which is based in California and China, about $500 million in gross proceeds and a market capitalization of roughly $3.3 billion. The agreement is expected to close in the third quarter, the companies said Monday. The deal would provide "a significant cash infusion for us to expand our commercialization efforts," Plus Chief Executive and co-founder David Liu said, as the company steps up production and aims to fill thousands of contracted orders and vehicle reservations from Chinese and U.S. fleets. The transaction would include a $150 million private placement of shares with BlackRock Inc., D.E. Top news and in-depth analysis on the world of logistics, from supply chain to transport and technology.

A January survey from online travel company trivago showed 38% of Americans would give up sex for a year to travel right now. The other 62% appear to be actively hunting for love online. On Tuesday online dating company Match Group showed the quest for chemistry was a very popular New Year's resolution after many months of solitary confinement. The first quarter looked good from all angles, with revenue and adjusted earnings before interest, taxes, depreciation and amortization both coming in above Wall Street's expectations. Match's revenue forecast for the second quarter was also better than analysts had expected, though the company did say it will lean into its recent momentum and increase marketing spending relative to the same period last year, weighing slightly on its bottom line.

Recently, Elon Musk claimed that Tesla is becoming known more as an Artificial Intelligence and Robotics company. The argument was put forth during Tesla's Q1 2021 Earnings call on April 26th. Tesla's name has been resonating as a leader in the electric vehicle and self-driving cars market. Nonetheless, the company was dragged into many controversies due to the car crashes involving Tesla and other growing complaints about the technical quality issues. The statement from Elon Musk came in the context of Tesla being able to develop a cutting-edge AI team and technology for its self-driving cars.

Elon Musk made the argument that Tesla is going to be known more as an artificial intelligence and robotic company. For a while now, Musk has been pushing this idea that investors shouldn't just see Tesla as an automaker and energy company, but as a group of startups. He argues that Tesla's service centers are a startup, Tesla's insurance company is a startup, Tesla's automation group is a startup, etc. In that vein, Musk now claims that artificial intelligence and robotics are going to be just as synonymous with Tesla as cars and energy. The CEO commented during a conference call discussing Tesla's Q1 2021 financial results: Although right now people think of Tesla as a car company or as an energy company. I think long term, people will think of Tesla as much as an AI robotics company as we are a car company or an energy company.

Tribyl (tri.bal), the premier Buyer Intelligence Cloud platform, announced the launch of its machine learning-based win-loss analysis product for B2B enterprises of all sizes. Product marketers rely on timely insights into why and how customers are buying to inform messaging and positioning. However, win-loss analysis is a 100% manual process today -- data collection is painful and costly, and limited to a small fraction of deals. Tribyl's product is a first-of-its-kind solution that uses machine learning to mine both unstructured and structured data, creating a single source of truth across all buying journeys and enabling go-to-market teams to make smarter and faster decisions. Per CSO Insights, dynamic customer journey alignment can unlock 15-20% higher revenue growth.

Robotic process automation has become buzzy in the last few months. New York-based UiPath is on course to launch an initial public offering after gaining an astounding valuation of $35 billion in February. Over in China, homegrown RPA startup Laiye is making waves as well. Laiye, which develops software to mimic mundane workplace tasks like keyboard strokes and mouse clicks, announced it has raised $50 million in a Series C round. The proceeds came about a year after the Beijing-based company pulled in the first tranche of its Series C round.