Tag: artificial intelligence

Palantir Shares Rocket on Strong Q4 Earnings Driven by AI Demand

Posted on by slightbourne@noblecapitalmarkets.com

Shares of data analytics company Palantir Technologies soared over 25% on Tuesday after the company reported fourth-quarter results that beat expectations, driven by strong demand for its artificial intelligence capabilities.

Palantir said revenue in the fourth quarter increased 20% year-over-year to $608.4 million, surpassing Wall Street estimates of $602.4 million. The revenue growth was led by the company’s commercial business, especially in the U.S., where Palantir has been rapidly building out its AI platform known as AIP.

In a letter to shareholders, Palantir CEO Alex Karp provided color on the ongoing demand for AI capabilities, stating that appetite for large language models in the U.S. “continues to be unrelenting.” Karp noted that Palantir conducted nearly 600 pilots of its AIP platform with customers last year.

The AI platform allows Palantir customers to build their own AI models specific to their business using the company’s robust data management and analytics capabilities. This enables tailored AI applications across a variety of industries and use cases, from risk modeling in financial services to supply chain optimization and more.

Analyst Commentary on AI Momentum

Multiple analysts upgraded Palantir stock and raised price targets following the strong quarterly showing, which provided tangible evidence of the company’s AI platform gaining traction with customers.

Citi analysts upgraded Palarntir to a Neutral rating from Sell, saying the results demonstrated “breakthrough momentum” for the commercial business driven by AI adoption. They see the momentum in AIP balancing out risks related to guidance for the non-U.S. commercial business.

Meanwhile, Jefferies analysts admitted they were previously wrong to downplay the impact AI could have for Palantir. They now believe the company is at an “inflection point” as the AIP platform ramps faster than their initial expectations.

Bank of America also noted that while still early, AIP is already having a meaningful impact on Palantir’s growth. They expect the AI momentum to continue and see significant opportunities in the U.S. government sector as well.

Concerns Around Valuation Remain

Despite the more constructive view on AI traction, some analysts still harbor concerns around Palantir’s valuation. Jefferies pointed out the stock trades at a 23% premium to large cap peers, leading them to remain sidelined for now despite the growth signals.

Citi also raised its target to $20, which offers upside from current levels but is likely still conservative relative to more bullish Street views. The premium multiple encapsulates the potential rewards and risks at this stage of Palantir’s expansion within AI.

Path Forward for AI Business

The fourth quarter results provided promising evidence that Palantir’s investments in AI and its unified data platform are allowing it to capitalize on the surging demand. But the company will likely need to maintain the commercial momentum and continue gaining AI adoption to justify a higher valuation.

If Palantir can consistently grow revenue, especially within the U.S. commercial landscape, while expanding AIP pilots into long-term customers, it could support a durable growth trajectory. Government work also offers a steady revenue stream to complement the more volatile commercial business over time.

Overall, Palantir’s latest quarter showcased its potential as an AI leader. But realizing the full upside will depend on smart and consistent execution across geographies and industries. The positive analyst reactions and stock move indicate investors are gaining confidence in Palantir’s ability to capture the AI opportunity.

Alphabet Ends Relationship with AI Training Firm Appen in Major Blow

Posted on by slightbourne@noblecapitalmarkets.com

Tech giant Alphabet has decided to terminate its contractual relationship with Appen, an Australian company that has helped train many of Alphabet’s artificial intelligence products including the AI chatbot Bard.

Appen announced over the weekend that Alphabet notified them it will end all contracts effective March 19th. This is a massive blow to Appen, as Alphabet business accounts for around one-third of its total revenue.

Appen specializes in providing training data to tech firms to improve AI systems. It has helped train AI models for Microsoft, Apple, Meta, Amazon, Nvidia and others in addition to Alphabet. But the loss of the Alphabet contracts removes a huge chunk of its business.

Appen said it had no prior knowledge that Alphabet would end the relationship. The decision will impact thousands of subcontractors that Appen uses to source training data for Alphabet projects.

This termination caps what has been a very difficult stretch for the nearly 30-year-old Appen. The company has lost numerous major customers over the past two years as revenue declined 30% in 2023 and 13% in 2022.

Appen’s share price has also absolutely collapsed after peaking in 2020, falling over 99% from its high. Alphabet’s decision now deals a devastating blow to Appen’s attempts to turnaround the business.

Struggles Pivoting to Generative AI

Much of Appen’s struggles relate to challenges pivoting its offering to the new paradigm of generative AI. Models like ChatGPT and Google’s Bard work very differently than earlier AI systems. They rely more on processing power and less on human-labeled training data.

Former Appen employees said the company’s disjointed organizational structure and lack of quality control has hurt its ability to adapt its data services for generative AI. Appen touted work on search, translations, lidar, and more but large language models operate on a different scale.

For years Appen delivered solid growth supplying training data to Big Tech firms. But its business wasn’t built for the paradigm shift towards generative AI. Companies are spending far more on powerful AI chips from Nvidia and less on data from Appen.

Conflicts with Google

Interestingly, Appen has had public conflicts in the past with its now former major customer Alphabet. In 2019, Google mandated that contractors would have to pay workers at least $15 per hour. Appen did not meet that baseline wage requirement according to letters from some of its workers.

Earlier this year wage increases finally went into effect for Appen contractors working on Google projects like Bard. But other labor issues persisted. In June, Appen faced charges after allegedly firing six workers who spoke out about workplace frustrations.

This history of conflicts, along with Appen’s struggles to adapt to new AI needs, likely contributed to Alphabet’s decision to fully cut ties. The exact rationale remains unclear but the termination speaks to a relationship that was on shaky ground.

What’s Next for Appen

The loss of its Alphabet business leaves Appen in an extremely challenging position. In its filing, Appen said it will focus on managing costs and delivering quality AI training data to customers. But it has lost major customer after major customer in recent years.

Appen noted it will provide more details when it reports full year 2023 results in late February. But make no mistake, this termination represents a huge setback for its turnaround efforts.

For Alphabet, the move enables it to take greater control over how it sources training data and labeling for its AI systems. Relying less on third-party vendors aligns with its plans to invest heavily in developing its internal AI capabilities.

Meanwhile, the saga illustrates the rapid evolutions occurring in the AI sector. Generative models are transforming the field. For legacy players like Appen, adapting to stay relevant is proving enormously difficult.

HPE’s Blockbuster $14B Acquisition of Juniper Networks Signals AI Networking Wars

Posted on by slightbourne@noblecapitalmarkets.com

Hewlett Packard Enterprise (HPE) sent shockwaves through the tech industry this week with the announcement of its planned $14 billion acquisition of Juniper Networks. The all-cash deal represents HPE’s largest ever acquisition and clearly signals its intent to aggressively compete with rival Cisco for network supremacy in the burgeoning artificial intelligence era.

The deal comes as AI continues to revolutionize networks and create new demands for automation, security, and performance. HPE aims to leverage Juniper’s networking portfolio to create AI-driven solutions for hybrid cloud, high performance computing, and advanced analytics. According to HPE CEO Antonio Neri, “This transaction will strengthen HPE’s position at the nexus of accelerating macro-AI trends, expand our total addressable market, and drive further innovation as we help bridge the AI-native and cloud-native worlds.”

With Juniper under its fold, HPE expects its networking segment revenue to jump from 18% to 31% of total revenue. More importantly, networking will now serve as the core foundation for HPE’s end-to-end hybrid cloud and AI offerings. The combined entity will have the scale, resources, and telemetry data to optimize networks and data centers with machine learning algorithms.

HPE’s rivals are surely taking notice. Cisco currently dominates enterprise networking and will face a revitalized challenger. Smaller players like Arista Networks and Extreme Networks will also confront stronger competition from HPE in key verticals. Cloud giants running massive data centers, including Amazon, Google and Microsoft, could benefit from an alternative vendor focused on AI-powered networking infrastructure.

The blockbuster deal also signals bullishness on further AI adoption. HPE is essentially doubling down on the sector just as AI workloads start permeating across industries. Other enterprise tech companies making big AI bets include IBM’s recent acquisitions and Dell’s integration of AI into its hardware. Startups developing AI chips and networking software are also likely to benefit from HPE’s increased focus.

For now, HPE stock has barely budged on news of the acquisition, while Juniper’s shares have jumped over 30%. HPE is betting it can accelerate growth and deliver value once integration is completed over the next two years. Analysts say HPE will need to maintain momentum across its expanded networking segment to truly threaten Cisco’s leadership. But one thing is clear: the AI networking wars have officially begun.

This massive consolidation also continues a trend of legacy enterprise tech giants acquiring newer cloud networking companies, including Cisco/Meraki, Broadcom/Symantec Enterprise, and Amazon/Eero. Customers can expect intensified R&D and new solutions that leverage AI, automation and cloud analytics. However, some worry it could lead to less choice and higher prices. Regulators are certain to scrutinize the competitive implications.

For now, HPE and Juniper partners see it as a positive development that gives them an end-to-end alternative to Cisco. Solution providers invested in networking-as-a-service stand to benefit from HPE’s focus on consumption-based, hybrid cloud delivery models. With Juniper’s technology integrated into HPE’s GreenLake platform, they can wrap more recurring services around a broader networking portfolio.

Both companies also promise a smooth transition for existing customers. HPE says combining the best of its Aruba networking with Juniper’s assets across the edge, WAN and data center will lead to better experiences and lower friction. Juniper CEO Rami Rahim also touts the deal as accelerating innovation in AI-driven networking.

Of course, the real heavy lifting starts after the acquisition closes, as integrating two complex networking organizations is no easy feat. HPE will aim to become a one-stop shop for customers seeking to modernize their networks and leverage AI, while avoiding the complexity of buying point products. With Cisco squarely in their crosshairs, the networking wars are set to reach a new level.

BigBear.ai Makes Bold Move to Lead Vision AI Industry with Acquisition of Pangiam

Posted on by slightbourne@noblecapitalmarkets.com

BigBear.ai, a provider of AI-powered business intelligence solutions, has announced the acquisition of Pangiam, a leader in facial recognition and biometrics, for approximately $70 million in an all-stock deal. The acquisition represents a major strategic move by BigBear.ai to expand its capabilities and leadership in vision artificial intelligence (AI).

Vision AI refers to AI systems that can perceive, understand and interact with the visual world. It includes capabilities like image and video analysis, facial recognition, and other computer vision applications. Vision AI is considered one of the most promising and rapidly growing AI segments.

With the acquisition, BigBear.ai makes a big bet on vision AI and aims to create one of the industry’s most comprehensive vision AI portfolios. Pangiam’s facial recognition and biometrics technologies will complement BigBear.ai’s existing computer vision capabilities.

Major Boost to Government Business

A key rationale and benefit of the deal is expanding BigBear.ai’s business with U.S. government defense and intelligence agencies. The company currently serves 20 government customers with its predictive analytics solutions. Adding Pangiam’s technology and expertise will open significant new opportunities.

Pangiam brings an impressive customer base that includes the Department of Homeland Security, U.S. Customs and Border Protection, and major international airports. Its vision AI analytics help these customers streamline operations and enhance security.

According to Mandy Long, BigBear.ai CEO, the combined entity will be able to “pursue larger customer opportunities” in the government sector. Leveraging Pangiam’s portfolio is expected to result in larger contracts for expanded vision AI services.

CombiningComplementary Vision AI Technologies

Technologically, the acquisition enables BigBear.ai to provide comprehensive vision AI solutions. Pangiam’s strength lies in near-field applications like facial recognition and biometrics. BigBear.ai has capabilities in far-field vision AI that analyzes wider environments.

Together, the combined portfolio covers the full spectrum of vision AI’s possibilities. BigBear.ai notes this full stack capability will be unique in the industry, giving the company an edge over other players.

The vision AI integration also unlocks new potential for BigBear.ai’s existing government customers. Its current predictive analytics solutions can be augmented with Pangiam’s facial recognition and biometrics tools. This builds on the company’s strategy to cross-sell new capabilities to established customers.

Long describes the alignment of Pangiam and BigBear.ai’s vision AI prowess as a key factor that will “vault solutions currently available in market.” The combined innovation assets create opportunities to push vision AI technology forward and build next-generation solutions.

Fast-Growing Market Opportunities

The acquisition comes as vision AI represents a $20 billion market opportunity predicted to grow at over 20% CAGR through 2030. It is one of the most dynamic segments within the booming AI industry.

With Pangiam under its wing, BigBear.ai is making a major play for leadership in this high-potential space. The new capabilities and customer reach significantly expand its addressable market in areas like government, airports, identity verification, and border security.

BigBear.ai also gains vital talent and IP to enhance its vision AI research and development efforts. This will help fuel its ability to bring new innovations to customers seeking advanced vision AI systems.

In a statement, BigBear.ai CEO Mandy Long called the merger a “holy grail” deal that delivers full spectrum vision AI capabilities spanning near and far field environments. It positions the newly combined company to capitalize on surging market demand from government and commercial sectors.

The proposed $70 million acquisition shows BigBear.ai is putting its money where its mouth is in terms of dominating the up-and-coming vision AI arena. With Pangiam’s tech and talent on board, BigBear.ai aims to aggressively pursue larger opportunities and cement its status as an industry frontrunner.

AMD’s Future Hinges on AI Chip Success

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Chipmaker Advanced Micro Devices (AMD) offered an optimistic forecast this week for its new data center AI accelerator chip, predicting $2 billion in sales for the product in 2024. This ambitious target represents a crucial test for AMD as it seeks to challenge rival Nvidia’s dominance in the artificial intelligence (AI) chip market.

AMD’s forthcoming MI300X processor combines the functionality of a CPU and GPU onto a single chip optimized for AI workloads. The chipmaker claims the MI300X will deliver leadership performance and energy efficiency. AMD has inked deals with major hyperscale cloud customers to use the new AI chip, including Amazon Web Services, Google Cloud, Microsoft Azure and Oracle Cloud.

The $2 billion revenue projection for 2024 would represent massive growth considering AMD expects a modest $400 million from the MI300X this quarter. However, industry analysts caution that winning significant market share from Nvidia will prove challenging despite AMD’s technological advancements. Nvidia currently controls over 80% of the data center AI accelerator market, fueled by its popular A100 and H100 chips.

“The AI chip market is still in its early phases, but it’s clear Nvidia has built formidable customer loyalty over the past decade,” said Patrick Moorhead, President of Moor Insights & Strategy. “AMD will need to aggressively discount and wow customers with performance to take share.”

AMD’s fortunes sank earlier this year as the PC market slumped and excess inventory weighed on sales. Revenue from the company’s PC chips dropped 42% in the third quarter. However, AMD sees data center and AI products driving its future growth. The company aims to increase data center revenue by over 60% next year, assuming the MI300X gains traction.

But AMD faces headwinds in China due to new U.S. export rules limiting the sale of advanced AI chips there. “AMD’s ambitious sales target could prove difficult to achieve given the geopolitical climate,” said Maribel Lopez, Principal Analyst at Lopez Research. China is investing heavily in AI and domestic chipmakers like Baidu will be courting the same hyperscale customers.

Meanwhile, Intel aims to re-enter the data center GPU market next year with its new Ponte Vecchio chip. Though still behind Nvidia and AMD, Intel boasts financial resources and manufacturing scale that shouldn’t be underestimated. The AI chip market could get very crowded very quickly.

AMD CEO Lisa Su expressed confidence in meeting customer demand and hitting sales goals for the MI300X. She expects AMD’s total data center revenue mix to shift from approximately 20% today to over 40% by 2024. “The AI market presents a tremendous opportunity for AMD to grow and diversify,” commented Su.

With PC sales stabilizing, AMD raising its AI chip forecast provided a sigh of relief for investors. The company’s stock rebounded from earlier losses after management quantified the 2024 sales target. All eyes will now turn to AMD’s execution ramping production and adoption of the MI300X over the coming year. AMD finally has a shot at becoming a major player in the AI chip wars—as long as the MI300X lives up to the hype.

President Biden’s Sweeping AI Executive Order: What Investors Need to Know

Posted on by slightbourne@noblecapitalmarkets.com

On October 30th, President Biden signed a landmark executive order to increase oversight and regulation of artificial intelligence (AI) systems and technologies. This sweeping regulatory action has major implications for tech companies and investors in the AI space.

The order establishes new security and accountability standards for AI that companies must meet before releasing new systems. Powerful AI models from leading developers like Microsoft, Amazon, and Google will need to undergo government safety reviews first.

It also aims to curb harmful AI impacts on consumers by mandating privacy protections and anti-bias guardrails when algorithms are used in areas like housing, government benefits programs, and criminal justice.

For investors, this secures a leadership role for the U.S. in guiding AI development. It follows $1.6 billion in federal AI investments this fiscal year and supports American competitiveness versus China in critical tech sectors.

Here are the key takeaways for investors and industries affected:

Tech Giants – For AI leaders like Alphabet, Meta, and Microsoft, compliance costs may increase to meet new standards. But early buy-in by these companies helped shape the order to be achievable. The upfront reviews could also reduce downstream AI risks.

Chipmakers – Companies like Nvidia and Intel providing AI hardware should see continued demand with U.S. positioning as an AI hub. But if smaller competitors struggle with new rules, consolidation may occur.

Defense – AI has become vital for advanced weapons systems and national security. The order may add procurement delays but boosts accountability in this sensitive area. Northrop Grumman, Lockheed Martin and other defense contractors will adapt.

Automotive – Self-driving capabilities rely on AI. Mandating safety reviews for AI systems helps build public trust. Automakers investing heavily in autonomy like GM, Ford and Waymo will benefit.

Healthcare – AI holds promise for improving patient care and outcomes. But bias concerns have arisen, making regulation welcome. Medical AI developers and adopters such as IBM Watson Health now have clearer guidelines.

Startups – Early-stage AI innovators may face added hurdles competing as regulations rise. But they can tout adherence to government standards as a competitive advantage to enterprises adopting AI.

China Competition – China aims to lead in AI by 2030. This order counters with U.S. investment, tech sector support, and global cooperation on AI ethics. Investors can have confidence America won’t cede this key industry.

While adaptation will be required, investors can find opportunities within the AI landscape as it evolves. Companies leaning into the new rules and transparency demands can realize strategic gains.

But those lagging in ethics and accountability may see valuations suffer. disciplines like algorithmic bias auditing will now become critical enterprise functions.

Overall the AI executive order puts guardrails in place against unchecked AI harms. Done right, it can increases trust and spur responsible innovation. That’s a bullish signal for tech investors looking to deploy capital into this transformative sector.

AMD Will Acquire AI Software Specialist Nod.ai Amid Mixed Tech IPO Environment

Posted on by slightbourne@noblecapitalmarkets.com

AMD announced Monday that it will acquire Nod.ai, an expert in optimized artificial intelligence (AI) software solutions. The deal aims to boost AMD’s capabilities in open-source AI development tools, compilers, and models tuned for AMD data center, PC, gaming and graphics chips.

The acquisition comes during a rocky period for initial public offerings in the technology sector. Chip designer Arm Holdings, which recently went public, has seen its shares drop below its IPO price as investors grow concerned over tech valuations and growth prospects in a turbulent market.

Nod.ai: Boosting AMD’s AI Software Expertise

San Jose-based Nod.ai has developed industry-leading software that speeds the deployment of AI workloads optimized for AMD hardware, including Epyc server CPUs, Radeon gaming graphics, and Instinct data center GPUs.

Nod.ai maintains and contributes to vital open-source AI repositories used by developers and engineers globally. It also works closely with hyperscale cloud providers, enterprises and startups to deploy robust AI solutions.

AMD gains both strategic technology and rare AI software expertise through Nod.ai’s highly experienced engineering team. Nod.ai’s compiler and automation capabilities reduce the complexity of optimizing and deploying high-performance AI models across AMD’s product stack.

Market Tailwinds for AI Innovation

The pickup in AI workload optimization comes at a time when machine learning and deep learning are being rapidly adopted across industries. AI-optimized hardware and software will be critical to support resource-intensive models and deliver speed, accuracy and scalability.

AMD is looking to capitalize on this demand through its unified data center GPU architecture for AI acceleration. Meanwhile, rival Nvidia dominates the data center GPU space crucial for AI computing power.

Arm IPO Capitulates Amid Market Jitters

UK-based Arm Holdings, which supplies intellectual property for chips used in devices like smartphones, recently conducted a $40 billion IPO, one of the largest listings of 2023. However, Arm’s share price plunged below its IPO level soon after debuting in September.

The weak stock performance highlights investor skittishness around loss-making tech firms amid economic headwinds. ARM’s licensing model also faces risks as major customers like Apple and Qualcomm develop their own proprietary chip technologies and architectures.

Unlike Arm, AMD is on solid financial footing, with its data center and gaming chips seeing strong uptake. However, AMD must still convince Wall Street that its growth trajectory warrants robust valuations, especially as Intel mounts a comeback.

Betting on Open Software Innovation

AMD’s Nod.ai purchase aligns with its strategic focus on open software ecosystems that promote accessibility and standardization for AI developers. Open software and hardware foster collaborative innovation within the AI community.

With Nod.ai’s talents added to the mix, AMD is betting it can democratize and optimize AI workload deployment across the full range of AMD-powered devices – from data center CPUs and GPUs to client PCs, gaming consoles and mobile chipsets.

If successful, AMD could carve out an advantage as the preferred AI acceleration platform based on open software standards. This contrasts with Nvidia’s proprietary approaches and closed ecosystems tailored exclusively for its GPUs.

As AI permeates across industries and applications, AMD is making the right long-term bet on open software innovation to unlock the next phase of computing.

Amazon Bets Big on AI Startup to Advance Generative Tech

Posted on by slightbourne@noblecapitalmarkets.com

E-commerce titan Amazon is making a huge investment into artificial intelligence startup Anthropic, injecting up to $4 billion into the budding firm. The massive funding underscores Amazon’s ambitions to be a leader in next-generation AI capabilities.

Anthropic is a two-year old startup launched by former executives from AI lab OpenAI. The company recently introduced its new chatbot called Claude, designed to converse naturally with humans on a range of topics.

While Claude has similarities to OpenAI’s popular ChatGPT, Anthropic aims to take natural language AI to the next level. Amazon’s investment signals its belief in Anthropic’s potential to pioneer groundbreaking generative AI.

Generative AI refers to AI systems that can generate new content like text, images, or video based on data they are trained on. The technology has exploded in popularity thanks to ChatGPT and image generator DALL-E 2, sparking immense interest from Big Tech.

Amazon is positioning itself to capitalize on this surging interest in generative AI. As part of the deal, Amazon Web Services will become Anthropic’s primary cloud platform for developing and delivering its AI services.

The startup will also let AWS customers access exclusive features to customize and fine-tune its AI models. This tight integration gives Amazon a competitive edge by baking Anthropic’s leading AI into its cloud offerings.

Additionally, Amazon will provide custom semiconductors to turbocharge training for Anthropic’s foundational AI models. These chips aim to challenged Nvidia’s dominance in supplying GPUs for AI workloads.

With its end-to-end AI capabilities across hardware, cloud services and applications, Amazon aims to be the go-to AI provider. The Anthropic investment caps off a flurry of activity from Amazon to own the AI future.

Recently, Amazon unveiled Alexa Voice, AI-generated voice assistant. The company also launched Amazon Bedrock, a service enabling companies to easily build custom AI tools using Amazon’s machine learning models.

And Amazon Web Services already offers robust AI services like image recognition, language processing, and data analytics to business clients. Anthropic’s generative smarts will augment these solutions.

The race to lead in AI accelerated after Microsoft’s multi-billion investment into ChatGPT creator OpenAI in January. Google, Meta and others have since poured billions into AI startups to not get left behind.

Anthropic has already raised funding from top tier backers like Google’s VC arm and Salesforce Ventures. But Amazon’s monster investment catapults the startup into an elite group of AI startups tapping into Big Tech’s cash reserves.

The deal grants Amazon a minority stake in the startup, suggesting further collaborations ahead. With Claude 2 generating buzz, Anthropic’s next-gen AI technology and Amazon’s vast resources could be a potent combination.

For Amazon, owning a piece of a promising AI startup hedges its bets should generative AI disrupt major industries. And if advanced chatbots like Claude reshape how customers interact with businesses, Amazon is making sure it has skin in the game.

The e-commerce behemoth’s latest Silicon Valley splash cements its position as an aggressive AI player not content following others. If Amazon’s bet on Anthropic pays off, it may pay dividends in making Amazon a go-to enterprise AI powerhouse.