Results

Nvidia's model parade: Llama Nemotron, Cosmos additions, Isaac GROOT N1

Nvidia launched a family of open reasoning AI models designed for agentic AI as well as new world foundation models.

The company launched the Nvidia Llama Nemotron reasoning models that are designed for on-demand AI reasoning. Nvidia took the Llama models and enhanced them during post training to improve multistep math, coding, reasoning and complex decision-making.

According to Nvidia, the refinements made to Llama boosted accuracy by 20% compared to the base model and optimized inference speed 5x. Llama Nemotron models land with support from a variety of partners including Accenture, CrowdStrike, Microsoft, SAP and ServiceNow.

Llama Nemotron models are available as Nvidia NIM microservices in Nano, Super and Ultra sizes for various deployments.

  • Nano is geared toward PCs and edge devices.
  • Super is designed for the best accuracy and throughput on a single GPU.
  • Ultra is designed for multi-GPU servers.

Nvidia's bet is that by open sourcing tools, datasets and post-training optimization, enterprises will build custom reasoning models.

While Llama Nemotron is focused on agentic AI, Nvidia is also pushing into physical AI models for robotics. Nvidia launched a set of new Cosmos world foundation models.

The Cosmos models include:

  • Cosmos Transfer, which ingest structured video inputs such as maps, depth maps and lidar scans to create photoreal video outputs. Cosmos Transfer will streamline AI training as well as simulations and ground truth.
  • Cosmos Predict, which will enable multi-frame generation and predict intermediate actions.
  • Cosmos Reason, a world foundation model that will offer chain-of-thought reasoning in natural language.

For good measure, Nvidia announced Isaac GR00T N1, a humanoid robot foundation model.

Isaac GR00T N1 includes generalized skills and reasoning to human robots.

Nvidia is surrounding the model with simulation frameworks and blueprints. The company said the Isaac GR00T Blueprint for generating synthetic data as well as Newton, an open-source physics engine, will go with the new humanoid robotics model. Google DeepMind, Nvidia and Disney Research will collaborate on Newton.

Isaac GR00T N1 has a dual system architecture including a fast thinking action model and a slow thinking one that's for deliberate decisions. Key points:

  • System 2 is powered by a vision language model that reasons about its environment and instructions to plan action.
  • System 1 then translates system 2 data into robot movements. System 1 is trained on human demonstration data and synthetic data.

Isaac GR00T N1 can generalize tasks such as grasping and moving objects.

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Nvidia launches Blackwell Ultra, Dynamo. outlines roadmap through 2027

Nvidia launched Blackwell Ultra, which aims to boost training and test time inference, as the GPU giant makes the case that more efficient models such as DeepSeek still require its integrated AI factory stack of hardware and software.

The company also launched Dynamo, an open-source framework that disaggregates the AI reasoning process to optimize compute. For good measure, Nvidia laid out its plans for the next two years.

In the leadup to Nvidia GTC, where Blackwell Ultra was announced by CEO Jensen Huang, has been interesting. The rise of DeepSeek and models that can efficiently reason at lower costs created some doubt about whether hyperscalers would need to spend heavily on Nvidia's stack.

Huang said that Blackwell Ultra boosts training and test-time scaling inference. The idea is that applying more compute during inference improves accuracy and paves the way for AI reasoning, agentic AI and physical AI. "Reasoning and agentic AI demand orders of magnitude more computing performance," said Huang, who noted that Blackwell Ultra is a versatile platform for pre-training, post-training and reasoning AI inference. "The amount of computation we need at this point as a result of agentic AI as a result of reasoning, is easily 100 times more than we thought we needed."

Nvidia's Huang in his keynote at Nvidia GTC made the case that Blackwell shipments are surging and that the insatiable demand for AI compute--and Nvidia's stack--continues. Huang said Nvidia's roadmap is focused on building out AI factories and laying out investments years in advance. "We don't want to surprise you in May," said Huang. 

In a nutshell, Nvidia is sticking to its annual cadence, but sticking with the same chassis. The roadmap consists of the following:

Vera Rubin in second half of 2026. 

Rubin Ultra in second half of 2027. 

Huang said Nvidia's annual cadence is about "scaling up, then scaling out."

To that end, Huang noted that Nvidia's roadmap will require bets on networking and photonics. 

Key points about Blackwell Ultra include:

  • The platform is built on the Blackwell architecture launched a year ago.
  • Blackwell Ultra includes Nvidia GB300 NVL72 rack-scale system and the Nvidia HGX B300 NVL16 system.
  • Nvidia GB300 NVL72 connects 72 Blackwell Ultra GPUs and 36 Arm
  • Neoverse-based NVIDIA Grace CPUs. That setup enables AI models to tap into compute to come up with different solutions to problems and break down requests into steps.
  • GB300 NVL72 has 1.5x the performance of its predecessor.
  • Nvidia argued that Blackwell Ultra can increase the revenue opportunity of 50x for AI factories compared to Hopper.
  • GB300 NVL72 will be available on DGX Cloud, Nvidia's managed AI platform.
  • Nvidia DGX SuperPOD with DGX GB300 systems use the GB300 NVL72 rack design as a turnkey architecture.

Blackwell Ultra is aimed at agentic AI, which will need to reason and act autonomously, and physical AI, which is critical to robotics and autonomous vehicles.

To scale out Blackwell Ultra, Nvidia said the platform will integrate with its Nvidia Spectrum-X Ethernet and Nvidia Quantum-X800 InfiniBand networking systems. Cisco, Dell Technologies, HPE, Lenovo and Supermicro are vendors that will offer Blackwell Ultra servers in addition to a bevy of contract equipment providers. Cloud hyperscalers AWS, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure will offer Blackwell Ultra instances along with specialized GPU providers such as CoreWeave, Crusoe, Nebius and others.

Constellation Research analyst Holger Mueller said:

"Nvidia is doubling down on its platform with Blackwell Ultra but also the the software and storage stack. At the same time Nvidia knows it has to fight to stay in the cloud data center as the cloud vendors are building out their inhouse AI platforms. Robotic automation - creating workloads for Nvidia is another strategy thar Huang and team are pursuing.

Huang threw chipmaking in a tizzy announcing Blackwell in a 1 year cycle from Hopper, unheard of in chip making. Nvidia has delivered.

The question is how do Nvidia's plans stack up vis-a-vis the cloud vendors in-house plans. Do AWS and Microsoft have a chance? Does Nvidia cut into Google's TPU lead?  If Nvidia can have AWS and Microsoft give up building their custom chips it's a mega win."

Dynamo: An open-source inference framework

Blackwell-powered systems will include Nvidia Dynamo, which is designed to scale up reasoning AI services. Nvidia Dynamo is designed to maximize token revenue generation and orchestrate and accelerate inference communication across GPUs. Huang said Dynamo is the "operating system of the AI factory."

Dynamo separates the processing and generation phases of large language models on different GPUs. Nvidia said Dynamo optimizes each phase to be independent and maximize resources.

Key points about Dynamo include:

  • Dynamo succeeds Nvidia Triton Inference Server.
  • By disaggregating workloads, Dynamo can double the performance of AI factories. Dynamo features a GPU planning engine, an LLM-aware router to minimize repeating results, low-latency communication library and a memory manager.
  • When running the DeepSeek-R1 model on a large cluster of GB200 NVL72 racks, Dynamo boosts the number of tokens by 30x per GPU.
  • Dynamo is fully open source and supports PyTorch, SGLang, Nvidia TensorRT-LLM and vLLM.
  • Dynamo maps the knowledge that inference systems hold in memory from serving prior requests (KV cache) across thousands of GPUs. It then routes new inference requests to GPUs that have the best match.
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Adobe's plan: Leverage agentic AI for CX, unify platform

Adobe laid out its customer experience vision that includes multiple purpose-built AI agents, automated experiences that can adapt on the fly and scaling personalization.

That vision, unveiled at Adobe Summit, is aimed at creating a stack that includes agentic AI, automation and a platform that addresses creative marketing, the content supply chain and a unified customer experience.

Among the key Adobe Summit announcements:

  • Adobe launched the Adobe Experience Platform Agent Orchestrator, which includes prebuilt agents, Adobe Brand Concierge for B2B and B2C and a partner ecosystem.
  • The company also launched a series of GenStudio updates for the content supply chain. Adobe outlined GenStudio for Performance Marketing, GenStudio Foundation, Firefly Services, Firefly Creative Production and Express for Business. These tools do everything from activating content, curating and surfacing content options, streamlining reviews and using Firefly services without code.
  • Adobe launched new apps including Adobe Journey Optimizer, Experimentation Accelerator, AEM Sites Optimizer, Commerce Optimizer and additions to the company's B2B portfolio. These optimization tools are integrated with Adobe's customer data platform and include integration with content and campaign workflows and analytics.
  • B2B applications including B2B Agents and enhancements for Adobe Journey Optimizer and Customer Journey Analytics. The idea is to bring B2B data, content and journey orchestration together to cover each step of go-to-market operations.

Here's a look at how Adobe will deploy agents and orchestration throughout its platform.

Across the platform, there are 10 prebuilt agents. Adobe is going for the use cases--site optimization, content production, workflow orchestration, data engineering and insights and journeys--that deliver the returns for its customer base. The Experience Platform Agent Orchestrator includes multi-agent collaboration, a reasoning engine and CX language models.

Bottom line: Adobe's move to weave agentic AI throughout its platform and target markets can create what the company calls One Adobe. Dan Durn, EVP and CFO, explained the big picture on Adobe's first quarter earnings call.

Adobe reports strong Q1, adds Firefly subscriptions

"Adobe’s business has grown over the last decade by delivering world-class products grouped within three clouds: Creative Cloud, Document Cloud and Experience Cloud. In parallel, we have continued to expand cross-cloud offerings to better serve different Customer Groups. Examples include Acrobat which is reflected in Creative Cloud and Document Cloud; GenStudio which includes Creative Cloud, Express, Firefly Services and Experience Cloud; Enterprises who want to engage with One Adobe and combine Creative seats with marketing automation; and increasingly Acrobat and Express.

We believe Adobe’s success will be driven by innovation in service of both Business Professionals and Consumers and Creative and Marketing Professionals. Reporting insights and the financial performance across these customer groups will provide a clear view of Adobe’s execution against our strategy."

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Google buys Wiz for $32 billion, will add to Google Cloud's cybersecurity lineup

Google has acquired Wiz for $32 billion in an all-cash deal that will add to Google Cloud's revenue growth going forward.

The two companies were reportedly in talks about a deal valued at $23 billion a year ago. With the move, Google Cloud is leaning into cybersecurity since it already owns Mandiant.

According to Google, the Wiz purchase will give Google Cloud the ability to combine AI and cloud security across multiple clouds.

Wiz has a security platform that connects to multiple clouds and code environments including AWS, Microsoft Azure and Oracle Cloud. The company caters to companies and organizations of multiple sizes. Google said the combination of Wiz and Google Cloud will automate security at scale, lower costs, use AI to protect against new threats and respond to breaches and boost adoption.

Thomas Kurian, Google Cloud CEO, laid out the rationale for the Wiz purchase on a conference call:

"With Wiz, we believe we will vastly improve how security is designed, operated and automated, providing an end to end security platform for customers to prevent, detect and respond to incidents across all major clouds and code environments. Wiz is already an important Google Cloud partner. Wiz was recognized as our security partner of the year, and by coming together, we believe we can help customers create a stronger foundation for cloud security with a portfolio that solves for tomorrow's requirements. Our vision is to bring each of our unique strengths together to offer customers and partners a highly differentiated, Unified Security Platform."

When the deal closes, Google Cloud will include Google Threat Intelligence, Google Security Operations and Mandiant Consulting as well as Wiz. Kurian said Wiz will remain committed to offering multi-cloud security. Also: Google Cloud revenue up 30% in Q4, Alphabet results mixed

Constellation Research's take

Chirag Mehta, analyst at Constellation Research covering cybersecurity, said:

"Google's acquisition of Wiz underscores the growing importance of cloud security, particularly as enterprises accelerate large AI workloads into the cloud. However, Google faces considerable challenges in successfully closing this acquisition. The $3.2 billion termination fee—nearly 10% of the deal's total value—provides Wiz with significant protection, reflecting potential regulatory uncertainty that previously disrupted similar negotiations. Although Wiz has been a strategic partner to Google Cloud, a substantial portion of its customer base currently uses Azure and AWS.

Google’s experience with multi-cloud offerings through previous acquisitions, such as Looker, will be beneficial. Nevertheless, delivering cloud-native security solutions on cloud platforms outside its direct control introduces an entirely new set of complexities. Google's ability to navigate these challenges—while retaining Wiz’s existing Azure and AWS customers—will be crucial to making this acquisition successful in the long term."

Recommendations for customers from Mehta, who has been tracking Google's purchase of Wiz for a year:

"If you are currently a Wiz customer but not on Google Cloud, we strongly recommend you to engage proactively with Wiz and Google to understand the roadmap for continued support and integration on non-Google Cloud environments. Given the regulatory uncertainty around this acquisition, customers running workloads primarily on Azure or AWS should ensure they have clear contingency strategies to safeguard their cybersecurity investments.

If you're a Google Cloud customer but not currently using Wiz, we encourage you to evaluate Wiz’s capabilities alongside Google Cloud’s native as well as integrated third-party cybersecurity offerings, as cybersecurity is set to become a strategic focus and significant investment priority for Google Cloud. This acquisition signals deeper, more integrated cybersecurity capabilities, as Google Cloud continues to grow.

According to Google Cloud, the addition of Wiz will create a unified security platform, threat intelligence and new threat protection along with AI agents."

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Zoom evolves AI Companion with agentic AI features

Zoom Communications is adding a set of agentic AI capabilities to Zoom AI Companion so it can take actions across its platform for collaboration and customer experience.

With the move, Zoom becomes the latest vendor to put its spin on AI agents. Zoom AI Companion will get the ability to take action and orchestrate and enterprises can create custom agents.

The obvious move for Zoom includes agentic AI across Zoom Meetings, Zoom Phone, Zoom Team Chat, Zoom Docs, and Zoom Contact Center. The company is also adding customer experience capabilities including Virtual Agent for voice, AI intent routing and Advanced Quality Management.

However, Zoom is also extending Zoom AI Companion to work with third party agents and specifically mentioned an integration with ServiceNow. Zoom noted that AI Companion will know when to work with third-party and custom agents to complete tasks.

According to Zoom, the Custom AI Companion add-on, which will be available in April for $12 per user per month, will be able to work with small language models and the company's third party large language models.

Zoom said its new small language models "are trained with extensive multilingual data, optimized for specific tasks to perform complex actions, and well-positioned to facilitate multi-agent collaboration."

Although Zoom is updating its own platform with agentic AI it's clear that the company is laying the groundwork to be a player in the broader orchestration layer. Zoom launched Zoom Drive, which will be a central repository for productivity assets across Zoom Workplace.

Here’s the Zoom AI Companion stack with bring-your-own model capability being offered in the future.

Zoom is also launching industry-focused versions of Workplace for Frontline, Clinicians and Education. Zoom Workplace for Frontline will launch in April and Zoom Workplace for Clinicians will be delivered at the end of March.

Here's the rundown of what Zoom announced for AI Companion:

  • AI Companion will be able to manage calendars, schedule meetings, develop clips quickly and assist on writing.
  • Zoom said AI Companion will extend to specialized agents behind Zoom Business Services. Zoom said AI Studio will be able to create customized virtual agent. Zoom Revenue Accelerator will launch in the months ahead.
  • The company said its platform will be able to interact with third-party agents.
  • Enterprises will be able to create custom agents that work with third-party agents on service, sales, IT and HR requests.
  • Custom AI Companion add-on will be able to create custom meeting templates and dictionaries, and access custom meeting summaries for use cases.
  • Zoom Tasks with AI Companion will work across the platform to connect tasks together across Zoom Workplace.
  • AI Companion will get live notes for Meetings and Phone and can generate voicemail summaries and support Zoom for Microsoft Teams app.
  • Zoom Docs will have advanced references and queries via AI Companion. AI Companion can also automatically create data tables.
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Kore.ai launches AI agent platform, eyes orchestration

Kore.ai launched a platform to develop, deploy and manage agentic AI applications as a bevy of players race to become the orchestration layer for AI agents.

The Kore.ai Agent Platform aims to enable enterprises to create AI agents with various ranges of autonomy and connect them to applications via more than 100 prebuilt connectors for structured and unstructured data.

In recent weeks, AI agent orchestration across platforms has been a focal point for enterprise vendors. ServiceNow's latest release of its Now Platform has a bevy of tools to connect agents and orchestrate them. Boomi launched AI Studio. Kore.ai, which is in Constellation Research's Shortlist for Conversational AI has a solid service offering that can ride on top of contact center systems. Kore.ai has traditionally been focused on industry use cases.

With its Agent Platform, Kore.ai is looking to tailor agents from guided agents to autonomous systems.

The platform includes:

  • Search and data AI that brings context into conversations via RAG, hybrid keyword and multi-vector weighted search, query pipelines and context enhancement.
  • Tools to design conversational workflows, build agentic apps and manage the system.
  • Multi-agent orchestration with routing, context switching and business rules.
  • A range of options for autonomy.
  • Support for any AI model, system, data source or cloud environment.
  • Prompt and evaluation studios to refine agent behavior.
  • Agent Platform SDK to extend the platform and design custom agents.
  • Agent Protocol, which is a standardized API for agents on various platforms to communicate.
  • Observability features to explain AI decisions.

AI Agents Marketplace with pre-built templates for agents and connectors. Kore.ai is focusing on industry templates for banking, healthcare, retail, HR, IT and recruiting.

Kore.ai is also using its Agent Platform to unify its portfolio. AI for Service is aimed at customer experience with AI for Work focused on employee productivity. The company also has AI for Process to automate processes and operations.

 

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Leveraging AI for Data-Driven Marketing & Research Insights | AX100 Spotlight

In a recent interview with Constellation Editor in Chief Larry Dignan, Hotwire's Chief Growth Officer, Laura MacDonald shares how her team uses #AI to enhance their marketing and research efforts. 

Rather than focusing solely on AI-generated content, Hotwire has built an AI-powered search and discovery tool to analyze data from various sources quickly. This allows them to uncover key trends, topics, and pain points most important to their target personas, like CTOs.

By asking the AI to respond as different personas, Hotwire gains a deeper understanding of how various decision-makers research and evaluate solutions. This #data-driven approach informs their marketing campaigns and content strategy, empowering the human team to be more creative and impactful.

Lauren also discussed the importance of personalization based on user interactions, not personal data, and the need to establish proper guardrails around AI to maintain data privacy and security.

This interview showcases how leading organizations leverage AI as a strategic co-pilot rather than just a content creation tool. Watch the full conversation to learn how to harness AI to drive more effective marketing and research.

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Rubrik, cyber resilience hitting inflection point

Cyber resilience is a simple concept: You're going to be hit by a data breach. What matters is how quickly you recover.

Rubrik's fourth quarter results, which were better than expected, hammered home how enterprises are focusing more on cyber resilience. During Rubrik's conference call, cyber resilience was mentioned 30 times.

CEO Bipul Sinha said:

"If you look at cyber resilience, what we are telling our customers is that a assumed breaches will happen to you. And if you have to have an assumed breach posture, how do you ensure that you understand the risk in your most critical assets as well as your services? And how do you ensure that your services are up and running even when confronted with cyber attacks.

Think about the fundamental risk to the data comes from the user interaction with the data. The user could be human or nonhuman identities."

Constellation Research analyst Chirag Mehta has been talking about cyber resilience and recovering from data breaches. His Shortlist on Cyber Resilience features Rubrik as well as Cohesity, which is also a leader due to the acquisition of Veritas’ data protection unit. Mehta noted:

"Cyber resilience solutions go beyond traditional backup and recovery to ensure data integrity, rapid restoration, and business continuity following a breach or disruption. These solutions are designed with a post-breach resilience mindset, enabling organizations to bounce back quickly and minimize operational downtime while protecting critical assets.

Boards are no longer satisfied with the 'we have controls in place' argument. Their focus has shifted toward ensuring that organizations are truly breach-ready, with the ability to recover operations swiftly and mitigate the impact of cyber incidents. They want to understand how resilient their business and technology landscape is in the face of an attack—how quickly they can restore critical functions, limit financial losses, and, most importantly, prevent lasting brand damage."

Rubrik has been public a year and has been able to build out its business nicely. A partnership with Microsoft has also helped Rubrik grow. Rubrik also raised its fiscal 2026 outlook. Sinha said that CIOs and CISOs are focusing on securing data across multiple environments.

"What is clear is that companies are undergoing multiple technology transformations to find success in the AI era. As organizations prepare their infrastructure for generative AI and replatform to accelerate cloud adoption, they quickly realize the need for a modern data security strategy that provides robust cyber resilience," said Sinha.

Rubrik has been benefiting from the ability to protect data across clouds. The company cited a proof of concept where it protected and managed data across AWS and Microsoft Azure and was able to cut infrastructure and storage costs. Rubrik was also able to show an ability to recover 98% faster than native recovery tools.

Sinha noted that Rubrik is early in its journey and plans to accelerate product innovation and seed future growth. On March 4, Rubrik launched new Identity Recovery for Active Directory and Entra ID and introduced new tools to recover from cyber incidents including machine learning detection, orchestrated recovery and new threat hunting capabilities.

The numbers

Rubrik reported a fourth quarter net loss of $114.89 million, or 61 cents a share, on revenue of $258.1 million, up 47% from a year ago. Non-GAAP loss for the fourth quarter was 18 cents a share, well above estimates.

For fiscal 2025, Rubrik reported a net loss of $7.48 a share on revenue of $886.5 million, up 41% from a year ago.

As for the outlook, Rubrik projected first quarter revenue of $259 million to $261 million with a non-GAAP loss of 31 cents a share to 33 cents a share.

For fiscal 2026, Rubrik projected revenue of $1.145 billion to $1.161 billion with a non-GAAP earnings per share loss of $1.13 to $1.23.

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Enterprise vendors starting to feel economic, federal government uncertainty

Technology vendors are likely to start trimming their outlooks or say they are back-half loaded as macroeconomic concerns and an inability to plan due to tariffs take a toll.
 
Not all vendors will take the hit, but those with sizeable federal government businesses are saying March has indicated businesses may slow. Meanwhile, enterprises are likely to take longer to make decisions on technology.
 
It's not a groundswell of enterprise tech vendors yet with guidance cuts, but mainstream consumer companies have all noted that spending has pulled back. Delta and American Airlines noted that travel trends have slowed including business. Retailers have noted soft trends. Wireless providers including Verizon and AT&T have also said something similar.
 
And consumer confidence is tanking. Data from the University of Michigan is also showing the consumer is starting to crack. The Index of Consumer Sentiment in March was 57.9, well below 64.7 in February and 79.4 a year ago. The Index of Consumer Expectations in March was 54.2, down from 64 in February. 
 
The tripwire on economic concerns has been hit in the last two weeks. For instance, the most recent Chief Executive CEO Confidence Index fielded March 4 and March 5 found that CEOs' rating current business conditions fell 20% from January.
 
With an earnings barrage due in April and the first quarter closing in two weeks, it won't be surprising if enterprise tech vendors start echoing what we've just heard from those who reported in the last week.
 
Consider UiPath. The federal government is its third largest vertical. The company's fourth quarter earnings were swell, but the outlook was off. The word "federal" was mentioned 11 times on the fourth quarter conference call. UiPath, an automation platform, said agentic 50 times, but often the future was combined with uncertain.
 
 
CEO Daniel Dines said:
 
"We continue to work closely with our federal customers and their feedback is consistent. Our agentic platform drives tangible efficiencies and is a part of their go-forward roadmap. At the same time, we acknowledge that in the short term, the government is working through administration priorities, which we will work to support. And we have factored this into our linearity and our overall guidance for the year. There has also been a significant increase in volatility in the overall macroeconomic environment, particularly in the last two weeks.
 
In recent discussions with customers, the external environment has created uncertainty around their budgets. Foreign exchange rates have also significantly fluctuated over the last week. Given these trends, we are taking a measured for fiscal 2026, adding additional prudence to our overall guidance given the volatile environment. We are confident that we are appropriately factoring in the macro trends as we see them today."
UiPath Ashim Gupta said in some cases the federal government is putting moratoriums on procurement for new contracts. Gupta said UiPath feels good about the value they provide, but the company has to give DOGE and the new administration "the appropriate space to let them work through the transition and continue to demonstrate our partnership and value."
 
SentinelOne, a AI cybersecurity vendor, reported earnings March 12 just like UiPath did. The company's outlook was lighter than expected because it is discontinuing a product line, but SentinelOne said economic caution was warranted.
 
CFO Barbara Larson said:
 
"We're mindful of macroeconomic conditions, deal timing and federal spending uncertainty. In addition, we're focused on delivering efficiencies and that means prioritizing our investments in data, cloud and especially AI."
SentinelOne CEO Tomer Weingarten said in the long run, the federal government's focus on efficiency could be good for business. For now, the level of spending is uncertain.
 
Weingarten said:
 
"There's definitely a level of unknown and uncertainty. There's no question that there's a lot of change that's happening. With that, we've actually seen our federal pipeline expand. I would also say for the type of offering that we can cater to for federal agencies, and especially given that we're one of the only security vendors that can sell AI into a FedRAMP High type of an environment.
 
In many cases, we actually create cost synergies. At the same time, I would say, there is maybe some unclarity on deal timing and budgets, and we're just working at the pace of the customer."
Working at the pace of the customer may become a common refrain. HPE CEO Antonio Neri also flagged federal government uncertainty, but demand is uncertain. How enterprises are impacted is also unclear at the moment. Neri said on HPE's first quarter earnings call.
 
"On the federal side, it depends on which agency you're working with. So far not a significant slowdown, but remember, the HPE Company provides core tech infrastructure for the Department of Defense and Department of Energy and many agencies that provide national security of sorts. And therefore, that has not been seen, but we see what happened next. Hard to predict at this point in time."
HPE Marie Myers added that the company is also trying to navigate uncertainty like most manufacturers. She said:
 
"Recent tariff announcements have created uncertainty for our industry, primarily affecting our Server business. We are working on plans to mitigate these impacts through supply chain measures and pricing actions. Through these efforts, we expect to mitigate to a significant degree the impact on the second half of the year and to a lesser extent the impact on Q2 as it takes time to implement mitigations."
Even for big enterprise vendors that are seen as an efficiency fix, the pause is spending is likely to be seen. ServiceNow CEO Bill McDermott said the company hasn't seen a headwind yet, but it's not unusual that federal government spending pauses a bit with a new administration. McDermott's comments were made March 3 at a Morgan Stanley investor conference.
 
He said:
 
"It's not unusual, especially with the focus on efficiency and driving that value for the citizens of The U.S. and dealing with the deficit challenges and so forth that it could be a timing situation. So, we're very transparent on that, but I haven't seen evidence of that yet. And I actually see a tremendous amount of evidence, and we've gotten this feedback incidentally, that our platform maps beautifully to attacking the cost, the assets not being fully utilized, the mission of sending people back to the office."
 
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Hotwire's Laura MacDonald on AI's role in marketing personalization, analytics


Laura MacDonald, Chief Growth Officer of Hotwire, said AI's role in marketing and communications has only grown, but practitioners need to ensure quality data is training models and humans are adding the creativity. 

I caught up with MacDonald, a 2025 AX100 customer experience leader, at Constellation Research's Ambient Experience conference. Here are the takeaways.

AI for data analysis: Hotwire uses AI to analyze data and provide recommendations for better marketing campaigns. The AI acts as a co-pilot, quickly generating answers and campaign ideas. However, AI doesn't replace human creativity. "We can use AI to a certain point to get much more, much quicker to answers and comments, but you still need that human element from a creativity and content point of view," said MacDonald. 

AI Search Discovery Tool: Hotwire has developed an AI tool that aggregates data from various sources to understand user behavior and identify key trends. This tool uses synthetic personas to gather information and optimize future responses.

For instance, AI can help marketers take a persona such as a CTO in the US and then role play to create a composite. "We're asking the chat bot questions based on the role of a CTO. There are some big caveats, but it's pulling from data and content to say these are the questions that have been asked before. It gets you there faster," said MacDonald.

Personalization: AI can personalize responses based on user interactions, but it doesn't access external personal data. The personalization is limited to the information provided during the conversation. "I think you're going to see more personalization based on your behavior and what has been said," said MacDonald. "AI agents will be able to say, 'this is what I've learned' and here's what's going to benefit this person vs. another offer. It should make a better experience."

Other key items from our conversation.

  • Human Creativity: While AI is useful for data analysis and quick answers, human creativity remains essential for effective content creation and campaigns. Marketing AI will always need a human in the loop.
  • Data Challenges: The biggest challenges in AI implementation are ensuring data quality and compliance with security and privacy laws. AI is only as good as the data it's trained on.
  • Ethical Considerations: There's a need for guardrails to ensure AI provides a great user experience without overstepping ethical boundaries or asking for unnecessary information.
Data to Decisions Marketing Transformation Next-Generation Customer Experience B2C CX Chief Marketing Officer