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BT150 Spotlight: Centurion Health's Johnny Wu on delivering healthcare in prisons

BT150 Spotlight: Centurion Health's Johnny Wu on delivering healthcare in prisons


Centurion Health Chief Clinical Officer Johnny Wu is used to technology workarounds in healthcare since his company is focused on serving patients in prisons.

I caught up with Wu at Constellation Research Connected Enterprise to talk shop. Here are some of the takeaways from Wu, a BT150 member of the 2024-2025 class.

The role. Centurion Health provides healthcare inside of prisons and part of Wu's role is delivering care when it has to work around technology restrictions. "We provide care inside of prisons and it's challenging due to the limitations of prisons--concrete, rebar, lack of being able to bring in cell phones--but we are trying to provide care by going directly to patients," said Wu. "We have a captive audience, but sometimes we don't have access to them."

Technology workarounds. Wu said the company is starting to use tablets and use telehealth inside prisons. "I provide direct patient care and oversee that, but the IT department is constantly building datasets so we can provide better care in real time," he said.

There are no electronic health records that are standardized across states. Wu said:

"There's a lot of jurisdictions that we have to deal with. Each state has its own prison health system. There's also the federal system, and then the county jails, and they don't communicate. They have different budgets. You could be working in a system where they have very robust resources and electric health records. Some are actually still working on paper."

Multiple requirements and regulations. Wu said each contract in the prison system has different contract requirements and regulations. Centurion Health is a centralized group that attempts to standardize across the US, but often there's a consultation with the local level on how to make things work.

What Wu would fix? Wu said:

"We need to just move away from the mindset that we have to do things the way we've always been doing it, and then adding technology. We just need to start fresh. I would like to be able to have mobile technology, be able to have Wi-Fi or cellular service inside the prisons. I have folks who I can't even communicate with because there's no way for them to have a cell phone inside the prison while they're working."

Telehealth. In prisons, telehealth is typically a standalone machine sitting in front of a patient with a chaperone. On the other hand, the provider could be remote in another location. Wu said:

"However, the software that goes through the internet is very limited, very impersonal. We're moving towards to be able to have using peripherals where we've actually gotten permission to collect data. We can collect heart rates, sounds of their hearts, their lungs, and in real time the provider at the other end can hear this and adjust treatment plans."

Wearables. Wu said Centurion Health has been looking to use wearables, but "security trumps everything." He said:

"Wearables are made to be too small and for consumers. For our world, a wearable could be swallowed or hidden. It poses a challenge to have permission to use wearables. We have to rig and make our own type of wearables, which is not always ideal, but we do what we can. We're looking at using sonar to be able to collect some information, but we're working in the house of custody where we don't own the physical plant or office space. We can't make changes that easily."

How things have changed. "The client understands that there's an obligation to provide health care and you have to make sure each side is supporting each other. When I started my career in correctional medicine I was working in a broom closet or sometimes a jail cell. Today new prisons have medical people involved with the design," he said.

Rewarding part of job. "Patient care is rewarding," said Wu. "A lot of times it's as simple as going into a facility and talking to people. They remember me and it's just rewarding to know that people appreciate what we do," he said.

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HPE Q4 strong as server revenue surges due to AI

HPE Q4 strong as server revenue surges due to AI

HPE reported better-than-expected fourth quarter results as server revenue surged due to AI demand. HPE also said that it expects its acquisition of Juniper Networks to close in early 2025.

The company said it has a backlog for AI systems orders to more than $3.5 billion.

HPE reported fourth quarter earnings of 99 cents a share on revenue of $8.5 billion, up 15% from a year ago. Non-GAAP revenue in the fourth quarter of 58 cents a share.

Wall Street was expecting HPE to report fourth quarter earnings of 56 cents a share on revenue of $8.26 billion.

HPE CEO Antonio Neri said the company's portfolio of hybrid cloud, AI and networking was paying off. HPE is also seeing strong traction in Greenlake adoption. 

Server revenue in the fourth quarter was $4.7 billion, up 32% from a year ago. Intelligent edge revenue, which includes Aruba gear, was $1.1 billion, down 20% from a year ago. Hybrid cloud revenue was $1.6 billion, up 18% from a year ago.

As for the first quarter outlook, HPE projected non-GAAP earnings of 47 cents a share to 52 cents a share. Revenue is projected to grow at a mid-teens percentage clip.

For the year ended Oct. 31, HPE reported earnings of $1.93 a share on revenue of $30.13 billion.

Constellation Research analyst Holger Mueller said:

"HPE had a very good quarter with servers leading the way fueled by the AI demands of enterprises. Had the networking segment not stalled, it could have been a record quarter for HPE. Costs grew as well, but overall results got bumped by gains on equity sales,  which doubles profits and EPS. The soon to be commencing addition of the Juniper business will give HPE another 4 quarters of favorable YOY comparisons, so things are looking up for HPE." 

Speaking on the earnings conference call, Neri said the following:

  • "Our AI systems demand remains strong. We have received new orders bringing AI systems backlog to over $3.5 billion. Our traditional server business also continues to reflect the improved market dynamics. Hybrid cloud revenue grew 18% year-over-year and 21% sequentially, resulting in revenue of $1.6 billion, with increasing revenue for HPE Private Cloud and continued growth in HPE Storage."
  • "Customer adoption of our HPE Alletra Storage MP solutions continues to rise at an accelerated pace. Since launch, we have sold approximately 3,000 systems."
  • "We see the enterprise AI pipeline continue to grow steadily. There are hundreds of customers on that pipeline. There are some very interesting large-sized deals in the pipeline, and they are doing proof-of-concept. We announced the co-engineered solution with NVIDIA in June, and we made it available September 9. We had 7 weeks to be able to collect orders. We already collected orders in enterprise AI and we already closed deals in enterprise AI."
  • "Customers are also asking us to help them simplify their VMware private clouds and optimize their virtualization costs. At HPE Discover Barcelona 2 weeks ago, we launched HPE VM Essentials, which enables customers to manage their virtualization states across HPE VMware and many others."

 

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BT150 Spotlight: Centurion Health's Johnny Wu on delivering healthcare in prisons

BT150 Spotlight: Centurion Health's Johnny Wu on delivering healthcare in prisons

In this BT150 Spotlight interview, Constellation Insights editor in chief Larry Dignan sat down with Johnny Wu, the Chief Clinical Officer of Centurion Health, one of the largest healthcare providers in the correctional space.

Wu shared his unique insights and experiences on the challenges and opportunities of leveraging technology to improve healthcare delivery for incarcerated patients. From utilizing telehealth and mobile devices to exploring custom-built wearables, Johnny discussed Centurion Health's innovative approaches to overcoming the prison environment's significant logistical and security constraints.

This interview provides a fascinating look into technology's critical role in transforming correctional healthcare and the tireless efforts of professionals like Johnny Wu to deliver quality medical services to those behind bars.

Check out the full interview to learn more about the innovative work at the intersection of technology and prison healthcare.

On <iframe width="560" height="315" src="https://www.youtube.com/embed/cBr44YFYfNU?si=2mdDoin4DOBWWX6Q" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>

AWS Marketplace adds 'Buy with AWS' as it expands reach, woos procurement departments

AWS Marketplace adds 'Buy with AWS' as it expands reach, woos procurement departments

Amazon Web Services has added new features to AWS Marketplace that will resonate with enterprise procurement teams, grow the cloud provider's reach and bring Amazon's commerce knowhow to partner websites.

At re:Invent, AWS fleshed out its AWS Marketplace strategy with three launches:

  • Support for granular purchase orders across all product and pricing types. This move enables spend tracking, expedited payment processing times, post purchase PO updates and pay-as-you-go pricing as well as flexible payment schedules.
  • Multi-currency private offers and non-USD bank account support. This addition to AWS Marketplace eliminates currency fluctuations and risk for buyers and adds support for EUR, GBP, AUD and KRW at launch.
  • Buy with AWS, which gives partner websites the ability to transact with AWS Marketplace listings. Think of Buy with AWS as AWS Marketplace to go. Buy with AWS is an effort to take AWS Marketplace everywhere and enable purchase on independent software vendor sites, power distributor cloud marketplaces and give channel partners the ability to host curated storefronts and resell AWS Marketplace listings.

AWS Marketplace momentum

AWS Marketplace has quietly built momentum in recent years and it's clear that the effort has gained in importance. For enterprise buyers, a more frictionless purchasing experience is critical because CxOs already limited time is gobbled up by contracts, legal teams and haggling. One of the big benefits of AWS Marketplace is that it standardizes contracts to a large degree and compresses contacting cycle time by as much as 50%.

At re:Invent 2023, AWS reduced listing fees for AWS Marketplace. Today, AWS Marketplace features more than 5,000 sellers from 39 different countries selling products across 70 categories. There are 2.5 million active subscriptions from AWS Marketplace.

A few more recent items:

Speaking at Constellation Research's Connected Enterprise, Phil Potloff, GM of AWS Software Marketplace, said the company is focusing on the buyer experience. "Customers have moved more of their IT infrastructure to the cloud and that's where they're running third-party software," said Potlaff. "We look at upfront discovery. Buyers want to evaluate software without a sales pitch. We focus on time to value. We look at IT buyer and procurement friction. We're a way to control spend with standardized contracts."

Navigating a sprawling vendor landscape

While AWS Marketplace features software from IBM, Salesforce, ServiceNow, CrowdStrike and others, it has become a channel for startups. AWS cited Orca Security as a startup that has leveraged AWS Marketplace to drive 800% revenue growth. Another startup, Drata, derives 40% of its revenue from AWS Marketplace deals.

Chirag Mehta, Constellation Research analyst, said enterprise buyers have three types of marketplaces. The most high profile marketplaces are from hyperscale cloud providers. Business application marketplaces are also prominent. Data and AI marketplaces are also emerging for enterprises.

Each of those categories have established vendors and new entrants for enterprises to consider. "It's incredibly difficult to discover, try and buy so customers are looking to reduce friction, enable employees to use tools and have governance," said Mehta.

The plan for AWS Marketplace is to expand choices on its own platform and extend it into channel partners via Buy with AWS. Via Buy with AWS, customers can request demos, get custom pricing and procurement while using AWS accounts. That avenue can expand partners' ability to sell custom applications.

IBM has expanded the availability of its software portfolio on AWS Marketplace to 92 countries with its AI and data technologies serving as the headliners. IBM is offering its software directly on AWS Marketplace as well as via partners. More than half the deals closed on AWS Marketplace in 2024 were new clients for IBM.

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CEO Shifts, Sports Innovation, AI in Customer Experience | ConstellationTV Episode 94

CEO Shifts, Sports Innovation, AI in Customer Experience | ConstellationTV Episode 94

📺 ConstellationTV episode 94 is here! Co-hosts Holger Mueller and Liz Miller kick things off by analyzing the latest CEO moves in #tech, including #Workday's new hire Rob Ansel and #AWS's new CMO Julia White. 

Next, catch a fascinating discussion with Holger and Jonathan Becher of the San Jose Sharks about the innovative use of #AI technology in professional sports. 

Round out the episode with a CR #CX convo between Liz and Nick Delis of Five9 about organizations moving from the "year of failure" in 2023 to the "year of execution" in 2025 when it comes to AI implementation in customer experience. 

00:00 - Meet the Hosts
01:11 - Enterprise tech news
15:30 - Interview with Jonathan Becher, San Jose Sharks
33:11 - Interview with Nick Delis, Five9
58:31 - Bloopers! 

ConstellationTV is a bi-weekly Web series hosted by Constellation analysts, tune in live at 9:00 a.m. PT/ 12:00 p.m. ET every other Wednesday!

On ConstellationTV <iframe width="560" height="315" src="https://www.youtube.com/embed/HYE5gLN6kow?si=QrpAoM8DSsMz3Zxc" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>

CEO Shifts, Sports Innovation, AI in Customer Experience | ConstellationTV Episode 94

CEO Shifts, Sports Innovation, AI in Customer Experience | ConstellationTV Episode 94

📺 ConstellationTV episode 94 is here! Co-hosts Holger Mueller and Liz Miller kick things off by analyzing the latest CEO moves in #tech, including #Workday's new hire Rob Ansel and #AWS's new CMO Julia White.

Next, catch a fascinating discussion with Holger and Jonathan Becher of the San Jose Sharks about the innovative use of #AI technology in professional sports.

Round out the episode with a CR #CX convo between Liz and Nick Delis of Five9 about organizations moving from the "year of failure" in 2023 to the "year of execution" in 2025 when it comes to AI implementation in customer experience.

00:00 - Meet the Hosts
01:11 - Enterprise tech news
15:30 - Interview with Jonathan Becher, San Jose Sharks
33:11 - Interview with Nick Delis, Five9
58:31 - Bloopers!

ConstellationTV is a bi-weekly Web series hosted by Constellation analysts, tune in live at 9:00 a.m. PT/ 12:00 p.m. ET every other Wednesday!

On ConstellationTV <iframe width="560" height="315" src="https://www.youtube.com/embed/HYE5gLN6kow?si=QrpAoM8DSsMz3Zxc" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>

AWS CEO Garman Q&A: Model choices, competition and AI's future

AWS CEO Garman Q&A: Model choices, competition and AI's future

AWS CEO Matt Garman at re:Invent 2024 elaborated on the company's strategy to serve up foundational building blocks, Intel's future, model choices, sustainability and why storylines about Trainium competing with Nvidia are misplaced.

Most of Garman’s comments were follow-ups on the happenings at re:Invent. Here’s the news stack:

In a Q&A with analysts, Garman covered the following points:

Customers leveraging foundation models. Garman said customers will build, buy and fine tune a wide selection of models. Garman said:

"Customers are going to use a wide range of models, and they'll fine tune some of the models in Bedrock, and they will build their own. The answer is evolving. You'll find it easier to build a model from scratch with your own proprietary set of data. There’s going to be a lot of customers who are continuing to do that on SageMaker. We're seeing no amount of slowing down of customers doing that."

Nova models .AWS launched its new Nova models to replace Titan. "Nova will be replacing the Titan model as it's such a leap forward from where we were and wanted a whole new brand around them."

Intel. Garman said that manufacturing in the US is critical and he's hopeful that the company can get to being a leading foundry. Garman said:

"They're incredibly important to the country, and so I think I'm hopeful that they get to a good place. Not sure that I would like to fund them, necessarily, but I think it's super important. I'm hopeful that that Intel can get back to being a leading foundry.

"I think having all of the leading edge foundries in one location in Taiwan is probably not the best for just the global supply chain."

Power and sustainability. Garman said AI will need a lot more electricity and power, but hyperscalers will have to become much more efficient. Garman said:

"The compute is getting much more efficient. Every cycle of compute today is getting more and more efficient. I would love for the computers get as efficient as the human brain. We haven't invented that technology yet. In the meantime, we're planning for the electricity needs for the next decade that we project. It's not just us. There's much more demand for power.

It's important for us to keep pushing towards carbon zero power. And so, we continue to make really large investments in renewable energy. We're making investments in nuclear. It's just a part of the portfolio of power that we're going to need."

Garman noted that Amazon has commissioned multiple renewable energy projects.

The balance between abstraction and primitives. Garman said AWS will aim to improve compute, storage and database as well as the abstraction layer. Garman said:

"I don't think that it's either or. I think we're absolutely focused on the primitives and improving things like storage and database. We think there's tons of innovation and custom silicon and compute and networking. I think inference is a core building block. We're investing a lot in services that are more abstract and help customers be more efficient in their jobs. We'll do both of those things. And I think there's a there's enough room for innovation across all those different levels."

Cybersecurity approach. Garman was asked why AWS doesn't try to monetize cybersecurity. He said AWS spends billions of dollars on cybersecurity that's hopefully invisible to most customers. "There's a lot of great partners out there and they do a fantastic job," said Garman. "We're happy to partner with them."

Product approach. Garman was asked about AWS' approach between product teams to create different building blocks. He said that approach has driven innovation because teams aren't interdependent on each other. "If you have 50 teams that all have to be in lockstep to deliver something you're going to move slow," said Garman. "Our strategy has been to let those teams invent and move fast. I appreciate that approach introduces some complexity for customers and we're moving to cover that."

He noted that SageMaker Studio is an example of an effort to bring those building blocks together seamlessly. "SageMaker is an elegant example of making it easier to operate with a whole set of tools on common data sets," said Garman. "We can do that because we have all these core components behind the scenes. We will keep innovating."

Simply put, there won't be fewer services from AWS-like ever.

GenAI model choice. Garman said choice is important to AWS, but the company will have "to keep getting better about helping customers choose the right thing."

"We'll have to figure out new ways to help and thinking about model routing, thinking about how you do AB testing and which model is giving customers better outcomes," he said.

Garman was asked about Amazon's Anthropic investment and he noted that the companies are close partners that learn a lot from each other.

Amazon Q. Garman said that Amazon Q can have a wide reach from a more neutral position. "The real power with Q Business is this Q Index that can index data across your different SaaS providers. AWS has recognition as a trusted source there and bringing data together," he said.

Garman said that Amazon Q can democratize data and analytics for business roles as Q Apps serve as an abstraction layer.

The false narrative of Trainium vs. Nvidia. Garman was asked about competition with Nvidia and he noted that there wasn't any story there. He said:

"It's about more options for customers. If we can lower costs and more inference is done it's not going to be at Nvidia's expense. Nvidia is an incredibly important partner. I think the press wants to make it us vs. them but it's just not true."

Garman also noted that Graviton didn't take workloads from Intel or AMD.

On-prem AI workloads. Garman said the scale of genAI requires the cloud because the systems become so complicated quickly. He said:

"I think the scale required means AI is a cloud workload. You can take these smaller models and run them on premise today, and I do think that there's maybe some interesting things there. If you think about distilling smaller models or running inference at the edge, I do think that that is an interesting idea. But kind of training big models and things like that is a cloud centric thing. It's just not practical."

 

Data to Decisions Innovation & Product-led Growth Future of Work Tech Optimization Next-Generation Customer Experience Digital Safety, Privacy & Cybersecurity AWS reInvent aws amazon AI GenerativeAI ML Machine Learning LLMs Agentic AI Analytics Automation Disruptive Technology Chief Information Officer Chief Executive Officer Chief Technology Officer Chief AI Officer Chief Data Officer Chief Analytics Officer Chief Information Security Officer Chief Product Officer

AWS adds capacity sharing, training plans to SageMaker HyperPod, marketplace for Bedrock

AWS adds capacity sharing, training plans to SageMaker HyperPod, marketplace for Bedrock

Amazon Web Services added capacity sharing and training plans to Amazon SageMaker Hyperpod and added Lumi AI and Poolside models to Amazon Bedrock's selection of third party models. AWS also launched Amazon Bedrock Marketplace.

The news was announced at a re:Invent 2024 keynote by Dr. Swami Sivasubramanian, VP of AI and Data at AWS. AWS add-on to the previous updates to SageMaker and Bedrock.

With Amazon SageMaker HyperPod, AWS added the following:

  • Capacity sharing and allocation and governance tools so enterprises to share large pools of compute, set priorities for teams, projects and tasks and schedule them based on priorities.
  • Training plans so customers can optimize genAI models based on hardware, budget, timelines and region constraints. Training plans will automatically move work across availability zones.
  • Recipes for data scientists and engineers to start training and fine-tuning popular foundation models in hours. These recipes are curated for training and ready to use for popular models. These recipes can be set up to swap hardware to optimize performance and lower costs.

For Bedrock, AWS added new models from Luma AI, a specialist in creating video clips from text and images, and Poolside, which specializes in models for software engineering. Amazon Bedrock has also expanded models from its current providers such as AI21 Labs, Anthropic, Cohere, Meta, Mistral, Stability.ai and Amazon.

The addition of Amazon Bedrock Marketplace will give customers the ability to try models and balance cost and performance. Amazon Bedrock Marketplace has access to more than 100 emerging and specialized foundation models.

Sivasubramanian said:

"With Bedrock, we are committed to giving you access to the best model for all your use cases. However, while model choice is critical, it's really just the first step when we are building for inference. Developers also spend lot of time evaluating models for their needs, especially factors like cost and latency that require a delicate balance."

Bedrock also was updated with intelligent prompt routing, which will automatically route requests among foundation models in the same family. The aim is to provide high-quality responses with low cost and latency. The routing will be based on the predicted performance of each request. Customers can also provide ground truth data to improve predictions.

More from re:Invent:

 

 

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Amazon Bedrock vs. DIY approaches benchmarked

Amazon Bedrock vs. DIY approaches benchmarked

Amazon Bedrock handily outperforms do-it-yourself approaches for common generative AI use cases as platform-as-a-service simplifies enterprise adoption, according to a Constellation Research report by Holger Mueller.

The report landed as Amazon Web Services outlined Bedrock updates with AI orchestration and revamped SageMaker. The storyline for SageMaker and Bedrock is that they are better together. Bedrock is a serverless genAI platform that makes it easy for enterprises to build out from curated models. SageMaker is a platform that's designed for AI, data and machine learning workflows for more advanced and customized deployments.

Mueller's report looks at four use cases for Bedrock including agent creation and operation, retrieval-augmented generation (RAG), guardrails, and AI workflows. Mueller also outlines enterprise AI challenges and offers best practices.

The upshot is that platform-as-a-service offerings for genAI are going to become critical to enterprise AI adoption. Enterprises are struggling with lack of skills, multiple models, a pressure to pick winners and a breakneck innovation cadence. Enterprises are also finding traditional innovation best practices don't hold up with genAI.

Here are a few takeaways that stick out from Mueller's report on Amazon Bedrock benchmarking.

  • Agent creation with Amazon Bedrock takes 11 hours compared to 123 hours minimum.
  • RAG with AWS knowledge bases vs. DIY approaches takes 9 hours to 11 hours on Bedrock compared to a minimum of 84 hours for DIY.
  • "The results of this report are clear for CxOs: Do not go down the DIY path, but instead use PaaS tools such as Amazon Bedrock to achieve the outcomes your enterprise requires to be a winner in the AI era," said Mueller.

More from re:Invent:

 

Data to Decisions Innovation & Product-led Growth Future of Work Tech Optimization Next-Generation Customer Experience Digital Safety, Privacy & Cybersecurity AWS reInvent aws amazon AI GenerativeAI ML Machine Learning LLMs Agentic AI Analytics Automation Disruptive Technology Chief Information Officer Chief Executive Officer Chief Technology Officer Chief AI Officer Chief Data Officer Chief Analytics Officer Chief Information Security Officer Chief Product Officer

Salesforce Q3 results, Q4 outlook mixed as Agentforce optimism abounds

Salesforce Q3 results, Q4 outlook mixed as Agentforce optimism abounds

Salesforce posted a mixed third quarter and fourth quarter outlook as revenue was up 8% from a year ago. The company saw revenue growth decelerate sequentially across multiple categories, but executives were bullish on Agentforce prospects.

The company reported third quarter earnings of $1.58 a share on revenue of $9.44 billion. Non-GAAP earnings in the third quarter were $2.41 a share. Salesforce said it took a hit of 17 cents a share due to investment losses.

Wall Street was looking for third quarter non-GAAP earnings of $2.44 a share on revenue of $9.34 billion.

As for the outlook, Salesforce projected fourth quarter sales between $9.9 billion to $10.10 billion compared to estimates of $10.05 billion. Salesforce projected non-GAAP earnings of $2.57 a share to $2.62 a share compared to estimates of $2.65 a share.

For fiscal 2025, Salesforce projected revenue of $37.8 billion to $38 billion.

CEO Marc Benioff said the company is seeing strong interest in its Agentforce effort.

Salesforce saw sales growth deceleration in integration and analytics (MuleSoft and Tableau) with third quarter revenue growth of 5%. Platform and other (think Slack) saw third quarter revenue growth of 8%, down from 10% in the second quarter.

Here's a look.

Constellation Research analyst Holger Mueller said:

"Cost for subscription and support is down - $70 million or 4.8%. Not sure if Salesforce let go of support people here -- but it maybe an indicator that old on premise instances are more expensive as Salesforce customers have been moving to public cloud. But running all these agents should be a bump up in cost."

On the earnings conference call, Benioff outlined how Agentforce is being deployed within Salesforce. Although Agentforce isn't turning up in Salesforce's remaining performance obligations executives were bullish. Here's a look at some of the key comments:

  • "We're seeing this demand for Agentforce, which just became available on October 24th, and we're already seeing this incredible velocity, more than 200 Agentforce deals just in Q3. It doesn't mean anything because the pipeline is in the thousands for potential transactions that are coming up in future quarters," said Benioff.
  • The company has deployed Agentforce on help.salesforce.com so enterprises can see agents in action.
  • Salesforce is trying to hire about 1,000 to 2,000 more salespeople.
  • "We expect that our own transformation with Agentforce on help.salesforce.com and in many other areas of our company is going to deflect between a quarter and a half of our annual case volume and in optimistic cases, probably much, much more of that," said Benioff.
  • Salesforce is customer zero for Agentforce. "We're deploying Agentforce to engage our prospects on Salesforce.com, answering their questions 24x7 as well as handing them off to our SDR team," said Brian Millham, President of Salesforce. "We'll use our new Agentforce SDR agent to further automate top-of-funnel activities from gathering leads, lead data for providing education and qualifying prospects and booking meetings.
  • Agentforce deals are usually part of Service Cloud offerings. "Service Cloud is our largest cloud and our initial Agentforce opportunity is with our Service Cloud customers right now and we saw a ton of add-ons happening in our customer base with Service Cloud. But what our customers also recognize is that this is a platform," said Millham, who added Sales Cloud, Marketing Cloud and Data Cloud will also see Agentforce add-ons.
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