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AWS, Salesforce expand partnership with Amazon Bedrock, Salesforce Data Cloud, AWS Marketplace integrations

AWS, Salesforce expand partnership with Amazon Bedrock, Salesforce Data Cloud, AWS Marketplace integrations

Amazon Web Services and Salesforce expanded their partnership in a deal that will put Salesforce applications on AWS Marketplace, integrate Amazon Bedrock into Salesforce's ecosystem and better connect Salesforce Data Cloud to AWS services.

The announcement, made at AWS re:Invent, plays on the theme of foundational model choice as well as seamless data flows for joint customers.

According to the companies, Salesforce will support Amazon Bedrock, AWS' managed service for foundational models with one API. Amazon Bedrock will also be available through Salesforce's Einstein Trust Layer. Salesforce Prompt Builder will give customers the ability to send templates to their preferred foundational models available on Bedrock.

Model choice in generative AI applications will be a big theme at AWS' annual customer conference. AWS' approach is to offer a series of models for developers to easily leverage for generative AI applications. Model choice has been elevated as a topic given the OpenAI soap opera.

Constellation Research analyst Holger Mueller said:

"This deail is a key win for AWS Bedrock as AWS needs to implement its AI platform into SaaS vendor platforms, to ensure uptake and with that guarantee further cloud revenue. On the other side it is announcement that had to happen, since Salesforce is already using AWS as one of its public cloud platforms."

The availability of Salesforce applications on AWS Marketplace is also notable because it will give AWS to subscribe, manage and track Salesforce spending. Data Cloud, Service Cloud, Sales Cloud, Industry Clouds, Tableau, MuleSoft, Platform and Heroku will be available on the AWS Marketplace. Joint customers can buy Salesforce products through AWS Marketplace now and Salesforce said it will expand in 2024.

On the data front, Salesforce said Salesforce Data Cloud will expand data sharing across AWS including S3 via centralized controls. The companies said customers can use zero-ETL technologies and unite data visibility across Salesforce with integrations between Data Cloud and Amazon Elastic Compute Cloud (Amazon EC2), Amazon Elastic Kubernetes Service (Amazon EKS) and AWS Lambda.

Other key items include:

  • Salesforce agreed to expand its usage of AWS services.
  • Salesforce Service Cloud and Amazon Connect will tighten integrations for voice, digital engagement, forecasting, capacity planning and agent scheduling as well as generative AI tools.
  • Salesforce said Heroku will be revamped as a platform-as-a-service layer across Salesforce and AWS. Integrations will cover model training instances, Amazon CodeWhisperer and Einstein Copilot Studio. "Mueller said the Heroku news is interesting because it "helps developers bridge the gap between Salesforce and AWS services for their next generation applications." 
  • Product integrations will be available in 2024.

Related:

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BT150 interview: Wayfair CTO Fiona Tan on transformation, business alignment and paying down tech debt

BT150 interview: Wayfair CTO Fiona Tan on transformation, business alignment and paying down tech debt

Fiona Tan, CTO of Wayfair, said alignment between business and technology is critical--especially when navigating a demand surge and a pivot to efficiency. The key to navigating the change is to have a platform mindset.

At Constellation Research's Connected Enterprise conference, I caught up with Tan, a Constellation Research BT150 member, to talk about business and technology alignment, transformation and being nimble enough to scale up and down. Before becoming CTO at Wayfair, Tan was Global Head of Customer and Supplier Technology at Wayfair, and Head of Technology at Walmart US. Tan also managed engineering teams at WalmartLabs, Ariba and Tibco Software.

How Wayfair's tech transformation aims to drive revenue while saving money Get this customer story as a PDF

Here are the highlights of our conversation.

Wayfair scaling up amid a demand boom and then honing its cost focus. When the Covid-19 pandemic hit, Tan said Wayfair was well along with a migration to the cloud. "We were fortunate that we moved a lot of things so in some ways we were well protected when we scaled up," said Tan. The challenge came after the pandemic waned and consumers had already upgraded homes and offices. Tan said the thinking at the top would be that high growth rates would stay, but the home category saw a pullback. The pullback was "a good forcing function to go back to be really proficient with our costs from a technical perspective and operational perspective," said Tan. "We've been able to really focus on growth and profitability and continue to grow our market share."

Business and technology alignment. Since Wayfair is digitally native the business case is usually enabled by technology. "My leadership team is there to ensure we have the right platform and infrastructure from a technology perspective to enable us to grow in a flexible, scalable, lean way," said Tan, who noted that everything from customer reviews to service and support to marketing is enabled by a platform mindset.

Tan said:

"We work closely on great business use cases. One thing I appreciate is that a lot of our stakeholders realize there's tech enablement of the business that's important. Our stakeholders on the commercial and operational side are very open to technology and that comes from being a digitally native company."

Wayfair's value chain. Tan said the lens of technology at Wayfair revolves around the entire value chain since it orchestrates third party suppliers and customer purchases. Wayfair is merchandising to customers, managing logistics and the supply chain. "For suppliers, we're making sure that we provide them with a platform that enables them to sell their products and represent them in the best way possible," said Tan. "We are shipping and handling some of the toughest things to ship. We support both the commerce part as well as the supply chain operations."

Metrics for success. Tan said her metrics revolve around the KPIs for the business. "From a company perspective, it’s about making sure we have the right products at the right price for customers with selection and availability," said Tan. For instance, Wayfair needs to understand and analyze supplier parts and goods, know the customer, customize offerings, and support marketing. All of those functions will have their own metrics.

Technical debt. Tan said a big focus with Wayfair's transformation is retiring technical debt. "We've been doing a lot of work to pay down technical debt," said Tan. "We are trying to harness the latest technology to fix problems." Tan added that CIOs should look to legacy code, databases, procedures and processes to see what can be reused elsewhere. "There's always something new to learn and maybe something old is going to come back to address a use case," said Tan.

What's ahead for 2024? "We will be focusing on our tech transformation and continuing to enable new capabilities," said Tan. "I think there will be some interesting changes in how customers interact and we'll need new user experiences." She said generative AI can make buying home goods more conversational. Tan added that large language models also can be useful for text and imagery used for presentations.

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I'm thankful that Sam Altman is back as OpenAI CEO because LLMs shouldn't be controlled by middle school cliques

I'm thankful that Sam Altman is back as OpenAI CEO because LLMs shouldn't be controlled by middle school cliques

This Thanksgiving I'll be thankful that I won't have to care (even slightly) about who is running OpenAI. The saga is over (until it isn't). Sam Altman is back as OpenAI CEO.

You really can't make this up. But you can question who is driving a technology as important as generative AI. For now, any enterprise customer of OpenAI can stop wondering if the company and its APIs will exist.

On X, Altman said (punctuation his):

i love openai, and everything i’ve done over the past few days has been in service of keeping this team and its mission together. when i decided to join msft on sun evening, it was clear that was the best path for me and the team. with the new board and w satya’s support, i’m looking forward to returning to openai, and building on our strong partnership with msft.

Microsoft CEO Satya Nadella said:

We are encouraged by the changes to the OpenAI board. We believe this is a first essential step on a path to more stable, well-informed, and effective governance. Sam, Greg, and I have talked and agreed they have a key role to play along with the OAI leadership team in ensuring OAI continues to thrive and build on its mission. We look forward to building on our strong partnership and delivering the value of this next generation of AI to our customers and partners.

OpenAI has a new board:

We have reached an agreement in principle for Sam Altman to return to OpenAI as CEO with a new initial board of Bret Taylor (Chair), Larry Summers, and Adam D'Angelo. We are collaborating to figure out the details. Thank you so much for your patience through this.

And MC Hammer is stoked.

For a recap.

On Black Friday, we'll start questioning why ChatGPT was owned by what appears to be a middle school (a highly valued one). On Monday, every CIO that bet on OpenAI will be asked about backup plans and why she bet on one LLM vendor. The answer (probably not laid out as directly): Because the board demanded something generative AI without any thought about governance so I went for speed. 

Earlier, I questioned whether we had too many large language models to choose from. We'll still have too many, but choice will matter more than ever. Don't put all of your LLMs in one basket. In fact, grab an open source model, add your proprietary data to it and make it your own. At least you won't have to worry about your model being fired by a non-profit board.

To that end, Anthropic launched its latest model, Claude 2.1. You may want to check it out as it could be a good holding in your LLM portfolio. Or better yet, screw the models and ponder the abstraction layer so you can hot swap LLMs. 

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HP Q4 sales lighter than expected

HP Q4 sales lighter than expected

HP's fourth-quarter sales were light relative to expectations as personal systems revenue fell 8% from a year ago. HP's results are closely watched for signs of a PC recovery.

The company reported fourth-quarter earnings of 97 cents a share, or 90 cents a share non-GAAP, on revenue of $13.8 billion, down 6.5% from a year ago.

Wall Street expected HP to report revenue of $13.86 billion with non-GAAP earnings of 90 cents a share.

For fiscal 2023, HP reported earnings of $3.26 a share on revenue of $53.7 billion, down 14.6% from a year ago. Non-GAAP earnings were $3.28 a share for fiscal 2023.

HP CEO Enrique Lores said 2023 was "a year of steady progress" in a tough market.

By unit, HP's personal systems division reported revenue of $9.4 billion, down 8% from a year ago. Consumer revenue was down 1% with commercial systems sales falling 11%. Printing revenue was $4.4 billion, down 3% from a year ago.

As for the outlook, HP projected first quarter non-GAAP earnings of 76 cents a share to 86 cents a share. For fiscal 2024, HP is projecting non-GAAP earnings of $3.25 a share to $3.65 a share.

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Nvidia sees Q4 sales of $20 billion, up from $6.05 billion a year ago

Nvidia sees Q4 sales of $20 billion, up from $6.05 billion a year ago

Nvidia crushed third quarter estimates on the top and bottom lines as data center revenue was up 279% from a year ago. Nvidia also projected fourth-quarter revenue of $20 billion, up from $6.05 billion a year ago.

The company reported third quarter net income of $9.24 billion, or $3.71 a share, with revenue of $18.12 billion, up 206% from a year ago. Non-GAAP earnings were $4.02 a share.

Wall Street was expecting fiscal third quarter non-GAAP earnings of $3.37 a share on revenue of $16.18 billion.

In prepared remarks, Nvidia CFO Collette Kress said:

"Data Center revenue was a record, up 279% from a year ago and up 41% sequentially. Strong sales of the NVIDIA HGX platform were driven by global demand for the training and inferencing of large language models, recommendation engines, and generative AI applications.

"Strong sales of the NVIDIA HGX platform were driven by global demand for the training and inferencing of large language models, recommendation engines, and generative AI applications. Data Center compute grew 324% from a year ago and 38% sequentially, largely reflecting the strong ramp of our Hopper GPU architecture-based HGX platform from cloud service providers (CSPs), including GPU-specialized CSPs; consumer internet companies; and enterprises. Our sales of Ampere GPU architecture-based Data Center products were significant but declined sequentially, as we approach the tail end of this architecture."

CEO Jensen Huang said growth reflects the transition "from general-purpose to accelerated computing and generative AI." He said GPU, CPU, networking, and AI software are taking off.

As for the outlook, Nvidia said fourth quarter revenue will be $20 billion with GAAP gross margins of 74.5% (75.5% non-GAAP).

Kress also addressed Nvidia's China business and US trade restrictions on China. Nvidia's A100, A800, H100, H800, and L40S products will take a hit. Kress said:

"Our sales to China and other affected destinations, derived from products that are now subject to licensing requirements, have consistently contributed approximately 20-25% of Data Center revenue over the past few quarters. We expect that our sales to these destinations will decline significantly in the fourth quarter of fiscal 2024, though we believe the decline will be more than offset by strong growth in other regions."

Key recent developments:

 


By the numbers:

  • Data center revenue in the third quarter was $14.51 billion, up 279% from a year ago. 
  • Gaming revenue in the third quarter was $2.86 billion, up 81% from a year ago. 
  • Professional visualization revenue in the third quarter was $416 million, up 108% from a year ago. 
  • Automotive revenue in the third quarter was $261 million, up 3% from a year ago. 

Constellation Research analyst Holger Mueller said:

"If you wanted to see the demand and growth for AI in a single vendor’s balance sheet – Nvidia is it. Even in the hypergrowth era of other parts of the tech industry, vendors have not seen that balance sheet expansion--  operating income, net income and diluted EPS being around 600% at a double billion revenue run rate that will end up closer to $100B for the FY, than $10B. And for a hardware business, with unseen profitability increases – we have almost double quarterly revenue at Nvidia YoY and cost is only up by 15%. That is an un-hardwarish number, that even software vendors do not deliver. And if you think that a few years ago the concern was that no cloud vendor was using Nvidia now it is 50% of data center revenue. The good news is that inference workloads on Nvidia are growing as well and that AI needs fast networking, so its networking business is on a 10B+ runrate. The concern is only export controls to China but that will not concern investors too much, as Nvidia will find buyers for the slotted chips easily. Except for the software revenue, that is at $1B run rate now, things look good for Jensen Huang an team. No more questions on bitcoin, gaming and automotive for now."

Key takeaways from the Nvidia earnings call:

  • Kress said that cloud service providers drove roughly half of data center revenue. "Demand was strong from all hyperscale CSPs, as well as from a broadening set of GPU-specialized CSPs globally that are rapidly growing to address the new market opportunities in AI. We have significantly increased supply every quarter this year to meet strong demand and expect to continue to do so next year," she said.
  • Many countries are investing in their own AI infrastructure to support economic growth and industrial policy. Nvidia is working with India, France and other countries in Europe.
  • "Inference is contributing significantly to our data center demand, as AI is now in full production for deep learning, recommenders, chatbots, copilots and text to image generation and this is just the beginning," said Kress.
  • SAP and Amdocs are the first customers of the NVIDIA AI foundry service on Microsoft Azure.
  • Networking now exceeds a $10 billion annualized revenue run rate as data centers adopt InfiniBand.
  • Data center growth can continue through 2025. Huang said:

"We believe the Data Center can grow through 2025. And there are, of course, several reasons for that. We are expanding our supply quite significantly. We have already one of the broadest and largest and most capable supply chain in the world. Now, remember, people think that the GPU is a chip. But the HGX H100, the Hopper HGX has 35,000 parts, it weighs 70 pounds. Eight of the chips are Hopper. The other 35,000 are not. It is -- even its passive components are incredible.

High voltage parts. High frequency parts. High current parts. It is a supercomputer, and therefore, the only way to test a supercomputer is with another supercomputer. Even the manufacturing of it is complicated, the testing of it is complicated, the shipping of it complicated and installation is complicated."

More:

 

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BT 150 interview: Nate Melby, CIO Dairyland Power Cooperative on data, digital twins, smart grids, sustainability

BT 150 interview: Nate Melby, CIO Dairyland Power Cooperative on data, digital twins, smart grids, sustainability

Dairyland Power Cooperative, a La Crosse, Wis., is a utility designed to serve rural areas and supply power to customers in four states. It also sits in the middle of multiple trends including energy transition, sustainability and the convergence of information and operational technologies.

I caught up with Nate Melby, Chief Information Officer of Dairyland Power Cooperative, to talk utilities, transformation and IT. Melby is a Business Transformation 150 member.

Transformation and utilities. Melby said utilities are going through a massive transformation that extends from back-office, customer experience to the technology in the field. Operational technology is where the action is. Melby said:

"Not only are we transforming our information technology world, but we’re also transforming those operational technologies. We're in the middle of an energy transition. We're seeing the sources of our generation change and as we add more renewables to the grid, increased complexity creates some new use cases and new scenarios. We have to manage it all and try to do it at scale."

Renewable challenges. "One of the challenges is that the sun doesn't shine all the time, and the wind doesn't blow all the time. And our utilities in the Upper Midwest have extreme weather conditions. Winters are very cold," explained Melby. "How do we continue to sustain the right type of generation for the load that we have across our utility and make sure that we're resilient in the event of those extreme weather conditions?"

With renewables the technology behind the grid has to be smarter and nimbler. The evolution of the smart grid will have to evolve to be more real-time with data about power generation and overall performance. Melby said:


 

"You had a power plant that would run, and you could control that, but it would run in a steady state. With renewables, you have changes in real time. A cloud goes over a solar array, and the generation drops off for a certain period. We need to be able to control very quickly, and it's not a 15-minute decision in the future, but maybe real time interaction. We see opportunities for machine learning and artificial intelligence to apply that to those problems. There's some potential for us to automate that decision making to provide better control and more resilience."

When will this smart grid arrive? Melby said the smart grid concept is coming in faster than the industry is prepared for just because of demand and need. "We're seeing integration on the power grid before we even have a notion of a virtual power plant and what that could mean. Connecting different types of generation resources in a way we can predict and scale up and down generation with storage and renewables is critical," said Melby.

Digital twins and the grid. Melby said he sees "huge potential for digital twins in our industry." These digital twins could replicate multiple power plants and energy sources so utilities could understand proactive maintenance and the impact of decisions. "Multiply that example by fleet, add the renewables and you can essentially create a virtual model to predict your future performance," he said.

Are the data strategies in place to create virtual power plants? "It's a heavy lift, but one of the advantages of the utility space is that historical data and the capturing of historical data has always been something we've had to do," said Melby, who noted that utilities are regulated to keep 10 years of data. "We have really good foundational data, datasets and data structure. Leveraging that for the future is really about data governance. How do we build the right architecture and the right structure to leverage that data?"

Melby said the historical data at 15-minute and 5-minute intervals are useful, but the future grid will produce "an explosion of data points." "We're seeing exponential growth in data and that means an exponential growth in the data that we have to store. We will need platforms to manage all of that," he said.

Regulation, compliance and security. Melby said regulation, compliance and security has typically meant that utilities kept control of data in closed systems. AS a result, cloud computing has been used on the corporate side but not in operations. Melby said:

"We're now starting to see areas like energy management systems where the cloud is becoming part of it. The cloud architectures have to be built through the lens of managing security and compliance boundaries. Cloud adoption starts with energy management systems, and then distributed energy resource management, and the challenge is how you integrate operations of utilities across regions."

Efficiency and use cases. Melby said utilities are really about efficiency and improving business cases so they can operate at a lower cost and lower rates. "Our mission is to have the lowest rates possible, so we make decisions based on that," he said. Use cases to advance efficiencies revolve around weather prediction, proactive maintenance and managing resources.

Sustainability also overlaps with efficiency. Melby said.

"Sustainability is one of our largest goals. It intersects with technology, efficiency, and the data that we need to effectively manage the grid. Sustainability for us is also about the sustainability of our utility for the people that need us. We provide power in rural areas. We were created to solve the quality-of-life issue where it couldn't be profitable to provide power to rural areas. Our whole mission is to provide power at the lowest cost possible as efficiently and into the future with diverse resources. It's evolving as our industry has been changing, and we're seeing this energy transition happen."

 

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Zoom reports strong Q3, sees AI Companion uptake

Zoom reports strong Q3, sees AI Companion uptake

Zoom Video Communications reported better-than-expected third quarter as the company saw strong usage of its AI capabilities and better retention of small business customers.

The company reported third-quarter earnings of $141.2 million, or 45 cents a share, on revenue of $1.136.7 billion. Non-GAAP earnings in the quarter were $1.29 a share.

Wall Street expected Zoom to report third quarter earnings of $1.07 a share on revenue of $1.12 billion.

CEO Eric Yuan said Zoom's collaboration platform and Zoom AI Companion were showing traction. "We are also pleased with our Online business where we drove higher retention and saw usage of our new AI capabilities, enhancing the value of our platform," he said.

In prepared remarks, Yuan said that Zoom saw 220,000 accounts enabling Zoom AI Companion. Last quarter, Yuan was peppered with questions about generative AI monetization and the company's decision to not charge an add-on price for features. 

As for the outlook, Zoom is projecting fourth quarter revenue between $1.125 billion and $1.13 billion with non-GAAP earnings between $1.13 a share and $1.15 a share. For fiscal 2024, Zoom is projecting revenue between $4.506 billion and $4.511 billion with non-GAAP earnings of $4.93 a share and $4.95 a share.

Wall Street was expecting fourth quarter earnings of $1.13 a share and $1.15 a share and fiscal 2024 earnings of $4.66 a share.

By the numbers for the third quarter:

  • Enterprise revenue of $660.6 million was up 7.5% from a year ago. Online revenue--the more volatile self-serve accounts--was $476.1 million, down 2.4% from a year ago.
  • Zoom Phone reached about 7 million paid seats.
  • The number of customers on Zoom One bundles grew 330% from a year ago.
  • Zoom Contact Center hit nearly 700 customers at the end of the quarter.
  • Zoom ended the quarter with 219,700 enterprise customers, up 5% from a year ago.
  • 3,731 customers contributed more than $100,000 in revenue.
  • Online average monthly churn was 3% in the quarter, down 10 basis points from a year ago.
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Work in a generative AI world will need critical, creative thinking

Work in a generative AI world will need critical, creative thinking

Critical and creative thinking, problem solving, and design are the top skills employers are banking on as generative AI is widely adopted through 2028, according to an Amazon survey.

The survey, which lands roughly a week ahead of AWS' re:Invent conference, was based on 1,340 employers and 3,297 employees in the US.

Amazon outlined some key takeaways about usage--92% of respondents expect to use AI applications by 2028 with IT being the biggest beneficiary--but many of those items were known. Yes, we know generative AI will have a huge impact on multiple departments and routine tasks will be automated.

What's left out of many of these generative AI discussions is what skills will be necessary in the new work landscape. When you consider two years ago folks were preaching coding to kids. Today, generative AI does a lot of the heavy lifting. With that backdrop, Amazon's more detailed data in its PDF caught my eye.

In the report, Amazon wrote:

"Critical thinking is essential to evaluate the accuracy and relevance of AI outputs, while problem-solving helps optimize the capabilities of AI systems by defining and structuring analyses appropriately on available data. Ethics and risk management is also ranked as the fourth most important skill needed to use AI effectively. That’s because while AI can mimic many human skills and competencies, it still falls short in other areas, like emotional intelligence, contextual understanding, common sense, adaptability, ethics, and intuition."

Here's the data from the survey. More than half of respondents say thinking well will be key to using AI well. Technical skills were cited by 47%.

Also see: How Generative AI Has Supercharged the Future of Work | Generative AI articles | Why you need a Chief AI Officer | Software development becomes generative AI's flagship use case | Enterprises seeing savings, productivity gains from generative AI 

Not surprisingly, a lack of skills, knowledge and career paths were cited as barriers to AI adoption.

Other key items from the report include:

  • The interest in AI skills crosses multiple generations with GenZ and Millennial employees interested in developing AI skills checking in at 81% to 84% with Gen X at 78%. Indeed, 65% of Boomers were interested in AI skills too.
  • 47% of respondents said IT was the department expected to benefit the most from AI skills, followed by sales and marketing, finance and business operations.
  • 62% of employers expect generative AI to boost innovation and creativity, but only 52% of employees do. The two sides were roughly aligned on automating tasks. 

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Microsoft, OpenAI, Altman and the enterprise: What did we learn?

Microsoft, OpenAI, Altman and the enterprise: What did we learn?

In a boardroom drama designed for the TikTok generation, Sam Altman was ousted as CEO of OpenAI, negotiated for a return and then landed at Microsoft along with Greg Brockman to lead an "advanced AI research team." The fact Microsoft CEO Satya Nadella moved so quickly illustrates the high stakes.

Nadella said on X that it will remain a partner of OpenAI, led CEO Emmett Shear, Co-founder of Twitch, but added Altman and Brockman. Perhaps the biggest takeaway--at least for Microsoft's market cap--is that Nadella said:

"We have confidence in our product roadmap, our ability to continue to innovate with everything we announced at Microsoft Ignite, and in continuing to support our customers and partners."

For enterprises, that's about all you need to know about this OpenAI soap opera. A brief recap:

Given that OpenAI was the hub for a good bit of Microsoft's Copilot strategy, the software giant needed to manage through the OpenAI-Altman drama quickly and possibly use its own Azure models-as-a-service. On Friday, OpenAI said it fired Altman. Brockman resigned after the news. Key executives at OpenAI also started to bail.

Altman said on X that the "mission continues." The back-and-forth with Altman, Nadella and Brockman was only interrupted by Tesla and X CEO Elon Musk noting that Altman will have to use Teams now (Altman was fired on Google Meet).

Constellation Research CEO Ray Wang raised the questions about who will acquire OpenAI, where talent goes and the economics of generative AI. Here are a few other observations to ponder.

  • Microsoft and OpenAI were a perfect match between a massive company with resources and a startup that could innovate quickly--until it wasn't. This blueprint will be analyzed going forward as a strategy case study. Did too much of Microsoft's generative AI strategy hitched to just a few people that didn't work for the company?
  • Diversification matters. As I noted before, there can be too much choice in large language models. The trick is navigating how much generative AI choice gives an enterprise diversification. Bring your own model will look much better after this OpenAI fiasco.
  • Yes, you'll need a Chief AI Officer to sort vendor AI messes.
  • Own your intellectual property. The Microsoft-OpenAI weekend illustrates why your IP needs to be owned by you even if you're building on top of an LLM. The model that may emerge is one that revolves around first party data and open-source models.
  • Don't bet too much of your strategy on a startup. Yes, OpenAI was an odd duck with a board composed of non-profit types and venture capital types. Startups can give enterprises more innovation and attention but have a plan in case of an emergency.

 

 

 

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Retailers hope business, digital transformation efforts pay off for holiday shopping 2023

Retailers hope business, digital transformation efforts pay off for holiday shopping 2023

With holiday shopping season underway, retailers see uncertain consumer spending, better inventory positions, lower supply chain costs and customer experience investments they hope deliver.

Adobe is forecasting US online holiday sales of $221.8 billion (Nov. 1 through Dec. 31) in 2023. Salesforce noted that 2023 is all about keeping loyal customers happy and focusing on the experience metrics that matter.

For our purposes, retail in 2023 matters because the industry is arguably the best lab for digital and business transformation, analytics, customer experience and a bevy of technologies.

Here's a tour of how retailers are setting up for the holidays.

Walmart

Walmart's results are the barometer for consumer health and digital transformation.

"In the U.S., we may be managing through a period of deflation in the months to come. And while that would put more unit pressure on us, we welcome it because it's better for our customers," said Walmart CEO Doug McMillon.

Those comments rattled the stock market. CFO John Rainey added that consumers are making trade-offs and weekly performance metrics were softening at the end of October.

Like other retailers, however, Walmart is focusing on what it can control across its omnichannel experience. McMillion said:

"We're making shopping easier and more convenient. Our net promoter scores for pickup and delivery in Walmart U.S. are improving and we've started using generative AI to improve our search and chat experience. We've released an improved beta version of search to some of our customers who are using our app on iOS. In the coming weeks and months, we will enhance this experience and roll it out to more customers."

Rainey said omni-channel services such as pickup and store fulfilled delivery are driving growth. Walmart 24% e-commerce revenue growth in the third quarter and share gains among higher income households.

On the digital front, McMillon said Walmart is looking to blend its core retail business with new services including membership, third-party marketplaces, and advertising. The combination of these businesses with automation in the supply chain should provide a good mix of operating margins, growth and predictability.

Retail experiences all start at the back end. To that end, Rainey said:

"During the quarter, we opened our third next-generation e-commerce fulfillment center. These 1.5 million square feet facilities are expected to more than double the storage capacity, enable 2X the number of customer orders fulfilled daily, and will expand next and two-day shipping to nearly 90% of the U.S. including marketplace items shipped by Walmart Fulfillment Services. They also unlock new opportunities for our associates to transition into higher skilled tech focused positions."

Macy's

Macy's CEO-Elect Tony Spring said its customers at Macy's, Bloomingdales and BlueMercury will continue "to be under pressure and discerning and how they spend in discretionary categories we offer." He said Macy's is ready to fulfil orders online, in store and through its gift guides.

Spring also argued that the company's department stores can pivot with content and merchandise that goes where customers are headed.

On the digital front, Spring said that Macy's transformation is on track. The company is looking to run three distinct retailers with their own identities and a common data and technology approach. Spring said:

"We can learn from each other without becoming one another as we remove silos to optimize our collective customer insights.

We are also balancing art and science. I like to say that this is STEAM, not STEM. We are embracing data science tools, including AI and machine learning, to drive more accurate and agile decision-making based on changes in demand. This, married with the art of human judgment, helps us become more proactive and customer influenced."

Spring said Macy's will leverage data to create better experiences and scale its growth vectors. The growth vectors include private brands, small format stores, a digital marketplace, a focus on luxury and personalized offers and communications.

Macy's CFO and COO Adrian Mitchell said the company's supply chain is working well and the retailer has a good inventory position that's down 6% from a year ago and down 17% from 2019 levels. The company is seeing lower freight expenses and a better merchandise mix to boost gross margins. Mitchell said Macy's has also improved delivery expenses due to reductions in packages per order and distance traveled.

More retail and commerce: How Home Depot Blends Art and Science of Customer Experience | How Wayfair's tech transformation aims to drive revenue while saving money | Connecting Experiences From Employees to Customers

Target

Target CEO Brian Cornell said, "consumers continue to rebalance their spending between goods and experiences and make tough choices in the face of persistent inflation."

Cornell added that Target is cautious about the near-term outlook but playing the long game by "investing in our stores, our supply chain, our team, our digital capabilities and our assortment."

Same-day services saw high single digit growth on a same-store basis. Cornell said customers are pressured by interest rates, loan payments and less savings. With discretionary income down, consumers are making tradeoffs and waiting for sales.

John Mulligan, Chief Operating Officer at Target, said the retailer has faced multiple challenges over the last 3.5 years including a lack of inventory, a demand boom, a downturn, inventory bloat and normalization.

Mulligan added that Target is cautious about its inventory position, but in a good place so far. Target has also benefited from lower supply chain costs. Mulligan said:

"We've seen improvements in metrics relating to backroom inventory accuracy and the percentage of new assortments set on time. In the digital channel, the percentage of orders picked and shipped on time and the average Drive-Up wait time have all improved from last year. Also, in support of the digital business, the percentage of items ordered but not found has declined from a year ago, meaning that we are fulfilling more items per order and canceling fewer, a key factor in guest satisfaction."

Target is also looking to improve its guest experience as measured by Net Promoter Scores in categories such as checkout, front-of-the store interactions, and digital services.

The Children's Place

Jane Elfers, CEO of The Children's Place, said the company has managed inventory well in the third quarter, but saw higher distribution and fulfilment costs as it pivots to more e-commerce.

The plan for The Children's Place is to hone its digital game given that's how Gen Z will buy when that generation has children.

Elfers said:

"Our digital channels are clearly where our current core millennial customer prefers to shop for her kids. And based on the data, digital is where our future Gen Z moms will overwhelmingly prefer to transact. Almost all new digital buyers will come from Gen Z. Gen Z digital buyers nationwide are expected to surge from 45 million today to over 61 million in 2027, only four short years away. The importance of the digitally native Gen Z demographic to our future business cannot be underestimated, and we remain laser-focused on ensuring that digital is at the core of everything we do."

The current generation of core customers for the retailer remains under pressure, but Elfers said The Children's Place is playing the long game with accelerated digital transformation and fleet optimization. The goal is to "operate the company with less resources, including less stores, less inventory, less people and less expense, allowing us to better service our customer online where she prefers to shop, resulting in what we believe will translate to more consistent and sustainable results over time," she added.

According to The Children's Place, the pivot to digital marketing has paid off including a focus on social media presence.

Gap Inc.

New Gap CEO Richard Dickson said the company is looking to strengthen its "operating platform" as it is retooling its core brands--Gap, Old Navy, Banana Republic and Athleta. He said:

"In some areas, we are in good shape, but we have more work to do. Our supply chain is a pillar of strength at Gap Inc., where our scale gives us unique cost leverage, but we need to accelerate innovation. Our financial strategy is driving early value, but we need to continue our focus on rigor and efficiency. In technology, we’ve made strategic investments and now it’s about optimizing those investments and driving adoption across the organization."

Dickson said the scale of Gap Inc. should be able to boost operating margins. Gap Inc. has four billion-dollar brands with 2,600 company operated stores and 1.4 billion annual visits to the company's websites. The company also has 58 million active customers.

Williams Sonoma

Williams Sonoma CEO Laura Alber's third quarter results delivered record operating margins of 17% as it benefited from customer experience improvements and lower supply chain costs.

The company projected fiscal year revenue to be down 10% to 12% but raised its operating margin outlook to 16% to 16.5%.

Alber acknowledged that consumer spending remains challenged, but a portfolio of brands has enabled the company to weather uncertainty even as same-store sales fall.

"Our in-house design capabilities and vertically integrated supply chain are also key in producing proprietary products at the best quality value relationship in the market," she said.

During the company's third quarter earnings call, Alber outlined the following strategies going into the holiday season.

  • Introducing more new products at mid-tier and lower-tier price points without discounting.
  • Sell through inventories with lower supply chain costs by reducing out of market and multiple shipments.
  • Customer service improvements. Alber noted that Williams Sonoma's customer service metrics have returned to pre-pandemic levels as have on-time deliveries.
  • Leverage investments in last-mile delivery to reduce customer accommodations, returns, damages and replacements.
  • Continue to invest in digital experiences with content, tools for design projects and AI.

Dick's Sporting Goods

Dick's Sporting Goods Lauren Hobart said the company is targeting omnichannel athletes and giving them a good digital experience.

Hobart said:

"In combination with our stores, our digital experience remains an integral part of our success, and the investments we are making in technology are strengthening our athletes’ omnichannel experience and driving increased engagement. This quarter, we added 1.6 million new athletes and are further growing our base of omnichannel athletes. Omni channel athletes make up the majority of our sales and they spend more and shop with us more frequently than single channel athletes."

Hobart also said that the sporting goods retailer is investing in data science and personalization to create one-to-one relationships with athletes.

The company said that its consumer base is holding up well as they prioritize a healthy and active lifestyle.

Best Buy

Best Buy CEO Corrie Barry said "consumer demand has been even more uneven and difficult to predict" and the company lowered its fourth quarter revenue outlook. The technology retailer is focused on customer experiences, driving recurring revenue and offering new services.

"We continue to increase our paid membership base and now have 6.6 million members. This compares to 5.8 million at the start of the year," said Barry. My Best Buy Total is a $179.99 a year service that includes 24/7 Geek Squad Service, AppleCare Plus and two-years of product protection. My Best Buy Plus is a $49.99 a year tier that includes access to new products, two-day shipping, a 60-day return and exchange window and exclusive pricing.

Barry said the company is looking to drive interactions too.

"We have also seen growth in sales from customers who are getting help from our virtual sales associates. These interactions, which can be via phone, chat or our virtual store, drive much higher conversion rates and average order values than our general dot.com levels. This quarter, we had 140,000 customer interactions by a video chat with associates, specifically out of our virtual store locations."

In addition, the company continues to invest in its multichannel fulfillment operations. "As a reminder, while almost one-third of our domestic sales are online, 43% of those sales were picked up in one of our stores by customers in Q3. And most customers shop us in multiple channels," said Barry.

Best Buy is also bolstering its supply chain network to optimize the company's ship-from-store-hub and shipping locations to deliver with speed. About 62% of e-commerce small packages were delivered to customers from automated distribution centers. Those operations are supplemented with a delivery partnership with DoorDash.  

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