Results

Will amenities get you back to the office?

Despite a lot of talk and mandates about moving back to the office, enterprises are more likely to adopt hybrid work plans over the next three years, according to a Bank of America survey. That data point is just one of many highlighting how the future of the office is still being debated. 

The survey, Bank of America's 2023 Workplace Benefits Report, tackles a lot of workplace topics, but one big takeaway is that employers are likely to shift to more remote work. In fact, 55% of enterprises say they have an in-person work model, but over the next three years that percentage falls to 36%. Hybrid approaches are used by 39% of enterprises today but will surge to 47%. Seventeen percent of employers will go fully remote in the next three years.

There are multiple data points to consider for enterprises considering work models going forward.

  • According to the Bank of America survey, 51% of rural employees, 41% of suburban workers and 49% of urban employees say inflation is making it difficult to make ends meet. Cutting commute costs will matter to these employees.
  • Interest rates are higher, and companies will look to shed commercial lease obligations.
  • The National Association of Realtors said first half office vacancies hit a new record high of 13.1% nationwide in the first half of 2023. 

The NAR said in a report:

"With hybrid work arrangements allowing for a mix of in-person and remote work, a lot of office space is left empty. Meanwhile, in their effort to reduce their occupancy cost, tenants have decreased the average square footage per person leading to lower demand for space. The office sector is transforming to adapt to changing working arrangements and needs."

Chris Roeder, Executive Managing Director of Broker Lead, a corporate real estate advisor, said on DisrupTV that San Francisco will come back as startups return to the office. That productivity boost will lead to more office occupancy. Larger enterprises are slower to move back downtown, but AI startups are creating some optimism.

The big issue is whether companies can force employees back to the office. "I think there are some mandates but no enforcement," he said.

To get back to the office and revitalize downtowns, developers need to revamp the office experience, said Roeder.

"Most landlords downtown are talking about 'Ok, how do I create cold plunge saunas?'" said Roeder, who added that every amenity is being considered to make the office better than home. "How do you replace the kind of activity people get at home and then get more activation. All things are considered, and landlords are doing it. It's actually pretty fun to put these recommendations together."

Bottom line: The return to office theme has yet to be decided.

More research on the future of work:

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2023 Constellation ShortList Spotlight: ADP

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Accenture's Q4: What we learned

Accenture said generative AI deals are accelerating and enterprises are focusing on transformation even as they remain cautious about the economy.

Those takeaways were revealed on Accenture's fourth quarter earnings conference call. The company reported fourth quarter earnings of $2.15 per share on revenue of $16 billion, up 4% from a year ago. For fiscal 2023, Accenture reported earnings of $10.77 per share on revenue of $64.1 billion, up 4%.

Accenture projected first quarter revenue to be between $15.85 billion to $16.45 billion. For fiscal 2024, Accenture projected revenue growth of 2% to 5%.

Generative AI is great for services and consulting. In the third quarter, Accenture said it sold 100 generative AI projects with roughly $100 million in sales over the prior four months. In the fourth quarter, Accenture sold another $200 million in generative AI services for a fiscal year total of $300 million.

Overall, Accenture is working on about 300 generative AI projects. "Clients are doing a variety of different types of work from strategy and use case implementations to tech enablement, to scaling, to model customization, tuning and training, to talent and responsible AI," said Accenture CEO Julie Sweet.

The pace of generative AI adoption is unclear. "While all companies want to explore and understand gen AI, what we find is that clients who are more mature digitally want to go faster, while others would like to test the waters with proofs of concepts and synthetic data, and others prefer to wait until they have built more of their modern digital core," said Sweet. "The extent and pace of this generative AI progression will become more clear over the coming quarters as the technology and the market continue to mature and progress."

Sweet added that Accenture is seeing real generative AI projects in the $1 million range.

Caution remains. Sweet said the company has seen "greater caution globally, with lower discretionary spend, slower decision-making, and in particular for us, a significant impact from the challenges the comm, media, and tech industries have faced."

Accenture's fiscal year outlook assumes that there's no improvement in discretionary spending or the macroeconomic picture.

ERP modernization far from complete. "We are continuing to see significant demand in areas like cloud migration and modernization, modern ERP and data and AI, and the emergence of gen AI in particular, all of which represent areas of great opportunity. And it's still early," said Sweet.

Only a third of Accenture's clients have modernized their ERP platforms and less than 10% of customers have mature data and AI capabilities, said Sweet.

Related: Future of Finance and Supply Chain Processes | JPMorgan Chase: Digital Transformation, AI and Data Strategy Sets Up Generative AI | 2023 H1 CxO Business Confidence Survey

What CEOs are saying. Sweet said:

"I was with about 20 different CEOs and they had three messages, right? Tech is super important, that's number one. Number two, they already have major programs underway, and they know they need to do a lot more. But number three is they're feeling cautious about the macro, and we've already seen that in the small deals. But they're asking us to help them save money and be more focused right now, even on the bigger programs.

And so, what I would say is and that's reflected in our guidance is that, the macro is having an effect on the pace of spending right now."

 

 

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Workday lays out growth plans through fiscal 2027: Here are the takeaways

Workday said it is aiming to deliver annual subscription revenue growth of 17% to 19% over the next three years with a plan that revolves around expanding its enterprise wallet share, winning midmarket companies and international expansion.

That outlook comes after a bevy of announcements around generative AI and platform updates at Workday Rising in San Francisco. The outlook for fiscal 2027 disappointed Wall Street analysts.

Nevertheless, Workday's Financial Analyst Day offered a bevy of takeaways. Here's a look at the key points.

Workday is betting that the data across its platform will differentiate its approach to generative AI and large language models (LLMs). Workday's data set is based on more than 65 million users under contract, 50 million daily machine learning inference requests, more than 600 billion annual transactions and, more importantly, 3,000 customers who opted in to sharing data for machine learning models. Those customers sharing data enable Workday to launch new SKUs in the future.

Generative AI is product focused and geared internally toward efficiency. Workday said it is focused on delivering AI and generative AI within its products, expanding the ecosystem and using AI internally to lower costs.

Workday has been landing large enterprises, but the medium sized enterprise is just as important. Workday said it will expand internationally by targeting midmarket companies. Today, 25% of Workday's revenue is internationally. The plan is to leverage partners and run Workday's enterprise playbook abroad.

Industry-focused opportunities are underappreciated. Workday executives made the case that the company can expand with vertical efforts. Financial services and retail and hospitality have more than $1 billion in ARR, but Workday is also looking to expand in technology and media, healthcare, professional services, education and public sector.

Workday is looking to attach new applications on its platform as it upsells the customer base. The results are mixed. For instance, Workday Recruiting has a 75% attach rate, Talent Optimization is at 45% but applications like People Analytics are at 16%. Workday estimates that it has a more than $2 billion incremental ARR opportunity within its top 100 accounts.

Here's a look at the attach rates to Workday HCM and/or Workday Financial Management.

Workday Financial Management is key to Workday's growth plans. Workday said that more than 35% of new customers landed with Workday Financial Management either as a standalone subscription or part of a joint rollout with HCM. Workday said it will roll out more financial applications for industries and convert Workday Adaptive Planning to core Workday Financial Management. The company has also allocated more than half its sales capacity in fiscal 2024 to Workday Financial Management.

According to Workday, 75% to 80% of overall financials market is on-premise and can be moved to a cloud platform like Workday Financial Management.

Workday's fiscal 2027 financial goals are balancing growth and margins. Aside from its subscription revenue growth guidance, Workday CFO Zane Rowe noted that the company is looking to deliver non-GAAP operating margins of more than 25%. How? Focus R&D investments on AI and machine learning and using automation across the business. Operating cash flow targets of more than 30% will come from strong customer retention, industry expansion and Workday's platform approach.

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Co-pilot leaders, CX Convos, Salon 50 Roast | ConstellationTV Episode 66

Catch the latest episode of ConstellationTV: Co-hosts Liz Miller and Holger Mueller give the rundown of the latest #tech news trends, then catch a #CX convo between Liz and Nitin Badjatia, SVP of SAP Solution Management. The episode concludes with a #Salon50 roast of Larry Dignan

00:00 - Introduction
01:03 - Tech News (Oracle Cloud World, AI & co-pilot leaders)
15:42 - CR CX Convo with Nitin Badjatia, SVP of SAP Solution Management
26:41 - Salon 50 with Larry Dignan 35:18 - Bloopers!

ConstellationTV is a bi-weekly Web series hosted by Constellation analysts. The show airs live at 9:00 a.m. PT/ 12:00 p.m. ET every other Wednesday.

Subscribe to our YouTube Channel: https://lnkd.in/gsFWq66W

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CR CX Convos: SAP CX's Nitin Badjatia Tackles Intelligent CX

CX and how an organization orchestrates strategies to ensure that this enterprise-wide team sport develops durable profitable relationships with customers is undergoing a massive shift that is blurring the lines between functional fifedoms. So how will technology stacks and solutions follow suit? Constellation Research principal analyst covering CX sits down with SAP CX's Nitin Badjatia to discuss the shifting tides of function and functionality...and the big bite SAP took of its own CX stack to establish a more intelligent, intuitive and contextual application stack for its own customers. 

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Workday layers generative AI features throughout HCM, Adaptive Planning

Workday launched a series of HCM and Adaptive Planning update along with generative AI tools for enterprises, managers and developers. 

Workday's generative AI rollout and updates across its finance and human resources applications come as ERP vendors are racing to add features that streamline work, bolster productivity and deliver real-time insights. Rivals SAP and Oracle recently outlined generative AI updates across applications.

The company outlined the updates, strategy and approach to generative AI at its Workday Rising annual customer conference.

Executives reiterated that Workday's approach to generative AI is to leverage its models based on 625 billion transactions processed on its platform. Workday said it will use generative AI to create job descriptions on the fly, analyze and correct contracts to bolster revenue recognition, create knowledge management articles, streamline collections and use text-to-code models embedded in Workday App Builder. Additional generative AI capabilities will be deployed throughout the platform. Workday has said it plans to "offer generous usage based entitlements" for customers that opt-in to generative AI functionality. That approach could resonate with enterprise buyers, who are about to get hit with a bevy of generative AI upsells and add-ons.

Aneel Bhusri, Co-Founder and Co-CEO of Workday, said during a keynote that the company has more than 10,000 customers. He outlined Workday's AI strategy. "AI is treated like any other feature in Workday. Turn it on and it's ready to go," he said.

Workday is also focused on clean data and trust. "Transparency and understanding how the models are used mitigates risk," said Bhusri. 

Here's a look at the Workday Rising news:

  • Customers with Workday Human Capital Management (HCM) and Adaptive Planning will have a user interface that delivers workforce planning across finance and HR. The interface within Workday HCM will enable workforce planners to update and create new positions and have them reflected in financial and headcount planning in Adaptive Planning. Workday Adaptive Planning will also have an automated headcount reconciliation process to the position level. All changes can be viewed through a cost impact lens.
  • Workday said Manager Insights Hub is available within Workday HCM. Manager Insight Hub uses AI and machine learning to provide personalized recommendations to provide opportunities for employees based on skills and interests. Workday HCM will also get Flex Teams, which enables managers to identify talent and assemble teams using Workday Skills Cloud.
  • In addition to generative AI features to hone financial and work processes, Workday launched Workday AI Gateway within its Workday Extend program to provide developers with tools to build apps on Workday AI. Workday Extend was also updated with a no-code and low-code toolset and services to leverage skills analysis, sentiment, document intelligence and forecasts leveraging machine learning and AI. Developers will also be able to access multiple AWS AI services within Workday Extend. The company said Workday Extend Essentials and Workday Extend Professional will be available in late 2023 with AWS AI services available to Workday Extend Professional in the first half of 2024. 
  • Workday Adaptive Planning will have a new user experience based on generative AI and natural language queries. Officials said Workday Adaptive Planning users will be able to surface data, find contextually relevant insights and garner recommended actions based on conversational text. Workday Adaptive Planning will also get new tools for what-if scenarios, automated communication and report scheduling, performance upgrades for dashboards and machine learning enabled forecasts.
  • Workday also launched the Workday AI Marketplace, a curated set of partners with AI models and applications launching in the second quarter of 2024. Accenture, Amazon, Vertex and others are early partners. 

Most of the aforementioned features from Workday begin rolling out to customers within the next 6 to 12 months.

Workday also previewed some interface concepts based on generative AI queries with a focus on "simple and smart experiences."

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SAP launches Joule generative AI copilot, goes to 2-year S/4HANA Cloud major release cycle

SAP launched Joule, a generative AI copilot that will be embedded throughout SAP's cloud applications to deliver insights based on the company's platform data and third-party sources. SAP is trying to move its customers to S/4HANA Cloud and dangling innovations such as Joule to prod enterprises off of on-premises deployments.

In addition, SAP said it is moving to a two-year major S/4HANA release cycle with enhancements via feature packs every six months with 7-year maintenance. S/4HANA 2023 will be released Oct. 11. SAP also said it will make new innovations available for the SAP S/4HANA Private Edition. 

The Joule launch, delivered at SAP's Rise Into the Future event, kicks off what will be a series of generative AI announcements at SAP conferences such as SuccessConnect, SAP Spend Connect Live, SAP Customer Experience Live and SAP TechEd throughout October and November.

Joule will be available in SAP SuccessFactors and SAP Start later this year with SAP S/4HANA Cloud public edition in early 2024. Further updates on Joule's integration with SAP's platform will happen during its conferences in the weeks ahead. Pricing remains to be seen. Enterprises will have to start budgeting for Microsoft's Co-pilot add-ons as well as other monetization models from core vendors including ServiceNow, Salesforce, Adobe and Google.

The idea of generative AI across cloud ERP platforms isn't exactly new. For instance, Oracle at its Cloud World conference outlined generative AI additions across its cloud platform, multiple services and apps covering customer service, analytics and marketing and sales. Salesforce also has a broad generative AI push.

SAP's bet is that Joule will stand out amid the copilot sprawl in enterprise software due to the ability to tap data in mission critical systems, knowledge of multiple processes and the ability to learn from nearly 300 million enterprise uses using SAP cloud applications.

Constellation Research analyst Holger Mueller said:

"SAP keeps innovating around the fringes of ERP core, with key innovations in the core being limited to the green ledger – which is still out. SAP needs to realize two things: It needs to have compelling innovation in the core to make the upgrade to S/4 HANA a ‘no brainer’ business case – and at the same time offer a migration of the strategic extensions that customers will need. And as a planning tool – SAP needs to offer a roadmap for the next 3-5 years – so customers can plan their upgrade strategy."

According to SAP, Joule will be embedded in applications across human resources, finance, supply chain, procurement, and customer experience. Employees will be able to use natural language and get contextual insights. SAP said Joule will be able to flag supply chain issues, underperforming regions and content generation.

Here are a few screens illustrating how Joule will be integrated into ERP processes. 

At Sapphire in May, SAP outlined its generative AI ecosystem and partnerships with Microsoft, Google Cloud and IBM as well as investments in Aleph Alpha, Anthropic and Cohere.

More from SAP:

 

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MongoDB steps up generative AI rollout across platform

MongoDB launched a series of new features across its platform that illustrates that the company is staying aggressive on adding generative AI tools while remaining focused on developers.

The company outlined a trio of announcements at its MongoDB.local conference in London. Data platforms including Databricks, MongoDB and Snowflake all have different focuses but are beginning to overlap in areas as they race to add generative AI features. See: MongoDB launches Atlas Vector Search, Atlas Stream Processing to enable AI, LLM workloads | Constellation ShortList™ Hybrid-Cloud and MultiCloud NoSQL Databases

Here's a look and MongoDB's moves.

  • MongoDB launched four new features designed to make developers more productive with AI. The company launched MongoDB Relational Migrator, which converts SQL to MongoDB Query API syntax to automate migrations from relational databases, MongoDB Compass to generate queries and aggregations from natural language, MongoDB Atlas Charts for data visualizations from natural language, and a new chatbot in MongoDB Documentation to answer technical questions. All of the aforementioned features are available in preview except for the MongoDB Documentation chatbot, which is available now.
  • For MongoDB Atlas Vector Search, the company added tools to query contextual data and performance improvements to bolster generative AI apps. The company also said it integrated MongoDB Atlas Vector Search with Confluent Cloud to give developers data streams from multiple sources. And MongoDB announced that Dataworkz, Drivly, ExTrac, Inovaare Corporation, NWO.ai, One AI, and VISO Trust are customers of MongoDB Atlas Vector Search, which was announced in June.
  • MongoDB launched MongoDB Atlas for Edge to give enterprises the ability to build data applications across devices, on-premises data centers and cloud. AWS and Cloneable were cited as partners and customers of the effort. MongoDB said the goal was to enable edge infrastructure so it has low latency to run AI applications and make Internet of things devices actionable even in rough conditions.

Constellation Research analyst Doug Henschen put the MongoDB announcements in perspective. He said:

"MongoDB is staying aggressive and focused on developer needs, which is what has helped to set its platform apart from single-cloud offerings and to win developer adoption and loyalty. All three announcements are important. What impresses me about the Vector Search announcement is that they’re not just pointing to a new generative AI-focused feature and patting themselves on the back. MongoDB is sharing the real-world customer examples of Dataworkz, Drivly, ExTrac, Inovaare Corporation, NWO.ai, One AI, and VISO Trust along with plenty of details on how they’re innovating with generative AI. That makes the announcement come across as much more real and it will help to inspire other customers to start experimenting. On the MongoDB Atlas for the Edge announcement, the company has long had mobile database and sync capabilities, but the announcement makes it clear that they’re driving more consistency and continuity to simplify edge-to-cloud use cases with two-way interactivity. Finally, the generative AI capabilities – NL query and aggregation, NL data visualization, chat-based product support, and SQL translation to the MongoDB Query API syntax – aren’t terribly surprising, and all but the chat feature are still in preview, but it’s a good set of capabilities that shows that MongoDB isn’t being conservative about infusing its products and services with generative AI capabilities."

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AWS invests up to $4 billion in Anthropic: It's all about AWS Trainium and Inferentia

Amazon Web Services' (AWS) $4 billion investment in Anthropic may be all about the chips--AWS Trainium and Inferentia--for training models.

The deal between Anthropic and AWS puts Anthropic's foundational models, known as Claude and Claude 2, on Amazon Bedrock and makes AWS the primary cloud provider for mission critical workloads. For the record, Anthropic's Claude didn't have an opinion on AWS Trainium and Inferentia. "I don't have a personal opinion on AWS Trainium processors since I'm an AI assistant without subjective experiences," said Claude. 

But here's the item that may have the most long-term impact: "The two companies will also collaborate in the development of future Trainium and Inferentia technology."

That quote took me back to August and Amazon CEO Andy Jassy's take on AWS' home-grown processors. He said Nvidia supply has been scarce and price performance will matter with running large language models. "We're optimistic that a lot of large language model training and inference will be run on AWS' Trainium and Inferentia chips in the future," said Jassy.

Should Anthropic be able to train its foundational models on AWS' proprietary chips it'll have huge ramifications. Consider:

Anthropic also rounds out the AWS generative AI strategy. AWS will offer compute instances from Nvidia as well as AWS Trainium and Inferentia and up the stack offer a broad selection of foundational models via Amazon Bedrock. At the top of the stack, AWS customers can customize models with proprietary data and fine tuning.

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