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At Chevron, a CTO becomes CFO

At Chevron, a CTO becomes CFO

Chevron revamped its management team as it waived the mandatory retirement age for CEO Mike Wirth and said CFO Pierre Breber will retire and be replaced by CTO Eimear Bonner.

That move from CTO to CFO is a rarity. CTOs and CIOs often report to CFOs if not the CEO. Bonner as CTO was president of the Chevron Technical Center, which aims to use a host of technologies to boost efficiency at the oil giant.

While Bonner's move from CTO to CIO is rare, she has held a bevy of positions over her 24-year career at Chevron. Another reason a CTO can become a CFO: Chevron's ability to drive returns and efficiency is enabled by technologies including analytics, robotics, machine learning and high performance computing.

At Chevron's February Investor Day, Bonner outlined key technology projects. Here's a look at the interplay between Chevron's technology projects, strategy and efficiency drive:

Carbon capture. Bonner walked through carbon capture efforts and challenges with the water management system. Chevron improved its surface equipment and is continually tweaking. Bonner said Chevron has the fiber optics, modeling and data surveillance to improve.

"We’re piloting technologies in the San Joaquin Valley to learn how to capture carbon efficiently. To better understand CO2 storage and reservoir dynamics, we’re leveraging fiberoptics, novel seismic, and high-performance computing," said Bonner. "We look to subsequent assets where we would inject CO2, so all of that subsurface technology expertise, all of the surveillance expertise, all of the seismic expertise, all of that will be able to leverage for growing new energy business."

Methane management is another area of focus. "We’re leveraging machine learning to predict and prevent emissions and we’ve tested advanced technologies, including satellites, to detect and make timely repairs," she said.

Efficiency. Chevron has a bevy of efficiency projects leveraging everything from process mining to technologies that lower costs. Breber noted:

"The objective is to grow the company with the least amount of capital. We are not a growth investment."

Bonner added that Chevron's goal is to lower carbon intensity of its existing assets. "Our goal is to abate the maximum amount of carbon for every dollar that we spend. We have a large portfolio of projects, over 100 projects. We’ve got great momentum building around execution," said Bonner.

Robotics. Bonner said Chevron is piloting the use of robots to inspect tanks at its Salt Lake City refinery.

Seismic imaging. Bonner said Chevron is optimizing field development to get higher quality seismic images faster. This project is aimed at driving higher returns in the Gulf of Mexico and other "challenging geological environments."

Analytics. Chevron is testing tools that integrate operational, reservoir and economic data to enable faster development decisions and cycle time.

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Can ODDITY disrupt health, wellness with data, AI models?

Can ODDITY disrupt health, wellness with data, AI models?

This post first appeared in the Constellation Insight newsletter, which features bespoke content weekly.

ODDITY Tech, a tech-meets-cosmetics company, generated a bevy of headlines due to a successful initial public offering, but the success of its AI models is what's really worth watching.

The company has leveraged its data platform and models to grow two brands, IL MAKIAGE and SpoiledChild, with more on deck via ODDITY Labs.

"We deploy algorithms and machine learning models leveraging user data seeking to deliver a precise product match and seamless shopping experience," explained the company in its prospectus. "We harness our user data to develop physical beauty and wellness products that deliver excellent performance and functionality. We never settle on quality. If our data doesn’t show it is the best we can deliver, we won’t launch it."

ODDITY is marrying two different worlds of tech and physical products via data and models. ODDITY has a platform of 40 million users, 1 billion unique data points on beauty preferences and 4 million active customers.

Here's why ODDITY could be more than just a hot stock: It may be an example of a company that's built on top of AI, data and machine learning where the technology enables a physical product. Today, ODDITY is aimed at the health, wellness and cosmetics category. But if data, technology and the ODDITY Platform are the real differentiators then ODDITY could go into any market.

Research: CX, Data to Decisions, Matrix Commerce

I'm thinking about ODDITY largely due to generative AI. Generative AI will be implemented by enterprises and the technology will create new types of companies just like cloud computing and mobile did. A company like Uber wouldn't exist without cloud and mobile. Technology has enabled new businesses throughout history.

Enter ODDITY, which lives up to its name from a business model perspective. The company is part technology, part e-commerce and part media and relies on AI models to drive its business.

A tour through ODDITY's regulatory filings reveals a company that's as much about data science, machine learning and AI as it is health and wellness products. In addition to ODDITY's datasets, the company has proprietary algorithms and models, computer vision tools and Kenzza, a collection of on-demand bespoke beauty media content.

This data flywheel is designed to improve model training, drive product sales and fuel returns.

ODDITY makes it clear that its data flywheel is critical to the business. One of ODDITY's biggest risk factors is AI model accuracy. ODDITY said in its filing that if it can't continue to improve it AI models its business will suffer. ODDITY said:

"AI presents risks and challenges that could affect our products’ further development, adoption, use, and therefore, our business. AI algorithms may be flawed, and data sets may be insufficient, of poor quality, or contain biased information. Inappropriate or controversial data practices by data scientists, engineers, and end-users of our systems could impair the acceptance of AI solutions."

ODDITY, based in Israel, also said that if its models can't accurately analyze facial or hair features or computer vision fails it will face higher returns and costs. The company added that errors, bias and restrictions on third-party data used to train and improve models can also hurt sales.

Luckily, 40% of ODDITY's workforce are technology employees. So far, ODDITY's data-driven business model is working well. For 2022, ODDITY delivered net revenue of $324.5 million. For the six months ended June 30, ODDITY is projecting revenue between $300 million and $310 million with net income between $40.5 million and $44.5 million.

Here's ODDITY's approach relative to other direct-to-consumer companies.

 
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SAP's AI ambitions depend on migrating customers to cloud, S/4HANA

SAP's AI ambitions depend on migrating customers to cloud, S/4HANA

SAP CEO Christian Klein made the case for Business AI as a transformation engine. But first, SAP needs more enterprises to move to S/4HANA.

The company posted earnings of €0.62 on revenue of €7.55 billion. SAP also narrowed its outlook with €14 billion to €14.2 billion for 2023, down from €14 billion to €14.4 billion. SAP's cloud revenue was up 19% in the second quarter.

Speaking on SAP's second quarter earnings conference call, Klein cited Barcardi, Bayer AG, Versuni and Tech Mahindra as customers that recently went live via RISE with SAP. Versuni went live in 18 months and Tech Mahindra accomplished the transition in 3.5 months.

Klein said:

"The success of RISE with SAP is clear. This is SAP's signature offering, which helps customers move to the cloud and transform their business processes at the same time. It's also very important to emphasize that SAP's newest innovations and capabilities will only be delivered in SAP public cloud and SAP private cloud using RISE with SAP as the enabler. This is how we will deliver these innovations with speed, agility, quality and efficiency. Our new innovations will not be available for on-premise or hosted on-premise ERP customers on hyperscalers."

SAP's plan is to migrate its customers to the cloud and S4/HANA so it can roll out new AI capabilities as well as generative AI. To migrate mid-market customers, SAP launched GROW with SAP.

Constellation Research analyst Holger Mueller said SAP still has convincing to do.

"SAP keeps struggling to convince its customer base to upgrade to S/4HANA as management thought it would--no matter whatever initiatives SAP throws at customers, which is not a surprise. The surprise is that SAP management was surprised by it as well."

The bet is that SAP's Business AI can double its total addressable market and boost sales.

SAP aims to infuse generative AI throughout its applications: Here's everything from SAP Sapphire 2023

Klein laid out the SAP ambition.

"Imagine one trusted data layer across your entire company that enables AI to pull together the wide data in seconds. This will bring us significant opportunities for market expansion through new AI-based solutions and new premium offerings."

"Based on unique business data and business process context, we can deliver the most reliable business AI. Reliable AI hinges on applying the wide data to the wide model. By using SAP DataSphere to leverage substantial contact switch industry-specific data, business AI system can drastically improve accuracy, generate more relevant content and minimize AI hallucinations."

According to Klein, SAP will announce more AI capabilities in the fall to follow up on its investments in Aleph Alpha, Anthropic, and Cohere.

Generative AI will also expand SAP's reach, said Klein.

"With generative AI, and I think we really sit on a data of over 400,000 customers and the material flows, the financial flows, employee customer data. And now we are taking this data, not only with Signavio to benchmark and give business process recommendations. I mean we see it in the first prototypes that we are going to be able to not only that the system can self-learn on this data on how to improve all these workflows."

But first SAP needs customers to move to the cloud faster.

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Disruptive technology project? Submit it to SuperNova Awards

Disruptive technology project? Submit it to SuperNova Awards

Constellation Research's deadline for SuperNova Awards submissions is approaching. You can apply here.

As a refresher, the SuperNova Awards are designed to highlight organizations, teams and individuals that have implemented disruptive and transformative projects.

For a hint of what we're looking for check out the 2022 Supernova Awards winners. My favorite: Dussmann, which created its own low-code HCM application that automated employee self-services. The project was paid for after 36 months just based on postage savings.

Other winning projects from 2022 were Stanford Medicine, which automated supply chain and procurement processes, and GE Aviation, which modernized and consolidated more than 300 IT applications and ERP platforms.

Finalists will be invited to attend Constellation's Connected Enterprise (CCE) in Half Moon Bay, Calif. with registration covered by Constellation Research.

Here's what we're looking for:

  • Case studies of projects that made a difference.
  • Real ROI metrics.
  • Impact on business and competitive advantage.

The categories include:

  • AI and augmented humanity.
  • Data to decisions, which recognizes innovative data and analytics projects.
  • Digital safety, governance and privacy.
  • ESG and sustainability.
  • Future of work and employee experience.
  • Future of work and human capital management.
  • Next-generation customer experience.
  • Tech optimization and modernization.
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Infosys, Wipro, TCS customers pull back, prioritize projects

Infosys, Wipro, TCS customers pull back, prioritize projects

Indian services giants are optimistic about new technologies such as generative AI but are seeing clients pull back on discretionary projects as they aim for fast returns.

Here's a look. 

Infosys cuts outlook for fiscal year

Infosys cut its fiscal 2024 outlook and now expects growth of 1% to 3.5% compared to the 4% to 7% outlined in April.

For the first quarter, Infosys reported revenue of $4.62 billion with net profit of $724 million.

Salil Parekh, CEO of Infosys, said some clients have slowed their transformation plans and discretionary work. Financials services, telecom and parts of retail were holding back on plans.

Infosys signed large deals in the first quarter valued at $2.3 billion and 56% of those deals were new. Half of the large deals were from financial services companies.

Parekh said:

"We are delighted that Topaz, our AI and generative AI platform is resonating well with our clients. We are working on 80 generative AI projects for our clients at this time. The work we are doing encompasses large language models for software development, text, document, voice and video. Internally, we have developed generative AI tools using an open-source model for software development. We are working with open source and proprietary generative AI platforms and models.

We see this area of generative AI and Topaz being really transformative for our clients. As we look ahead with our large and mega deal successes and our strengthen in cost efficiency, automation and consolidation we feel confident."

Infosys also said its deal pipeline was strongest in engineering, IoT, supply chain, cloud, ERP and digital.

Wipro: Clients reduce discretionary spend

Wipro reported fiscal first quarter revenue of $2.8 billion, up 6% from a year ago, with net income of $349.8 million.

The company projected second quarter revenue to a decline of 2% to a gain of 1% sequentially.

CEO Thierry Delaporte said clients did gradually cut discretionary spending. He said:

"All around us in almost every industry, we see businesses that have been reducing discretionary spend in response to the weaker macro environment. That's had an impact on our revenues as well."

Wipro in the quarter managed to keep operating margins steady at 16%, 112 basis points better than a year ago. Wipro has improved productivity and managed fixed costs.

Delaporte said:

"We are using generative AI for multiple use cases like enterprise knowledge mining, virtual assistance, content creation, automation software, development life cycle and for synthetic data generation."

Wipro also launched Wipro ai360 to accelerate its AI offerings.

TCS: Clients prioritizing faster ROI

Tata Consultancy Services (TCS) in the first quarter delivered revenue of $7.23 billion, up 6.6% from a year ago, with net income of $1.35 billion.

TCS saw strength in life sciences in healthcare, which was up 10.1% from a year ago, manufacturing, up 9.4%, retail and CPG, up 5.3%, and technology and services, up 4.4%.

According to TCS, customers are prioritizing business critical projects and those with faster returns. Cost optimization, vendor consolidation and integrated operations were key priorities for TCS customers.

Generative AI, digital transformation and co-innovation projects were demand drivers for the future.

At TCS' Innovation Forum in New York in June, executives also homed in on the process of innovation and its design thinking frameworks. TCS walked through its Pace system, which brings together TCS foundational research, clients, innovation frameworks and partnerships with academia, VCs and startups. What stood out to me was the idea that innovation has to be actionable and ultimately scale.

TCS CTO Ananth Krishnan said the company is using the Pace framework and its Pace Port locations to create a "go-to place for breakthrough ideas and do something about it."

In today's economy, the emphasis is on doing something with innovation. Krishnan added that TCS has collaborated with clients on quantum computing, generative AI and sustainability use cases to transform businesses. While CXOs are more interested than ever in new technologies and innovation, they're more excited about making those advances actionable. After all, these companies have to execute.

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TSMC's Q2: 6 takeaways to know

TSMC's Q2: 6 takeaways to know

TSMC's second quarter revenue fell 10% as the company navigated customer inventory corrections, but the semiconductor maker was optimistic about AI-related demand.

Here's a look at the key takeaways from TSMC's earnings report.

  • TSMC has seen an increase in AI-related demand for semiconductors, but it wasn't enough to offset weakness elsewhere. TSMC CEO Dr. CC Wei said the third quarter will see strength in its 3-nanometer technologies offset by inventory adjustments.
  • Economic concerns in China and customers rebalancing inventory will be a headwind into the fourth quarter. TSMC's forecast for 2023 revenue calls for a decline of 10%.
  • High performance computing and 5G is driving semiconductor demand in the long run. "Our revenue remains well on track to grow between 15% and 20% CAGR over the next several years in U.S. dollar terms," said Wei.
  • 6% of total revenue for TSMC is related to AI processor demand. "We forecast this to grow at close to 50% CAGR in the next 5 years and increase to low teens percent of our revenue," said Wei.
  • HPC is going to drive TSMC's long-term growth. "While the quantification of the total addressable opportunity is still ongoing, generative AI and large language model only reinforce the already strong conviction we have in the structural mega trend to drive TSMC's long-term growth, and we will closely monitor the development for further potential upside," said Wei.
  • TSMC's Arizona fab will be delayed. The fab started construction in Arizona in April 2021 with an aggressive schedule. TSMC said it is now installing its most advanced equipment but doesn't have the skilled workers and local expertise to install equipment.

TSMC Chairman Mark Liu said:

"While we are working on improving the situation, including sending experienced technicians from Taiwan to train the local skill workers for a short period of time. We expect the production schedule of N4 process technology to be pushed out to 2025."

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IBM Q2 sees software, AI gains and infrastructure weakness

IBM Q2 sees software, AI gains and infrastructure weakness

IBM's second quarter was a mixed bag with software, Red Hat, data and AI and consulting growth but headwinds as hardware sales stumbled as IBM z Systems revenue fell 30%.

The company reported second quarter net income of $1.6 billion, or $1.72 a share, on revenue of $15.5 billion. Non-GAAP earnings for the second quarter were $2.18 a share.

Wall Street was looking for second quarter earnings of $2.01 a share on revenue of $15.58 billion.

IBM CEO Arvind Krishna said the company was confident with its annual outlook and that it saw strength in hybrid cloud and AI technologies.

For 2023, IBM is projecting revenue growth of 3% to 5% with free cash flow of about $10.5 billion. 

By the numbers:

  • Software revenue in the second quarter was $6.6 billion, up 7.2% from a year ago. Red Hat revenue was up 11%, data and AI sales were up 10% with security and automation falling slightly.
  • Consulting revenue was $5 billion, up 4.3%.
  • Infrastructure revenue was $3.6 billion, down 14.6%. Hybrid infrastructure fell 18% from a year ago and IBM z Systems sales fell 30%.

On a conference call with analysts, Krishna said:

  • "AI will infuse in models every single product we have, whether it's sustainability, whether it's our database products, whether it's our consulting projects, whether it's inside the mainframe of the Telum.
  • "Businesses around the world are excited about tapping foundation models and machine learning in one place, with their own data to accelerate generative AI workloads. For example, Samsung is exploring generative AI to deliver unprecedented innovation for clients. Citi is pursuing the potential use of large language models for connecting controls to internal processes. NatWest is embedding watsonx into its chatbot to improve customer experience and SAP is integrating IBM Watson AI into their solutions."
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Bank of America: Why 'digital superiority' matters

Bank of America: Why 'digital superiority' matters

Bank of America's second quarter was strong, the banking giant captured deposits and the company saw good operating leverage. Bank of America CEO Brian Moynihan said digital superiority is a big reason.

Speaking on the company's second quarter earnings conference call, Moynihan said:

"Digital superiority is key to our operating dynamics. First, it produces a great customer experience resulting in strong customer retention and strong customer scores. Second, it ensures our position as a lead transactional bank for our customers, whether they are consumers, companies, or investors. Third, it preserves a strong deposit balance. And last, but importantly not least, efficiency."

Research: Connecting Experiences From Employees to Customers

Moynihan outlined the following metrics:

  • 46 million active consumer users digitally engaged and logged on 1 billion times a month.
  • Interactions with Erica, the bank's natural language processing and AI bot, has now had more than 1.5 billion client interactions in its first five years. Erica interactions rose 35% in the past year.
  • Zelle usage has grown 19% over the past year.
  • Erica and Zelle have generated 20,000 digital leads for 7,000 advisors.

Bank of America also saw digital engagement gains in global wealth and investment management and global banking.

Alastair Borthwick, CFO at Bank of America, said digital superiority also means operating leverage and efficiency gains.

Borthwick said:

"You should expect us to continue to engineer by applying massive amounts of technology. Erica saves a lot of transactional activity, Zelle saves a lot of transactional activity deposits by mobile phone saves a lot of activity."

Those digital efforts save money and drive revenue.

Moynihan said digital prowess has enabled Bank of America to keep headcount flat to down and invest those savings back into developers.

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Microsoft officially enters process mining, automation ring with Power Automate Process Mining

Microsoft officially enters process mining, automation ring with Power Automate Process Mining

Microsoft is officially entering the process mining and process automation ring with Power Automate Process Mining availability August 1.

Power Automate Process Mining general availability was announced at Microsoft's Inspire conference in Las Vegas. Microsoft beefed up its process mining and task mining capabilities with the acquisition of Minit in March 2022.

Microsoft Inspire: Microsoft 365 Copilot pricing, process mining, Meta and Epic partnerships

With process mining integration with Power Automate, Microsoft is looking to leverage its installed base of its Power platform to automate processes. Power Automate Process Mining has been in public preview since November 2022.

As previously detailed, the process automation platform scrum is going to be intense. In addition to process mining giant Celonis, UIPath, SAP and others are positioning to be automation platforms from different directions. The goal of these vendors is clear: Find process improvements with data from systems of record such as SAP, fix them and then automate them so businesses can continually improve.

Microsoft's Power Automate Process Mining includes the following:

  • Templates to leverage corporate data, systems of record and flows from Azure, Power Automate, Power Apps and Power Virtual Agents and Azure to visualize processes as they actually happen.
  • Tools for root cause analysis, drilldowns and recommended KPIs to identify inefficiencies and automation possibilities.
  • Process templates for horizontal processes such as order-to-cash, peer-to-peer pay and supply chain.
  • Low code automation tools to optimize processes across the Power Platform.
  • Notifications in Microsoft Teams and Outlook when KPIs are at risk or not met.
  • Ongoing monitoring of processes with the ability to create new goals and continually improve.

With the rollout of Power Automate Process Mining, Microsoft revamped its licensing for the Power Platform.

Along with the Aug. 1 general availability, Microsoft is adding a Power Automate Premium option for $15 per user per month. The license will provide unlimited cloud flows, digital process automation, robotic process automation and Power Automate Process Mining. Power Automate Premium replaces Power Automate Attended RPA per user.

In addition, Microsoft is adding a Power Automate Process license with access to an automation bot that can be used for unattended RPA or cloud-flow process that can be accessed by unlimited users at a company.

Power Automation Process Mining can also be available as an add-on for additional capacity at $5,000 per tenant per month with 100 GB Process Mining data storage.

For enterprises, the big question is whether process mining and automation is a separate category or something that is seen as an integration within a broader platform. Like analytics, there's a point where embedded features become good enough as part of a broader platform purchase.

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Microsoft Inspire: Microsoft 365 Copilot pricing, process mining, Meta and Epic partnerships

Microsoft Inspire: Microsoft 365 Copilot pricing, process mining, Meta and Epic partnerships

Microsoft 365 Copilot will run you $30 per user per month for Microsoft 365 E3, E5, Business Standard and Business Premium customers.

The news, announced at Microsoft Inspire in Las Vegas, fleshes out the price tag for generative AI capabilities embedded into Microsoft's portfolio. Microsoft said Microsoft 365 Copilot will be embedded throughout Microsoft’s portfolio including Word, Excel and PowerPoint and inherits existing Microsoft 365 security, privacy, identity and compliance policies. Data will be isolated.

Microsoft has 600 enterprise customers in the Microsoft 365 Copilot paid Early Access Program. Enterprises have been cutting licensing costs and it'll be interesting to see whether CXOs give Microsoft 365 Copilot to every employee with access to Office or pick and choose roles. It also remains to be seen how enterprises pick and choose vendors for generative AI. 

Constellation Research analyst Holger Mueller said:

"Microsoft keeps rolling out generative AI capabilities across it is products and now it's the turn of the enterprise offerings, as part of the Office franchise. To have an AI powered assistant can be very helpful to the knowledge worker and positively changes the future of work. And we finally have a price tag for or the service at $30 per month. That is not much for an assistant that delivers productivity gains, when it delivers 2-3 hours of time savings a month. The interesting aspect: This is going to be more than the office license after 3-5 months. This plan shows both the commoditization of Office, how expensive generative AI is and how important it is for revenue growth at Microsoft."

Inspire is Microsoft's partner conference. Here's a rundown of what was announced.

  • Microsoft rolled out Bing Chat Enterprise, which aims to keep enterprise data segmented while providing generative AI insights via Web data with citations to workers. Bing Chat Enterprise is in preview and included at no cost for Microsoft 365 E3, E5, Business Standard and Business Premium. in the future, Bing Chat Enterprise will be $5 per user per month.
  • The software giant added Visual Search in Chat to Bing Chat using OpenAI's GPT-4 model. Users can upload images and search the web for related content.
  • Microsoft Sales Copilot gets new features within Dynamics 365 Sales. Features include opportunity summaries, email drafts and meeting prep.
  • Power Automate Process Mining is now generally available with low-code tools, process mining, automation suggestions and task mining within the platform.
  • Meta and Microsoft forged a partnership that will support the Llama family of large language models on Azure and Windows. Microsoft will be Meta's preferred partner when Llama 2 is released to commercial customers.
  • Azure OpenAI Service adoption has been expanded to 4,500 customers with more availability in North America and Western Europe. The service is also available in Asia now.
  • Microsoft and healthcare software giant Epic have expanded their partnership. Epic has integrated Azure OpenAI Service into its electronic health record platform. Microsoft will also embed its clinical documentation tools via Nuance into Epic. Epic customers are also using Azure Large Instances. The Microsoft and Epic partnership is notable given Oracle's healthcare expansion plans via the Cerner acquisition.
  • And finally, Microsoft launched its Microsoft AI Cloud Partner Program, which includes incentives and co-selling opportunities as well as training content.

The list of companies leveraging generative AI is expanding:

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