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IBM, AWS expand partnership, watsonx headed to AWS Marketplace

IBM, AWS expand partnership, watsonx headed to AWS Marketplace

IBM will make its watsonx.data available on Amazon Web Services as a managed SaaS service available in AWS Marketplace. In addition, IBM Consulting will expand its AWS partnership to train 10,000 consultants on AWS generative AI services, use cases and best practices.

To start, IBM Consulting said its exclusive AWS partnership will focus on the following:

  • Contact Center Modernization with Amazon Connect, which will include summarization and categorization for voice and digital interactions with generative AI.
  • Platform Services on AWS, which will use generative AI to manage IP Ops, automation and platform engineering.
  • Supply Chain Ensemble on AWS, a virtual assistant designed to optimize inventory, cut costs, streamline logistics and assess risk.

The broadened partnership with AWS is a nice win for IBM, which is looking to make its watsonx platform more widely available. IBM said it will make watson.ai and watsonx.governance available on AWS by 2024. For AWS, the deal with IBM Consulting will add throughput in the enterprise.

Constellation Research analyst Holger Mueller said:

“Enterprises need to use AI to their advantage – but need help to implement it – so AI cloud vendors and system integrators expand their alliances to serve enterprises better. The IBM and AWS partnership is of interest due to the focus areas and possible prebuilt offerings. As a CxO looking for these use cases these partnerships are good news. It remains to be seen how long the exclusivity will hold but this is a coup for IBM.

More important than the service announcement is that IBM Is making watsonx available as first citizen on AWS Marketplace. It makes sense to start with watsonx.data – as data is the foundation of AI and joint customers will have to start there. It's good to see watsonx.ai and watsonx.governance following suite in 2024."

Other key parts of the IBM and AWS partnership include:

  • IBM Consulting will integrate AWS generative AI services into its IBM Consulting Cloud Accelerator.
  • IBM is one of the first AWS partners to use Amazon Bedrock.
  • With the addition of watsonx.data to the AWS Marketplace, IBM is expanding its footprint on AWS. The two companies have committed to making it easier for joint customers to use IBM's data, AI and security software on AWS.

More:

 

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Nvidia, Foxconn aim to build AI factories, collaborate on EVs, robotics

Nvidia, Foxconn aim to build AI factories, collaborate on EVs, robotics

Nvidia and Hon Hai Technology Group (Foxconn) outlined a broad partnership to create so-called "AI factories" that will be based on Nvidia GPUs to transform data into AI models and tokens. The two companies will also develop systems for autonomous vehicles and robots.

If you boil down the Nvidia and Foxconn announcements, AI factories and other efforts will highlight what's possible on the Nvidia platforms. In other words, Nvidia's efforts with Foxconn rhyme with what Microsoft and Google have done with Surface and Pixel, respectively. Nvidia with Foxconn will have a showcase for its accelerated computing platforms, GH200 Grace Hopper Superchip and AI Enterprise software. The Foxconn partnership will enable Nvidia to show the art of the possible with standardization on its stack.

The announcement was made by Nvidia CEO Jensen Huang at Hon Hai Tech Day. The companies outlined electric vehicle plans on Nvidia's platform separately. Related:

Foxconn will also help Nvidia seed the market for its Drive Hyperion 9 autonomous vehicle platform and Drive Thor automotive system on a chip, Isaac autonomous mobile robot system and Metropolis video analytics platform for smart cities. Foxconn plans to design custom systems for all of Nvidia's products.

According to the companies, Foxconn's AI factory based on Nvidia's platform will enable it to train models for workflows and run simulations before building physical systems. In theory, these simulations would boost Foxconn's efficiency and operating margins.

Constellation Research analyst Holger Mueller said the Foxconn and Nvidia partnership could boost scale for AI workloads in manufacturing and OEM settings. He said:

"A few years back the future of Nvidia was not clear as the cloud vendors were using proprietary approaches to run AI. That is all history with Nvidia GPUs being added in all public cloud data centers across the world. Nvidia is now ready to partner with manufacturing and OEM providers – all to put out more of its platforms. The partnership with Foxconn is to be seen in this light – Foxconn standardizes Nvidia platforms and OEMs them to its customers. If Nvidia succeeds with this move it will increase footprint, relevance and likely growth by magnitudes."

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NetSuite launches new licensing model, generative AI features

NetSuite launches new licensing model, generative AI features

NetSuite is launching a new licensing model that will enable enterprises to use task-specific licenses for employees that don't need full access to the platform. NetSuite said it will initially roll out the new licensing plan for NetSuite Warehouse Management.

Details about the licensing model weren't immediately available, but NetSuite said a warehouse employee who only needed NetSuite access for receiving, put away, picking and shipping would have a license only for that functionality without a full subscription. NetSuite typically charges an annual license fee for core platform, optional modules and number of users. There's also a one-time implementation fee.

NetSuite, a division of Oracle, announced the new licensing model at its NetSuite SuiteWorld 2023 conference. The tweak is notable since that warehouse worker would typically be licensed as a full user. As a result, enterprises are more likely to forgo that license for a front-line worker. The bet is NetSuite can democratize use of its platform and its more than 37,000 customers can get a productivity bump.

Along with the new licensing model, NetSuite rolled out a bevy of features and generative AI capabilities across its suite. Here's a look at the additions.

  • Generative AI tools powered by Oracle's Cloud Infrastructure were launched across NetSuite. 
  • NetSuite Text Enhance to personalize content for any text in NetSuite for finance, human resources, supply chain, sales and customer support to name a few.
  • NetSuite Planning and Budgeting gets predictive algorithms that monitor and analyze plans, forecasts and variances.
  • NetSuite bill Capture, which will capture and categorize expenses and curb manual bill entry.
  • NetSuite Analytics Warehouse will use AI to consolidate and centralize data from multiple sources and visualize it in dashboards. NetSuite Analytics Warehouse is built on Oracle Analytics Cloud and Oracle Autonomous Data Warehouse.

In addition, NetSuite built out its financial and accounting features and launched NetSuite EPM, which will be available within the next year. NetSuite Planning and Budgeting and NetSuite Account Reconciliation will be sold separately and as part of EPM. Here's the rundown:

  • NetSuite EPM launched with automated account reconciliation to streamline closing processes and reporting.
  • NetSuite Capital launched as a embedded service focused on improving cash flow, reviews, pricing, invoicing and accounts receivable.
  • NetSuite Pay rolled out across the platform to onboard merchants and integrate payment processors with pre-negotiated rates and fees.
  • The company launched a new e-invoicing tool to optimize payment and cash collection reduce costs and streamline invoicing compliance.
  • NetSuite added Transaction Line Distribution, a tool that can split transactions across departments and subsidiaries.
  • The company outlined NetSuite Benchmark 360, a tool to benchmark enterprises in their industry and region.

NetSuite also targeted field service operations with the launch of Field Service Management, which offers scheduling and dispatch communications, inventory and asset management. The company also added tools to support subscription-based business models.

On the customer front, NetSuite announced Cohere as a customer along with others and said it will expand in Spain and Brazil. 

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Customer experience vs. efficiency and cost cutting: Which one wins?

Customer experience vs. efficiency and cost cutting: Which one wins?

Customer experience has taken a back seat to cost cutting, declines in service and inflation and it's unclear whether new technologies such as generative AI can bail enterprises out.

That's my take on the Accenture Life Trends 2024 report, which is a handy read on macro and cultural trends. While Accenture's report focuses on consumers, the points about customer experience can easily apply to enterprise technology. Enterprises have been passing costs on to customers, but we're reaching the point where that's no longer going to fly.

Here are a few points from the Accenture report as well as my take and related reports Constellation Research.

Profit priorities trump customer experience. Accenture found that 37% of people worldwide think many companies are prioritizing profit over customer experience. And 40% of CxOs say they plan to raise prices to pass costs to customers. Accenture's report also found that customers feel less valued by poor customer service.

My take: CX is critical but it's clear there's going to be a widening gap in companies that keep it a priority. The idea that profits follow customer experience was fine when growth was easier to come by. Now efficiency is the mantra amid higher interest rates and margin squeezes for companies. Companies taught consumers that they should value something more than a mere transaction. Most surprising thing to me: Consumers apparently bought into the idea that brands were about more than the transaction. Follow the money people.

Here's the conundrum: Enterprises across all industries will have to become way better at customer service and do it cheaply. Related research: Connecting Experiences From Employees to Customers

Generative AI to the rescue--maybe. Accenture, which by the way will make a lot of revenue from consulting on generative AI projects, said conversational interfaces will change the game for digital interactions. Generative AI could be known as the great customer engagement enhancement. Accenture found that 39% of people aged 18-34 are excited about conversational answers over standard Internet searches.

My take: Accenture expects large language models (LLMs) to change the relationship between people and brands and I'd agree. What's unclear to me is whether the enterprises behind the big brands have the data to offer something unique with an LLM. Even more unclear is whether enterprises will be able to navigate internal silos to make sales, marketing and service cohesive. And even more unclear is whether vendors can provide a generative AI magic bullet with fun names, domain specific LLMs and add-ons that add up.

Related research: The Urgent Case for a Chief AI Officer | Constellation ShortList™ Customer Experience (CX) Operations Services: Global

Humans are getting wise to technology's pitfalls. Accenture noted that nearly a third of consumers say technology has complicated their lives as much as simplified it. The upshot is customers are tightening the reins on tech use by removing notifications, limiting screen time and removing apps.

My take: It's about time someone followed me and put their phone on silent. Brands will have a tough time adapting if consumers decide to prune digital channels. However, you can color me skeptical about humans downgrading their tech relationships. What people say they do with technology is vastly different than what they actually do. The notifications are still in charge.

Constellation Research's take

Constellation Research analyst Liz Miller said:

"While the report recasts the customer experience dilemma in the new extreme brightness that is generativeAI, it fails to issue a stark warning: None of these tools will solve for inauthentic, poorly crafted and value-less engagements. The reality of customer experience, even before the boom of GenAI, is wrapped in that adage: Garbage in, Garbage out. All AI will do to this process is accelerate the capacity to deliver, ignore and dispose of the garbage.

What far too many brands get horribly wrong is they believe Customer Experience is a technology, a function or a mantra that can be distilled into a pithy wall cheer like “Be Customer Obsessed!” If that is what CX is to a brand, no AI, no data, no technology stack can save CX…and in total blunt talk, that type of wasted budget should be cut.

CX is an enterprise-wide team sport that so deeply understands the customer and the decision glidepaths that bring that customer into a posture of durable profitability that the only decisions that can be made are those that work in the service of either accelerating or deepening that lasting bond between brand and buyer. CX isn’t customer service. CX isn’t marketing. CX isn’t packaging. CX is all of this and more. CX is the durable, profitable, authentic, and contextual relationship between a brand and its customers, partners and the market.

Without a true customer experience strategy that is embraced by the entire organization, orchestrated and connected by data and customer intelligence, no amount of GenAI can save that bottom line. Cost cutting will be the only path to survival. But, if an organization has thought of CX as more than a rallying cry of convenience, more thought and attention can be paid to HOW generativeAI can address including those conversations around why that ice cream bar is just a bit smaller now or costs a little bit more."

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PepsiCo has its technology, process game down

PepsiCo has its technology, process game down

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

PepsiCo's second quarter earnings were better than expected, but the real story is that its transformation efforts for processes, supply chain, technology and business services have gone so well it has good visibility into 2024.

The company's quarterly report featured top and bottom line results ahead of estimates, a solid third quarter outlook and this tidbit about 2024. For the year ahead, PepsiCo in prepared remarks noted that the company will be at the upper end of its long-term ranges for organic revenue growth of 4% to 6% and earnings per share growth in the high single digits.

Companies usually don't provide their annual outlooks until they report first quarter results in January and February.

Analysts quickly asked PepsiCo CEO Ramon Laguarta and CFO Hugh Johnston what gave the company confidence in a 2024 outlook given a variety of wild cards ranging from the financial health of the consumer to inflation to the effect of obesity drugs on snacking and beverage sales. The short answer is that PepsiCo has been using technology and process improvement to drive costs lower.

Johnston said:

"We've put even higher focus than we've had in the past on driving productivity and driving out unnecessary costs using the tools that we've discussed, the investments in digitalization, the investments in global business services, the investment in driving out overlaps within the organization. Because that work has been going on for a longer period of time, I think that gave us an earlier line of sight into what we would expect our cost outcome to be for next year."

Laguarta added that PepsiCo is seeing "long-term structural tailwinds of our categories" including demographics, urbanization and a lifestyle that's revolving around snacking.

Simply put, it's easier to forecast business when you have your costs under control and continual efficiency improvement. PepsiCo has an initiative called pep+ (PepsiCo Positive) that features product innovation, new markets and a lot of cost management. In a nutshell, PepsiCo has been carrying out the following transformation efforts.

  • Cost management through supply chain and distribution efficiencies.
  • Identifying waste throughout its value chain.
  • Leveraging global business services to cut general and administrative expenses.
  • Using analytics, process mining and data to speed up decisions, optimize routes and execute in stores.
  • Modernizing IT systems across businesses and countries.

That transformation is enabling PepsiCo to adapt and execute no matter what the market brings.

In February at the Consumer Analyst Group of New York (CAGNY) conference, PepsiCo outlined its transformation. Laguarta noted that PepsiCo set out in 2019 to become more agile and efficient while innovating in its categories. The company invested in e-commerce and direct-to-consumer and tools that improve how PepsiCo works.

Laguarta said PepsiCo has been delivering $1 billion in productivity savings a year for the last four years by consolidating and connecting systems, leveraging automation amid labor shortages and optimizing routes. Laguarta said:

"We've invested a lot in AI, we've invested a lot of Internet of Things, automation, et cetera, to drive the output. I would maybe go deeper into what I think is one of the most important competitive advantages of our company is the fact that we get to the point of sale ourselves. And we've been investing in technology and information for our salesmen to optimize the portfolio with precision store by store. So, we can read who lives around that store, who buys in that store, and our salesmen have that information to optimize the planogram on that particular store to maximize the throughput. And that has been a pretty powerful tool.

I think we're only scratching the surface."

As for the tech stack, PepsiCo has appeared as a reference account for Salesforce, SAP, ServiceNow and Snowflake among others.

PepsiCo is also a Celonis customer and has used process mining for multiple processes including accounts receivable, sales orders, distribution and inventory to name a few. PepsiCo is also migrating to SAP S4/HANA and was a featured customer at SAP Sapphire 2023. Johnston said in February at the CAGNY investment conference that "we're all going through the upgrade as SAP is moving to the cloud, moving to S/4HANA."

That migration isn't unique in consumer product goods since SAP is forcing the cloud move, but Johnston noted there are benefits in that you have more harmonized data for future platforms and analysis for supply chain, logistics and store optimization. "There's a ton of power once you get the data right," he said.

Here are two slides that sum up PepsiCo's core transformation technologies.

More from the buy side:

 

 

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Domino's Pizza eyes generative AI, Microsoft and Uber tech to drive growth

Domino's Pizza eyes generative AI, Microsoft and Uber tech to drive growth

Domino's Pizza is known as a tech savvy company that has been ahead of the mobile and data curves and now it plans to leverage integration with Uber Eats, revamp its loyalty program and reinvent its customer experience and boost productivity with generative AI.

The company has been transforming from a pizza maker with delivery service to a food delivery platform. CEO Russell Weiner said on Domino's Pizza's third quarter earnings call that its "initiatives are designed to create significant shareholder value in the months and years ahead."

According to Domino's, these new experiences will "lead to loyal customers who will provide considerable lifetime value for our brand and our company." Domino's has more than 6,700 US stores and about $4.5 billion in annual sales with two-third of revenue coming from digital channels.

Here's a look at what Domino's is cooking up:

Revamped loyalty program. For firms like Domino's loyalty programs are key to drive customer engagement. The company changed its Domino's Rewards levels to drive more consumption by lowering spend thresholds and the point system to redeem items. "This change will make us even more competitive in the carryout segment where ticket tends to be lower," said Weiner, who added that the data shows higher engagement.

Domino's also said that customers who use the company's e-commerce platform will automatically earn an Emergency Pizza. 

Also see: Starbucks’ new CEO: ‘We can enhance our tech stack to lower costs and reinvest’

Uber Eats integration. In July, Domino's and Uber announced they would integrate platforms. The idea was to drive sales through delivery orders. For Domino's the move was a reversal given it had previously shunned delivery aggregators. In its regulatory filings, Domino's cited delivery aggregators as competitors along with traditional rivals.

Weiner said that "our integration into the Uber Eats platform is proceeding as planned." Uber Eats will be to deliver from Domino's US stores by the end of the year. He said:

"We expect this initiative will drive incremental delivery volume from new customers, increase our share of the pizza delivery market and create stronger economics for our company and franchisees. This will begin in a measurable way in the first quarter of 2024. We want to exceed the expectations that the incremental customers will get through Domino's Rewards and Uber Eats."

Right now, Weiner said it is piloting the integration to work out "the handshake between two really large platforms." "We already deliver more pizzas than anyone in the country, and so as we take on these incremental orders, we just need to make sure that technology works. That's what we're doing now and then certainly making sure the staffing is right, and we're working with Uber and our franchisees to do that," said Weiner.

Microsoft partnership on generative AI. In October, Domino's announced it is partnering with Microsoft on generative AI to "create the next generation of pizza ordering and operations technology."

Weiner said:

"Our teams are focused on two important goals: first, transforming customer experiences by enhancing the ordering process through personalization and simplification; and then second, streamlining operations and quality control with more predictive tools."

These projects are expected to drive sales starting in the fourth quarter and 2024 and drive a more efficient model for the company.

For Domino's, the Microsoft partnership is also about choosing to buy rather than build. Domino's historically had invested in technology at the expense of product innovation. Today, Domino's wants to be more product focused with proprietary technology driving competitive advantage. Weiner said:

"As you look back in the history of Domino's, we certainly have built more things internally when it comes to competitive points of difference. I think we've always said, you can't outsource a competitive point of difference. There's going to be a competitive point of difference with generative AI solutions, and we think we've got the resources and the pizza expertise internally.

What we've got with Microsoft is the best in the field externally. And so, you take those two things together, and it's not just cost, it's also an impact."

"This is kind of a hybrid here, best-in-class, both best-in-class pizza, best-in-class AI."

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JPMorgan Chase: Why we're the biggest tech spender in banking

JPMorgan Chase: Why we're the biggest tech spender in banking

JPMorgan Chase executives were asked a simple question during its third quarter earnings conference call: What's the benefit of spending the most on technology in the banking industry? The answer illustrates how every company is a tech company to stay relevant and customer engagement has to span multiple channels.

The banking giant is known as a big spender on technology. Some of this spending is to maintain infrastructure, but a lot of it is tied to automating processes, engaging customers and investing in artificial intelligence. For the AI strategy at JPMorgan Chase, see our recent customer storyView full PDF

Here are some of the reasons JPMorgan thinks it's wise to spend heavily on IT.

Customer engagement. CFO Jeremy Barnum answered the technology spending question with a digital customer lens. JPMorgan Chase has more than 53 million mobile consumer banking customers. Barnum noted that digital engagement is higher than the overall growth in customer accounts. Digital-only customers remain a small percentage of the overall customer base.

Barnum said:

"What are the benefits of being the biggest tech spender? I just think it's sort of mandatory right? I mean, we're a big and very technology-centric business, and the world is competitive. And everything is changing. Younger generations have different expectations, and we have to be nimble, and we have to be on our front foot. And otherwise, we risk getting severely disrupted."

Competition. JPMorgan Chase CEO Jamie Dimon said the bank has to invest in technology to stay relevant. He said Wells Fargo is an obvious competitor, but there are non-traditional rivals too like Apple, Stripe, Chime and Dave too. "There’s a lot of people coming up with these businesses in different ways. Some have been quite successful, like Stripe in payments. And so, we want to be very good and very competitive," said Dimon.

AI and the customer experience. Dimon was asked about JPMorgan Chase's AI investment and whether the bank could control the front-end customer experience. Dimon said AI is a tool that goes well beyond being the front-end of an app.

Dimon said:

"Banks have an extraordinary amount of proprietary data in addition to a large language model of public data. AI is an extraordinarily good tool to use. And there are multiple types of AI. So, we use AI for risk, fraud, marketing, prospecting. The management team is getting better and better at using data to do a better job of reducing errors, to serve clients better and to have a salesperson with co-pilots. We simply have to do it. Does it create opportunity for disruptors to come in? Yeah, of course. That’s always been true with technology, but we'll be quite good at it."

Spending going forward. Barnum said the company is still going through the budget process for the year ahead, but IT spending will likely be up. However, much of that technology spending is for futureproofing as well as increasing returns. "We're always very focused on cost. You can be rest assured of that. That discipline internally is as aggressive as ever as we go through the budget cycle. But there are long-term plays," said Barnum.

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Lessons on leadership, life, management via DisrupTV

Lessons on leadership, life, management via DisrupTV

Each week I comb through Constellation Research's DisrupTV transcripts and videos for insights, news nuggets and items that can provide context on enterprise trends and topics.

What has come from this exercise--aside from a bevy of articles--is a bevy of life and work lessons. DisrupTV at times is one part book club and one part wisdom dispenser with a dash of professional career therapy. To that end, I'm going to start aggregating things from DisrupTV that made me go hmm and may not fit with the daily enterprise tech grind.

Here's the running list:

Mike Hayes, Chief Operating Officer, VMware; Author, Never Enough: A Navy SEAL Commander on Living a Life of Excellence, Agility, and Meaning.

  • "Life is really about people, whether you're in the Seals, White House, Boardroom or any enterprise of any size."
  • "Wisdom is a series of learnings from a bunch of things you wish you could have done differently or wish came out differently."
  • "You're only excellent if you know, you're never excellent enough."
  • I think it's so incredibly important to really think about doing more for others than self. And when you solve hard problems, then you share in the victory and in the win and whether it's life or in business, you share in the economic value that you create.
  • "In the Seals, we could be absolutely up or absolutely down. But what matters the most is relativism because on any team, somebody is always relatively up and somebody else is always relatively down. The person who's relatively up has to reach in to help the person who's relatively down today because tomorrow I'm gonna be the one who's down. In the words of my grandfather, when you are down, the best thing to do is find somebody who else is further down than you are and pull them up."
  • "When somebody succeeds or fails, you can't yet know if they failed. You have to go down the logic tree one more node and say, did you fail and learn? If you failed and learned, then you succeeded."
  • "Agility is like one of those words, like leadership, where everybody's got a different definition and it never sounds quite right because there's always something that's missing. My thoughts about agility are really like the way Seals plan for missions. We go into a mission with a plan, but the plan from the beginning is for that plan to change. What I describe is that there are no playbooks. You have one playbook and it's called the meta playbook, which is the playbook for how to create the playbook in the moment. You can have 100 playbooks and that's not gonna win anything. You need one playbook. It's how do you define the vision, the outcome you want and then the strategy, which is how you're gonna get there. Then the execution."
  • "How do you self-actualize? Do you need to be the one on the stage getting the award or would you rather have one of your people getting recognized? I very, very deeply, would rather have people around me be recognized because their success is my success. And I don't need my name up in lights. And so as soon as you get to the point of your career where you no longer need any sort of credit because you have that confidence that the recognition just doesn't matter that liberates you to really think differently."
  • "I think being intrusive is so important. I've buried about 70 friends and unfortunately many of them have died by suicide. Unfortunately, I've become very comfortable asking people if they've ever considered things like harm to self. Those aren't easy conversations and 99 times out of 100 it's cringy and awkward. But I'll take 99 awkwards for one yes."

David Dodson, Author of The Managers Handbook

  • "The manager's handbook is not about how I ran companies. It happens to be how I wish I had run companies, but it was really the curation of this observation that I made about other managers. The differentiating factors among the people who are great at getting things done and everybody else was really skill based. And there were no exceptions.
  • "I was looking at people like, you know, Steve Jobs and Mark Zuckerberg and Jeff Bezos, People think they have x-ray vision, and they can see around corners and they're larger than life, but they didn't actually have red capes. They just mastered the basics and then they made sure their organizations mastered the basics."
  • "Call on people in reverse order of seniority. If you really want to pull out the wisdom of the crowd and get the benefit of having everybody in the room together that is one of the like easiest things, you can do."
  • "Walk behind the tractor comes from where I grew up. I grew up in rural Colorado. My dad manufactured farm equipment and you sell farm equipment through farm dealers. He never sold his equipment directly to the end user. He'd follow them home and essentially walk behind the tractor to know what the customers are about."

Frances Frei and Anne Morriss, authors of Move Fast & Fix Things

Frei:

  • "You can accelerate excellence if you learn how to go fast. In accelerating excellence, moving fast and fixing things can go even faster than reckless disruption."

Morriss:

  • "I think speed's bad reputation was confusing people. One of the main lessons of our work is that the most effective leaders know they're solving problems at an accelerated pace, but they're
  • also taking care of their customers and employees and shareholders along the way. We wanted to get the word out because this ethos of moving fast and breaking things is still out there and still influencing the decisions that builders and operators are making."

Frei:

  • "Create a good enough plan. And a good enough plan is distinct from the perfect plan, which is this fantastical creature that's actually never existed in the wild."
  • "You are more likely to trust me if you experience my authenticity while also experiencing my logic, while also experiencing my empathy. And it's only when you experience all three that you'll have the involuntary reaction of trusting me. And every single time you don't trust me, it will be because of one of those three drivers."
  • "Here are a couple of classic mistakes companies make. They're like, ok, I've done all of the things I'm supposed to, I'm gonna go fast. So now I'm gonna try to be great at everything. Here's what we can guarantee. If you try to be great at everything, you will end up with exhausted mediocrity."

Morriss:

  • "We love middle management as a place to go and learn and diagnose what's not working in the organization. It's a really powerful stakeholder group because they usually have all the information about what's happening. So, it's often the first place that will go."

Lisa Sun, Author of GRAVITAS: The 8 Strengths That Redefine Confidence

  • "Society has defined confidence as a behavior. When someone says we're confident it's standing on a stage, speaking up, being assertive, being in command. And if you look up the word, I, I challenge everyone to go look it up in the Oxford English dictionary. Confidence is an understanding and appreciation of your own abilities. There's nothing about swagger, there's nothing about bravado. This is why sometimes the quietest person in the room is often the one that you're saying that person has gravitas."
  • "In our adolescence, there are six forces that start to hold us back. We start to become self-aware, and we start to doubt ourselves. As adults, confidence actually requires us to make a choice to see the best in ourselves and to channel a mindset that then drives behaviors."
  • "Oftentimes when people tell you to be more confident, they're asking you to be in command or asking you to perform and be extroverted and charismatic. Less than 26% of people in our data set had those two qualities. Does that mean 80% of us aren't allowed to feel good about ourselves? Have we not valued other traits?”
  • “We do undervalue things like achieving and knowing because we expect people to perform in leading and performing. By the way, if we were all leaders and performers, nothing would get done."
New C-Suite Innovation & Product-led Growth Future of Work Leadership Chief Executive Officer Chief Experience Officer

Atlassian acquires Loom for $975 million, will add asynchronous video to platform

Atlassian acquires Loom for $975 million, will add asynchronous video to platform

Atlassian said it will acquire video messaging company Loom for $975 million in a move that brings asynchronous video to its team collaboration platform.

In a statement, Atlassian said it will acquire Loom for $975 million including Loom's cash balance. Atlassian said it will pay $880 million in cash and the remainder in equity awards. The deal is expected to close in Atlassian's fiscal third quarter.

Loom has more than 25 million users and its customers record nearly 5 million videos a month.

Atlassian, which has collaboration and productivity software aim at distributed workforces, said asynchronous video is the next evolution of team collaboration. Atlassian has more than 260,000 customers using products such as Jira and Confluence.

For the fiscal year ended Aug. 3, Atlassian delivered revenue of $3.53 billion with a net loss of $486.7 million. Non-GAAP earnings for fiscal 2023 were $492 million. The company said it was playing offense and driving enterprise sales, expanding from ITSM to supporting teams in legal and HR with Jira Service Management and adding generative AI capabilities to its platform.

Atlassian appears in the following Constellation ShortLists:

According to Atlassian, Loom's investments in AI will also be useful to provide video, transcripts, summaries, documents and workflows. Loom customers will be able to add asynchronous video into Jira and Confluence. Loom will continue to be sold as a standalone product similar to Trello, which is a subsidiary of Atlassian.

In a blog post, co-founders and co-CEOs Mike Cannon-Brookes and Scott Farquhar said:

"The rise of distributed work has meant a greater reliance on tools to help teams work asynchronously, across different geographies and time zones.

This is where async video comes in, a tool increasingly sitting side-by-side with other modes of communication like text, presentations, and spreadsheets."

Atlassian's move comes at an interesting time. For instance, video-first communications firms such as Zoom are branching out into broader collaboration.

Constellation Research’s take

Constellation Research analyst Liz Miller handicapped Atlassian’s Loom acquisition. She said:

“While this feels like a video channel pick up for the project management and work collaboration platform, Atlassian picking up Loom opens the doors to cross team collaboration and best practice documentation and exchange. Bringing Loom into the Atlassian portfolio is a good signal that the project management and collaboration platform understands that the WAY teams want to engage, share and collaborate around work is forever shifting.

In a relatively brief period of time, Loom has become one of the hottest ways for teams to communicate, share and collaborate with a growing list of use cases and applications emerging at a pace driven by users. Everyone from sellers to HR teams has used Loom videos as a quick and easy way to communicate. Some of the most interesting use cases have been teams cataloging best practices and “how to” sessions as they learn tools, tricks and shortcuts to getting the job done. We have also seen other CX functions leverage “Looms” from customer service knowledge center clips to quick bite demos being used to deliver brief introductions in sales motions to tutorials around company policy or team on boarding.

Asynchronous communication across project teams is just one step to this pick up…and to be sure, it is an important addition to enable cross project team collaboration via video messaging. However, what this deal also opens for organizations managing complex projects with Atlassian is historical knowledge exchange and documentation. Loom videos have become a powerful connection between the teams of today and the teams of tomorrow. It can also provide a critical content pipeline to teams looking to gain insights from video conversation transcripts or AI powered summaries or analytics.”

 

Related:

Future of Work Data to Decisions Innovation & Product-led Growth New C-Suite Tech Optimization Chief Information Officer Chief Experience Officer

CX Transformation, Workday Rising, Tech Earnings | ConstellationTV Episode 67

CX Transformation, Workday Rising, Tech Earnings | ConstellationTV Episode 67

🎬 ConstellationTV Episode 67 just dropped! Co-hosts Doug Henschen & Dion Hinchcliffe give a rundown of the latest enterprise #tech news, Larry Dignan interviews SuperNova finalist Mary Farrell Kent CGMA ACMA from Magnox Ltd about transformational #CX initiatives, then Holger Mueller and Doug share key takeaways from Workday Rising.

00:00 - Introduction
01:09 - Tech News (Tech #earnings, cyber security attacks, #cloud)
14:13 - SuperNova Finalist Interview about CX Transformation
25:32 - Analysis of Workday Rising
35:50 - 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.

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