Results

Delta puts numbers on CrowdStrike outage, sets up interesting discovery period

Delta put some figures on its plans to recover at least $500 million in damages from CrowdStrike and Microsoft.

In an SEC filing, Delta broke down the outage impact this way:

  • $380 million direct revenue impact due to refunds and customer compensation with SkyMiles or cash.
  • $170 million in non-fuel expenses due to operational recovery, which includes customer expense reimbursement and crew costs.
  • $50 million in gains from lower fuel expenses due to 7,000 flight cancellations.

Add it up and you get to Delta's $500 million figure.

CrowdStrike and Microsoft have volleyed letters with Delta and the core points against Delta were:

  • Both vendors offered to help Delta, but didn't get responses.
  • Delta's creaky infrastructure and IT practices shouldn't be put on vendors.
  • Delta has to explain why it couldn't recover when competitors restored operations faster.

What's next? More volleying between a customer and two vendors and a handful of lawsuits. The discovery process on Delta's technical architecture is going to be fascinating to watch and fodder for IT management case studies in the future.

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HOT TAKE: Five9 Picks Up Outbound Revenue Player to Level Up Proactive Profitable Experiences

For decades, the capacity to automate and operationalize outbound calls being made for sales, promotions or collections calls were a tightly isolated and specialized toolset. Contact center leaders were typically forced to manage the operations and orchestration of inbound calls separately from outbound calls, with the data and intelligence in those calls being trapped within individual communications solutions. Mix those channel streams and chaos ensued. In highly regulated and sensitive markets like finance and healthcare, this is doubly true.

Enter the age of customer experience strategy that realizes carefully orchestrated, data-driven communications like proactive calls, texts or emails would be welcome by customers and could help turn a potentially negative experiences into exceeding positive ones. From campaigns designed to help customers stay on track for payments, to setting appointments or even managing renewals, these interactions could not only impact the bottom line favorably, but in the long run, would have a massive impact on customer lifetime value and loyalty.

This is the strategy of proactive engagement…and this is the underlying opportunity for Five9 customers thanks to the intended acquisition of Revenue Execution Platform, Acqueon.

What We Know About the Deal: The announcement was short on financial details, but what we do know (aside from the deal expecting to close in 2024) is that Acqueon and the revenue potential and customer base it brings to Five9 is hardly an unknown quantity. The two organizations know each other well, establishing a successful technology partnership since 2022 when Acqueon called itself a conversational intelligence platform.

In a briefing just prior to the formal acquisition announcement, executives from both Five9 and Acqueon told Constellation Research that beyond the technology integrations, most notably around the EPIC Electronic Health Record (EHR) Connector, the two organizations have been effectively selling together and have seen significant common ground from both a vision and culture perspective. Both are also eagerly eyeing a larger role in the larger customer experience stack that would have both move beyond their current positions in the contact center.

What Makes Acqueon so Interesting: From appointment setting sent in a preferred channel to payment reminders for mortgages to utilities sent to customers most likely to pay late, Acqueon has taken a very familiar approach for marketers and applied it to revenue execution: establishing personalized engagements with the right customer, at the right time and in the right channel. Where Acqueon has built a shining reputation is in orchestrating customer communications that are purpose-built for revenue realization be it through sales or collections. Currently servicing over 200 customers, Acqueon boasts an impressive logo list of large banks, financial institutions, healthcare, government agencies, utilities and mortgage and lending institutions, working exclusively with B2C brands, many in regulated markets. This plays exceedingly well with Five9’s own industry focus and continued investment into moving upmarket in larger enterprise accounts. It also could prove to be an interesting companion and natural partner of the data and analytics solution for the contact center, Aceyus, that Five9 acquired in 2023.

What it Means for the Market: This acquisition brings Five9 into that cadre of contact center and communications players that know and understand that a customer’s experiences refuse to remain in a single channel, let alone single silo. Others in the market have moved in a similar direction with NICE closing their acquisition of LiveVox in late 2023. On the customer interaction data front, players like 8x8 have introduced their Customer Interaction Data Platform (CIDP) as the core data repository from which a company can make more intelligent customer and agent experiences.

What it Means for Existing Customers: According to Five9, Acqueon’s customers should expect the same exceptional levels of service and innovation they receive today. Five9 has noted they expect to operate the company as a business unit of Five9, similar to Aceyus. Acqueon had spent a good part of 2023 forging deeper partnerships with contact center players like Genesys, NICE and Twilio. Built atop AWS, it is also no surprise that there is also a partnership with Amazon Connect. For the immediate future, and similar to the operational structure and practices of Aceyus, Acqueon customers should not expect any major disruptions while Five9 customers will be eager to see more native integrations and a carry-over of the AI innovations (especially around automations) that Acqueon has built into their solution.

My Parting Thoughts: This is a nice round-out to Five9’s capabilities, delivering a truly comprehensive modern contact center experience that sheds the baggage of the industry’s history and developmental path. Through acquisition and platform innovation, Five9 is delivering on a far more “total experience” as opposed to cementing old operational lines drawn decades ago. The pain and complexity of revenue clawbacks and collections should not be minimized. While the ethical and regulatory guidelines for all phone-based communications are well discussed and debated, there are far more stringent and costly regulations set forward to specifically protect consumers from predators that have used voice and digital channels to terrorize, torment and turn awkward and sensitive moments into some of the worst experiences of a customer’s life. Bringing these key experiential actions into a single pane of glass to align the best of intentions with the best of our innovations is not something to overlook. This acquisition adds depth to the Five9 offering and brings revenue opportunity into view for the contact center…and who doesn’t like revenue?

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Five9 acquires Acqueon, cuts Q3 outlook

Five9 said it will acquire Acqueon, a revenue execution company, to round out its Intelligent CX Platform.

The company is aiming to be "the orchestration engine for every interaction across the entire customer journey, including marketing, e-commerce, sales and customer service."

Five9 CEO Mike Burkland said the plan is to leverage Acqueon to combine customer preferences with omnichannel outreach. The data from Acqueon will also bolster Five9's Genius AI Suite. Five9 also fleshed out its Genius AI Suite with Five9 AI Knowledge. 

See Liz Miller's take on Five9's acquisition, quarter and strategy going forward

Separately, Five9 reported a second quarter net loss of $12.8 billion, or 17 cents a share, on revenue of $252.1 million, up 13% from a year ago. Non-GAAP second quarter earnings were 52 cents a share, 8 cents a share better than Wall Street estimates.

As for the outlook, Five9 projected third quarter revenue between $254.5 million and $255.5 million with non-GAAP earnings of 57 cents a share to 59 cents a share. For 2024, Five9 is projecting revenue of $1.013 billion and $1.017 billion with non-GAAP earnings of $2.25 a share to $2.29 a share.

For the third quarter, Wall Street was looking for revenue of $267.2 million. For 2024, Wall Street was looking for revenue of $1.06 billion. "As we look to the remainder of the year, we are reducing our annual revenue guidance by 3.8%, reflecting recent bookings trends and the uncertain economic conditions," said  Burkland.

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Equinix, Digital Realty: AI workloads to pick up cloud baton amid data center boom

Enterprises are beginning to leverage data centers for generative AI workloads, but it's more of a progression in conjunction with hybrid cloud deployments.

That's one of the high-level takeaways from recent earnings from Equinix and Digital Realty, which have a broad footprint of co-location facilities used by cloud service providers as well as enterprises.

Constellation Research analyst Holger Mueller said:

"AI is moving workloads to the cloud and Equinix and Digital Realty benefit from that demand. We are a critical juncture though, as the next generation of AI requires liquid cooling and there is substantial CAPEX needed. When looking at the cloud growth rates of the top 3 - and their dozen or so liquid cooled data centers - they are doing better than the co-location vendors. We will see in the next quarter where the workloads go. It is clear that the next-gen of AI computing architecture will also follow the rules of data gravity - so critical amounts of data will determine where the AI workloads - and with that revenue will flow."

Speaking on Equinix's second quarter earnings call, CEO Adaire Fox-Martin outlined how AI workloads--training and inference--will work out for the company.

"When I think about our demand and the customer needs, it is actually much broader than the AI portfolio. Many of our customers have made a very significant commitment to hybrid and to multi-cloud. And as customers become more at ease with cloud as a technology paradigm, we can see many more workload-based decisions beginning to occur," said Fox-Martin.

He added that short-term demand is coming from cloud service providers using Equinix's xScale platform. These are mostly model training workloads today, but inference will be a big market too, said Fox-Martin.

"Many CIOs, like in the early days of cloud, are looking to ensure they have an AI strategy. We are beginning to see enterprise training and a funnel as we look at customers evolving from proof-of-concept into working production systems," said Fox-Martin.

Equinix is seeing strong backlog for AI workloads as well as strength in the enterprise mid-market retail business. "We absolutely have AI-ready data centers ready to take workloads," said Fox-Martin. "We are working with many of our CIOs to support their AI strategy."

Digital Realty Trust last month on its second quarter earnings call outlined a top customer list that was heavy on cloud service providers and social media companies. JPMorgan Chase was one of the few named enterprises on the list.

Andrew Power, CEO of Digital Realty Trust, said "demand for data center capacity remains as strong as we've ever seen" and noted that the company has "a robust land bank and shell capacity that could support 3 gigawatts plus of incremental development."

It's not hard to figure out who is gobbling up Digital Realty Trust data centers based on its top 10 customers.

Power said the company is seeing strong demand from digital transformation, cloud and AI workloads. Power said:

"Traditional data centers were already being pushed to their limits on demand for cloud and digital transformation. Whereas demand for AI-oriented data center infrastructure is being accommodated in upgraded suites in our existing facilities and in newly built facilities. These AI workloads are taking place on specialized hardware with massive parallel processing capabilities and lighting fast data transfer speeds.

Fortunately, Digital Realty's modular data center design can accommodate these evolving requirements."

The biggest wild cards for this data center boom are power, construction, easements and a concentration of facilities in one area like Northern Virginia, said Power, who added sustainability concerns are critical too.

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Trust and Safety Challenges in the Age of AI

In the following interview, we're peeling back the curtain on the complex world of content moderation. Hear industry experts from Constellation Research, Tremau, and Cognizant unpack the complexities of content moderation in today's digital age, including the challenges of balancing global regulations with local sensitivities, the rise of content moderation as a service, and the future of trust and safety online.

R "Ray" Wang and Steve Wilson were joined by Kanti Kopalle, VP, Intuitive Operations and Automation at Cognizant, and Louis-Victor de Franssu, Co-Founder of Tremau. Together they explored:

📌 The impact of national sovereignty on content control
📌 The role of technology in addressing content moderation challenges, and
📌 The importance of global approaches to trust and safety.

 

On ConstellationTV <iframe width="560" height="315" src="https://www.youtube.com/embed/nC7t6i3FLVE?si=Ns6nSHy5iYLMQfLx" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>

Palantir to deploy platforms on Microsoft Azure

Palantir Technologies said it will deploy its AI Platform (AIP) on Microsoft Azure for U.S. government agencies and use Azure OpenAI service.

The Palantir-Microsoft partnership follows an arrangement with Oracle to target government customers.

Under the Palantir and Microsoft partnership, the two companies will offer an integrated suite that combines Microsoft LLMs with Palantir AIP within Azure's government and classified cloud environments.

Palantir will deploy its Foundry, Gotham, Apollo and AI offerings within Microsoft Azure Government and Azure Government Secret and Top Secret clouds. Palantir will also be an early adopter of Azure OpenAI Service in Microsoft's Secret and Top Secret environments.

According to the companies the combined offering will be able to build out AIP use cases across the defense and intelligence industries. Shyam Sankar, CTO of Palantir, said the company is the first industry partner to deploy Microsoft Azure OpenAI Service in classified environments.

The companies also said that Palantir and Microsoft will team up on AIP bootcamps for defense and intelligence. AIP bootcamps have been able to raise Palantir's profile in the enterprise and quickly lead to contracts.

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Box acquires Alphamoon Technology, aims to integrate LLMs, OCR into Box AI

Box said it has acquired Alphamoon Technology in a move that will enable it to combine large language models (LLMs) and document processing technology to its platform.

The purchase complements Box's recent move to acquire Crooze. Box is building out its Box Intelligent Content Management platform to use AI to automate document-related tasks and extract metadata from business content.

In May, Box CEO Aaron Levie outlined the company's long-term strategy for Box AI and mining unstructured data, workflows and vertical use cases. Regarding Alphamoon Technology, Levie said Alphamoon Technology will be integrated into Box AI.

Box said Alphamoon Technology will complement its Intelligent Document Processing with the ability to use optical character recognition (OCR) to understand complex documents, extract metadata and integrate third party LLMs securely. Alphamoon Technology can read and automate the processes attached to invoices, deeds and receipts.

Alphamoon Technology will also be integrated with external applications via Box's partnership with Salesforce.

Constellation Research analyst Liz Miller said the Box acquisition of Alphamoon Technology makes a lot of sense. She said:

"This is a smart move by Box, an application that has long been part of the content supply chain, often straddling the gaps between content management systems designed for enterprise content storage and use and those content management systems built for experience centric applications including digital asset management.

Adding this capacity to quickly (and at scale) process documents and extract data from them adds a new intelligence stream to transform a trove of documents into a stream of intelligence and insight. This is a move we have seen from other asset, content and document players as the worlds of CMS and ECMS align and, in some cases, converge. The question (and test) for Box will be how they take the next step: will they stay isolated as a repository for these assets and documents or will they engineer smarter pathways to send this data outside their walls?"

 

 

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HubSpot's Q2 shines as customers consolidate on its platform

HubSpot reported better-than-expected second quarter results as customers of the CRM vendor decided to consolidate on its unified platform.

The company reported a second quarter net loss of $14.4 million, or 28 cents a share, on revenue of $637.2 million, up 20% from a year ago. Non-GAAP second quarter earnings were $1.94 a share. The company improved non-GAAP operating margins in the quarter to 17.2% from 14.5% a year ago.

Wall Street was expecting HubSpot to report second quarter earnings of $1.64 a share on revenue of $619 million. HubSpot was reportedly a buyout target for Google Cloud, but talks broke down.

Speaking on an earnings conference call, HubSpot CEO Yamini Rangan said customers are buying multiple hubs and leveraging the common data platform for insights. "We're going to build best-in-class engagement hubs, but most importantly, we're going to build a platform that unifies data insights across all of those hubs," she said. "If I were to point to one thing that we're seeing in the last few quarters, it is the multi hub momentum."

Rangan said HubSpot had multi-hub wins for marketing, sales and service as well as content. "Our customers acquired a bunch of point solutions, and they are struggling to integrate all of those data points into actionable insights and to control the cost, and they're looking for much better ways to be able to get all of that information into a single platform," said Rangan.

In addition, HubSpot layers commerce data, transaction data and payments data into its CRM platform.

HubSpot's earnings are notable given an uncertain macro environment. Rangan said customers are slowing to make decisions and using committees to approve purchases. Sales cycles are now longer.

However, HubSpot is winning wallet share. "When we talk to customers even when they are not ready to make a decision it's mostly not now for HubSpot and not a no," said Rangan.

Constellation Research analyst Liz Miller said:

“What Hubspot proves, time and again, is that easy wins the day. The reality is that establishing a hub for engagement across Sales, Service and Marketing functions can be exceedingly difficult…painful in fact. One minute you are deploying a point solution, the next you have given rise to a frankenstack. Hubspot is easy to navigate, easy to acquire, easy to adopt and easy to integrate and use. Hubspot no longer meet your needs? Hubspot makes it easy to transition while still leaving the door open to return and possibly expand. With a vibrant community of excited users, the Hubspot-vibe is one of success and positive growth. Customers are happy to consolidate around something that just works for their business and stage of growth.”

As for the outlook, HubSpot said its third quarter revenue will be between $646 million to $647 million with non-GAAP earnings between $1.89 a share to $1.91 a share.

For 2024, HubSpot is projecting revenue between $2.567 billion and $2.573 billion. Non-GAAP earnings will be between $7.64 a share to $7.70 a share.

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HOT TAKE: ZoomInfo’s New AI Copilot, Gong Integration Underscore the Need for a Customer Data Value Chain

ZoomInfo has been busy over the last few months. The company first debuted its AI Copilot tool set on May 21st. The company quickly followed up with a pre-packaged integration with Gong this week. 

The Copilot is what you would expect: taking the most relevant buying signals — intent spikes, key hires and personnel moves, insights from our partner ecosystem, and the B2B company and contact data ZoomInfo has been known for - and pushing that insight to sellers. These alerts can be shared across multiple channels, allowing teams to quickly triage emerging opportunities and act decisively on high-quality intent signals.

The Copilot can be used by marketing teams as well. According to ZoomInfo marketers can access a ranked and prioritized list of the companies and buyers in-market, based on the high volume of signals analyzed and prioritized by ZoomInfo Copilot’s AI every day. The gen AI capabilities allow for typical Gen AI use cases for sellers: account and opportunity summaries, suggested accounts to engage that might be overlooked, etc. 

The new Copilot integrates with Salesforce and Hubspot, and can link to other CRM systems as well - but the integration with Gong is eyebrow raising on a few levels. The combination of call records and other interaction data meshed with ZoomInfo’s large data set - attacked by AI - can offer up even more timely recommendations, prioritized outreach plans, uncover buying committee members that might be present on calls but NOT in the CRM, etc. 

As go-to-market teams look to be more data-centric, and leverage AI, the good news is that a lot of revenue platform tools are coalescing to create a type of Customer Data Value chain, breaking down the silos (so you don’t have to!) to get at a richer, wider set of customer data in order to show value through AI. 

We are getting to a tipping point, where AI is both so embedded in common go-to-market tools, and the need to stay competitive are both so high that nearly all B2B firms must be at least dipping their toes in the water in terms of AI and creating far more expansive customer views. Again, the good news is the “heavy lifting” to get to a Customer Data Value Chain model is becoming less and less arduous. 

Of course, with all AI tools, building out an internal usage policy and governance team is essential. But the implementation side of things is becoming less of a burden, with more impetus to act rather than sit on the wayside in strategy, rather than action mode. 

Fortinet: Two acquisitions, Q2 results set it up as platform play

Fortinet appears to be setting itself up to be more of a rival to Palo Alto Networks with the acquisitions of Next DLP and Lacework as well as better-than-expected second quarter results.

Ahead of its second quarter results, Fortinet announced the acquisition of Next DLP, which is focused on insider risk and data protection. Fortinet said the purchase of Next DLP will improve its position in the standalone enterprise data lost prevention (DLP) market and complement its endpoint and secure access service edge (SASE) businesses.

In addition, Fortinet completed its purchase of Lacework, a cloud-native application protection platform (CNAPP) provider. Fortinet plans to integrate Lacework with its Fortinet Security Fabric.

Here's how the technologies fit into the Fortinet stack.

Ultimately, Fortinet is piecing together a broad cybersecurity platform that covers secure networking, unified SASE and AI-driven SecOps. In other words, Fortinet's billings trend highlight how it'll look more like Palo Alto Networks.

Speaking on Fortinet's second quarter earnings conference call, CEO Ken Xie said:

"We continue to build our own SASE delivery infrastructure, including leverage of FortiGate technologies, providing us with a competitive long-term cost advantage. We acquired Next DLP, a next-generation cloud-native SaaS data protection platform, extending from endpoint to cloud. This will allow us to enter the stand-alone enterprise DLP market as well as the market for the SASE solution."

Xie also said that the Lacework purchase will give it "one of the most comprehensive full-stack cloud security solutions available from a single vendor." The Lacework AI-driven platform will be combined with Fortinet's security platform to cover network, cloud and endpoint.

Constellation Research's take

Constellation Research analyst Chirag Mehta outlined how Fortinet's approach can make it formidable. 

"In today’s complex multicloud and hybrid world, where remote work is the norm, traditional perimeter security is becoming obsolete. As more organizations move to the cloud and seek to enhance their security posture, Secure Access Service Edge (SASE) solutions are increasingly in demand. Fortinet is addressing these needs by bolstering its portfolio to meet customer requirements for networking and cloud security.

Fortinet's recent acquisition of Lacework significantly strengthened its cloud security portfolio by incorporating Cloud Native Application Protection Platform (CNAPP) capabilities. This acquisition also provided Fortinet with access to Lacework's advancements in DevSecOps, enhancing its overall security offerings.

Now, with the acquisition of Next DLP, Fortinet has further fortified its SASE portfolio. AI-led Data Loss Prevention (DLP) solutions are crucial as data security remains a significant concern for customers adopting AI technologies. CxOs often struggle with visibility into “shadow AI” systems and the associated data movement, which expands their attack surface. Next DLP's capabilities address these critical issues, ensuring better data security and compliance.

With steady organic growth and strategic acquisitions, Fortinet is positioning itself as a formidable competitor to Palo Alto Networks, which has pursued a similar strategy of acquisitions and organic investments. However, while Palo Alto Networks' push for platformization has raised concerns about vendor lock-in, Fortinet's approach offers customers more flexibility and options, addressing their diverse needs in the evolving cybersecurity landscape."

Second quarter results

Fortinet is clearly looking to expand wallet share with large enterprises as well as mid-sized businesses. Fortinet touted a series of 7-figure deal wins due to its ability to use FortiOS to consolidate security functions into one platform.

The company reported second-quarter earnings that were well ahead of expectations. Fortinet reported second-quarter earnings of $379.8 million, or 49 cents a share, on revenue of $1.43 billion, up 11% from a year ago. Non-GAAP earnings were 57 cents a share.

Wall Street was expecting Fortinet to report earnings of 41 cents a share on revenue of $1.4 billion.

As for the outlook, Fortinet projected third quarter revenue between $1.445 billion and $1.505 billion with non-GAAP earnings of 56 cents a share to 58 cents a share. For fiscal 2024, Fortinet projected revenue between $5.8 billion to $5.9 billion with non-GAAP earnings of $2.13 a share to $2.19 a share.

Xie added that Fortinet can expand beyond IT security to operational technology. The general theme for Fortinet is that it has a cybersecurity stack and unified operating system that can make it a platformization player over time.

Digital Safety, Privacy & Cybersecurity Security Zero Trust Chief Information Officer Chief Information Security Officer Chief Privacy Officer