Salesforce Expands the Value of Slackbot with the Introduction of Slackforce Surfaces

by Gregg Willsky, posted in Cloud Enable, Communicate
Close-up portrait of a smiling man wearing glasses.
G. Willsky

Summary Bullets:

• Slackforce Surfaces are front doors into data and context that enable users to grasp a deeper understanding of their business and make more informed decisions.

• Slackforce Surfaces represent the latest chapter in the renaissance of Slackbot, advancing Slack as a key part of the Salesforce organization.

Salesforce has deepened its investment in Slackbot, the AI-driven personal work agent built into Slack, with the debut of Slackforce Surfaces. The introduction will raise the utility of the Slack platform and further cement the starring role Slack has come to play at Salesforce.

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A New Breed of Conversational AI is Leading to Voice Resurgence in Customer Service

by orumohiuddin, posted in Big Data, IT Leader

Summary Bullets:

• Conversational AI is driving a major voice resurgence in customer service by improving the IP voice experience.

• Long call queues on account of human agents being thinly stretched across large call volumes have led to customer frustrations and poor CX, but modern versions of conversational AI are set to change that by taking away the frictions associated with voice.

It was believed that voice would diminish in value as digital channels started to emerge as an alternative to the voice channel. While messaging and chatbots offer cost and scale advantages, GlobalData’s research shows that voice continues to remain a vital channel for connecting with customers despite the frictions. Voice provides instant gratification and tends to be more straightforward to use as it does not involve navigating through messaging channels, websites and so and having to type messages. While the elderly demography tends to prefer voice due to greater familiarity, voice is seen to be popular even with the younger generation.

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Public Opposition to New Data Centers Disrupts but Doesn’t Derail US Facilities’ Expansion

by Amy Larsen DeCarlo, posted in Big Data
Amy Larsen DeCarlo – Principal Analyst, Security and Data Center Services

Summary Bullets:

  • As rapid advances in AI application development drive demand for more processing capacity, US-based cloud providers are investing heavily in building out facilities to support these deployments.
  • But not everyone is on board with expansion plans, with public criticism stalling some development efforts, forcing hyperscalers to pivot to new locations, often in more remote areas.

AI is changing the cloud landscape, creating the near-term need for a vast increase in processing power and storage space. Hyperscalers are responding with substantial facility construction plans. Just this year alone, Amazon Web Services, Google, and Microsoft Azure are pouring a total of $500 to $700 billion into extensions of their data center footprints. Given AI’s dominance in enterprise technology investment plans, this is a logical track. However, not everyone is on board with these aggressive development plans -and AI plays a role in that resistance.

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Google’s New Tools Support ‘Value Maxxing’ to Address Organizations’ Growing Concern Over AI ROI and Tokenomics

by Rena Bhattacharyya, posted in Big Data
R. Bhattacharyya

Summary Bullets:

• After a period of ‘token maxxing,’ organizations are looking to reign in and better control inference costs.

• Instead, enterprises are now embracing ‘value-maxxing,’ which focuses on outcomes.

Last week, Google announced several enhancements to Gemini Enterprise designed to help enterprises obtain greater and faster ROI on their AI projects. The improvements address one of the biggest frustrations expressed by organizations today, namely that the benefits promised by AI are taking too long to realize. Companies are clamoring for domain specific solutions in order to speed the deployment, reduce the integration complexity, and increase the value obtained from AI projects. Additionally, business leaders are eager for better tools to help them manage AI costs. They are looking for improved visibility on token use and costs, more proactive spending controls, and more flexible payment options.

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AI Changing the Commercial Model for Fiber Build

by Brendan Swan, posted in Big Data, Cloud Enable, Communicate
B. Swan

Summary Bullets:

• Zayo will build 8,000 miles of new long-haul fiber across key AI corridors, with Nvidia becoming its anchor customer.

• Nvidia’s extends beyond GPUs and compute, with partnerships spanning the optical and networking ecosystem underpinning AI infrastructure.

Until now, the AI Infrastructure race has predominately been focused on GPUs, data centers and access to reliable power, yet beneath all three sits a less visible, but increasingly critical, layer – connectivity. As AI workloads become larger, more distributed and dependent on moving large volumes of data between locations, fiber is emerging as a fundamental component of the AI Stack. Zayo’s recent announcement to build 8,000 miles of new long-haul fiber across key AI corridors, backed by Nvidia as its anchor customer, could mark the new beginning of a new investment cycle for terrestrial networks. The bigger question is whether AI-related companies could become the anchor customer needed for the next generation of fiber investment?

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Zoom is Delivering Better CX by Combining Communications, AI, and Workflow into One Platform

by siowmeng, posted in Cloud Enable, Communicate
S. Soh

Summary Bullets:

• Zoom CX is a credible option for enterprises looking to transform their customer engagement with omni-channel and AI capabilities.

• Working with a broader partner ecosystem is pivotal for Zoom to win in CX space since this involves workflows and different business applications.

Zoom is well-known for its conferencing solution, which is used extensively in modern workplace, but it has gone well-beyond conferencing in recent years. The core business of Zoom has been the enabler of conversations within the workplace. To go beyond communications, the company sees new opportunities by expanding its role to help enterprises automate workflows during and after conversations (i.e., meetings and phone conversations). This vastly enlarges the value Zoom can deliver to enterprise customers, especially with the application of AI. For example, AI can eliminate many manual tasks such as generating documents from meeting with summaries and next steps, or updating CRM records after a discussion within the sales team.

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AI Requires a Reinvention of the Modern Data Center

by Beatriz Valle, posted in Big Data, Cloud Enable, Communicate
B. Valle

Summary Bullets:

• AI is drastically changing the fabric of the traditional data center, prompting fundamental changes in design and architecture.

• The biggest challenge is that AI infrastructure requires simultaneous scaling across multiple constrained layers: electricity, cooling, networking, chips, facilities, capital, and operations.

The rise of AI workloads is pushing data centers through a major architectural shift: from relatively general-purpose, virtualized compute environments toward high-density, network-intensive AI infrastructure. For example, rack density is rising sharply, because traditional data centers were not designed for the power and thermal profiles of dense AI server clusters. This means power distribution, floor loading, cable management, and thermal design are becoming central architectural considerations. Power availability has now become a core design constraint. Energy availability is starting to influence where data centers are built, with land and power constraints pushing some infrastructure development into new or remote regions.

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More Than Minutes: Strategic Partnerships Are Transforming International Voice

by Brendan Swan, posted in Communicate
B. Swan

Summary Bullets:

• e& and Globe Telecom demonstrate how strategic partnerships are transforming international voice through stronger service quality, fraud prevention, and expanding global reach.

• The future of international voice will be defined by user experience and security through strategic partnerships, not the lowest termination rates.

Over recent years, international voice has been viewed as a legacy service, highly commoditized with declining traffic volumes and shrinking revenues. Beneath the surface, however, the market is undergoing significant transformation. Rather than competing solely on the lowest possible termination rates, international carriers are forming strategic partnerships to improve service quality, extend global coverage, and strengthen network resilience to combat the threat of fraud. The recent announcement between e& and Philippine Globe Telecom reflects the shift, demonstrating how collaboration is becoming a key competitive differentiator in the next phase of international voice. As the wholesale communications market continues to evolve, could these partnerships become the defining factor that separates market leaders from the rest?

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Zoom Has Upped the Ante in Supporting Sales Teams

by Gregg Willsky, posted in Cloud Enable, Communicate
G. Willsky

Summary Bullets:

  • The Zoom Revenue Accelerator updates combined with the pending acquisition of the Common Room platform will provide Zoom with complete coverage of the sales cycle.
  • Providing support for the sales process represents a ‘new frontier’ that vendors are exploring and one that should ripen quickly.

Zoom announced general availability of three updates to its Zoom Revenue Accelerator (ZRA) feature, which helps sales teams close deals by analyzing customer interactions using AI. The updates consist of ‘Sales Roleplay,’ which provides practice simulations of customer conversations; ‘Sales Assist,’ which includes real-time deal guidance to keep reps focused as they engage the customer; and ‘Ask ZRA,’ which allows both reps and managers to perform natural language queries on conversation data post-discussion with the customer.

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8×8 AI Routing Takes a Sad Song and Makes It Better

by Gregg Willsky, posted in Big Data
G. Willsky

Summary Bullets:

• 8×8 AI Routing identifies the right expert anywhere in an organization that can resolve a customer’s inquiry, not just the contact center.

• While 8×8 AI Routing is marginally better than legacy systems it still merits a try out.

We’ve probably all found ourselves reciting this famous opening line to a classic song when trying to connect with someone in customer support: “Help! I need somebody. Help! Not just anybody. Help! You know I need someone. Help!”

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