TechSee, the pioneer in multi-modal AI for customer service, has appointed Elizabeth Tobey as Senior Vice President of Marketing. The move marks a pivotal moment for the company as it accelerates growth in the contact center and CX technology markets, led by its breakthrough visual agentic AI platform.

Tobey brings more than two decades of experience in AI, SaaS, and customer experience marketing, having previously served as Vice President of Marketing at NiCE. There, she spearheaded global marketing strategies that established NiCE as a recognized leader in CX AI—driving double-digit annual growth and strong analyst visibility.

A Storyteller with a Growth Mindset
“Elizabeth is a rare combination of visionary storyteller and results-driven growth leader,” said Eitan Cohen, CEO of TechSee. “She has built and scaled iconic brands across both B2B and B2C industries. As TechSee expands its reach, her deep understanding of the market and instinct for shaping resonant narratives will be critical in accelerating our momentum.”

Known for bridging strategic insight with creative storytelling, Tobey’s appointment underscores TechSee’s intent to strengthen its market position as it scales operations globally.

AI That Sees What Others Can’t
The announcement follows the launch of Connectivity Guru 3.1, TechSee’s latest innovation designed to help contact center agents “see the invisible.” The solution uses real-time visual guidance to diagnose and resolve wireless connectivity issues—a step forward in the company’s broader Sophi Assist vision.

This multi-modal AI approach blends visual, verbal, and contextual intelligence, enabling support agents to resolve complex issues that traditional AI copilots often miss. It’s an evolution from reactive support to proactive, intelligent service delivery—where AI doesn’t replace agents but enhances their expertise.

Why Tobey Joined TechSee
Tobey’s decision to join was fueled by her conviction in TechSee’s unique technology.

“I’ve spent years in customer experience and always saw something missing, until I found TechSee,” said Elizabeth Tobey, the newly appointed SVP of Marketing. “In a world saturated with AI hype, TechSee’s technology delivers real, measurable impact. It doesn’t just deflect simple calls—it solves problems that other copilots can’t because they lack one of the most essential senses: vision.”

Her goal is to elevate TechSee’s story and amplify its message to enterprises seeking real-world, transformative AI solutions that combine empathy, intelligence, and efficiency.

A Proven Record of Scaling Global Brands
Before joining TechSee, Tobey held senior roles at NiCE, Altium, and Medium, leading high-performing global teams and orchestrating campaigns that redefined market positioning. At NiCE, her leadership fueled 40% year-over-year growth in AI product revenue, with AI features becoming part of every enterprise deal exceeding $1 million.

Redefining AI in Customer Service
With Tobey steering the marketing function, TechSee is poised to challenge how enterprises perceive AI in customer service. By advancing a multi-modal AI strategy across contact centers, field service, and self-service environments, the company aims to set a new standard for how humans and machines collaborate.

As organizations race to integrate AI into every customer touchpoint, TechSee’s approach—rooted in vision intelligence and real-time problem-solving—could become a benchmark for AI that works beyond words.

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Jasper, the world’s leading AI content automation platform, has introduced Jasper Grid, a sheet-like intelligent interface designed to help marketing teams scale content creation seamlessly across channels, audiences, and regions.

As customer expectations rise and search algorithms evolve, the demand for personalized, high-quality content has exploded. A recent Adobe study reports that marketers expect content demand to grow more than fivefold by 2027—an escalation that’s pushing traditional marketing operations to their limits.

While chat-based AI tools like ChatGPT have transformed one-off asset generation, Jasper Grid aims to solve a deeper problem: building structured, repeatable, AI-driven content systems that scale enterprise-wide.

From Chaos to Coordination: The Birth of Jasper Grid
Jasper Grid is part of a broader ecosystem that includes Jasper IQ and Jasper Studio, collectively powering Content Pipelines—a no-code system that turns AI from a tactical assistant into a strategic growth engine.

Instead of managing fragmented workflows and disconnected tools, teams can now automate the journey from idea to published campaign. Content Pipelines integrate briefs, brand guidelines, and performance data into structured workflows that allow AI agents to plan, produce, and optimize content collaboratively.

“Marketers today don’t have a content problem; they have a scale problem,” said Timothy Young, CEO of Jasper. “Content Pipelines, powered by the new Jasper Grid, bring the structure and intelligence needed not only to deliver more content but to deliver better content, at scale. This new system helps teams turn content production into a true growth engine instead of an operational hurdle.”

AI-Native Infrastructure for the Modern Marketer
Jasper’s latest release introduces what it calls the first AI-native marketing infrastructure—designed specifically to scale content operations across every channel and geography. With Jasper Grid, marketing teams gain both structure and agility to meet growing business needs.

Here’s how different marketers can leverage it:

• ABM Marketers: Achieve 1:1 personalization automatically, delivering tailored content for accounts and segments without manual customization.

• Retail Marketers: Streamline product content workflows, producing accurate and brand-aligned descriptions and visuals faster.

• Product Marketers: Manage global launches from a centralized dashboard, ensuring consistency and regional relevance simultaneously.

• Content Marketers: Scale SEO, GEO, and AEO initiatives while automating optimization for evergreen performance.

By combining structure, intelligence, and automation, Jasper Grid gives organizations the governance and scalability needed to transform how content is created and deployed.

Beyond Chat: Turning AI into a True Content Engine
Jasper’s new release reflects a broader shift in marketing technology: moving from reactive, chat-based AI tools to autonomous, workflow-driven systems that support end-to-end content operations.

This evolution comes on the heels of recent Jasper innovations, including integrations with Salesforce and Braze, and the rollout of Jasper MCP Server—all reinforcing the company’s mission to elevate all marketing and all marketers.

In an era where brands are judged by the speed, relevance, and quality of their storytelling, Jasper Grid could become the foundation for AI-first marketing operations—where creativity and efficiency finally scale together.

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Thryv® Holdings, Inc. (NASDAQ: THRY), the company behind one of the most popular small business marketing and sales software platforms, has launched a new AI-powered growth marketing solution tailored for home services businesses.

Built for contractors, HVAC specialists, landscapers, and other service pros, the platform automates marketing workflows, helping businesses reach high-intent prospects, convert leads faster, and drive repeat sales—all without hiring an agency or managing complex campaigns manually.

“We work with over 15,000 home services businesses, and most believe that scaling is the best way to fight rising operational costs,” said Rees Johnson, Chief Product Officer at Thryv. “With our prebuilt automations, they can skip writing content or testing timing. While they’re out on jobs, our system is already generating leads, scheduling estimates, and sending branded service reminders. It’s seamless.”

The Thryv 3-Step Growth Framework

Thryv’s latest release is built on a proprietary three-step framework designed to simplify marketing and accelerate growth for home services businesses.

1. Get Found Online – Boosts visibility across Google Search, AI-driven platforms, and top directories, improving local SEO and brand credibility.

2. Capture and Convert Leads – Uses Thryv’s integrated CRM and automation tools to capture new customers and automate follow-up for free estimates and appointments.

3. Drive Repeat Business – Keeps the pipeline active with automated review management, AI-generated responses, and seasonal email and text campaigns.

Together, these steps create an always-on marketing engine that nurtures customer relationships year-round—especially during slower shoulder seasons.

Key Features Powering the Platform

Enhanced Local Listings: Automatically updates business information across more than 50 directories to improve local search visibility on Google™ and ChatGPT.

AI Review Response: Generates brand-consistent replies to online reviews, strengthening trust and reputation management.

Automated Follow-Up: Sends personalized follow-ups to prospects and customers within seconds, keeping engagement continuous.

AI Content Generator: Creates and schedules professional-grade campaigns, from seasonal promotions to maintenance reminders, all aligned with brand tone and timing.

Integrations with Industry Tools: Seamlessly connects with platforms like ServiceTitan and Jobber, enabling synchronization with tools businesses already rely on.

Real Results from Small Business Users

For businesses already using the platform, the results speak for themselves.

“Since using Thryv, our online visibility has seen a noticeable boost,” said Tanner McGee, Co-owner and CFO of Harco Fence + Deck. “We now show up more consistently across Google, social media, and directory listings. The built-in reputation tools make it easy to collect and showcase reviews, helping us build trust with new prospects.”

Redefining Small Business Growth with AI

Thryv’s new solution reflects a broader shift in how AI is transforming small business marketing—from a manual, reactive effort into a proactive, automated growth engine.

By merging AI intelligence with local marketing strategy, Thryv is giving small business owners the tools to compete at enterprise scale without enterprise budgets. It’s not just about more marketing—it’s about smarter, self-sustaining marketing that works while business owners work.

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Automation Anywhere has announced its acquisition of Aisera, a leading provider of agentic AI solutions for autonomous IT. The deal combines Automation Anywhere’s Agentic Process Automation (APA) technology with Aisera’s self-service AI agents for IT, HR, and customer service—creating what the company calls the industry’s most comprehensive agentic automation portfolio.

The move underscores Automation Anywhere’s push toward the Autonomous Enterprise vision—a model where up to 80% of business processes are fully automated or AI-assisted. Together, the companies aim to help enterprises cut costs, speed up workflows, and elevate employee and customer experiences.

“We are in a unique position to help customers adopt agentic AI faster while reducing their ITSM costs,” said Mihir Shukla, CEO and Co-founder of Automation Anywhere. “With AI agents doing the work, up to 40% fewer ITSM seats are needed.”

Aisera’s CEO, Abhi Maheshwari, described the merger as “a defining moment” for enterprise AI. “Together with Automation Anywhere, we will continue to redefine how enterprises operate and deliver exponential value worldwide,” he said.

The acquisition is also backed by investors like Menlo Ventures, whose partner Venky Ganesan called the merger “a powerful force for autonomous enterprise transformation.”

What the Combined Stack Offers

The integration of the two companies brings together:

• Conversational AI Agents for ITSM, HR, and customer experience

• Agentic Process Automation (APA) that enables AI to take action, not just respond

• Process Reasoning Engine (PRE) trained on 400 million automations for higher accuracy

• Mozart Orchestrator for cross-platform workflow orchestration

• Enterprise-grade security and governance, with open infrastructure options

Aisera’s team of 100+ AI engineers will join Automation Anywhere to drive the next generation of multi-sector agentic AI solutions.

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As marketing shifts from static search to AI-driven discovery, Sitecore has unveiled SitecoreAI, a groundbreaking digital experience platform designed to redefine how brands engage with audiences. This next-generation platform places artificial intelligence at the core of marketing strategy — enabling personalized, dynamic, and contextually aware experiences that evolve in real-time.

The AI Heart of Modern Marketing

Built on the foundation of Sitecore XM Cloud, SitecoreAI unifies content, data, and personalization into a single, composable SaaS platform. The goal is simple yet transformative: empower marketers to launch campaigns faster, spend smarter, and continuously optimize performance through AI-driven workflows.

At the center of SitecoreAI lies the Agentic Studio — an intelligent workspace where humans and AI collaborate to plan, create, and personalize digital experiences. The studio launches with 20 AI-powered agents that automate complex workflows, from campaign planning to testing and migration. Marketers can also design custom agents and processes using intuitive, code-free visual tools.

Agentic Flows and Spaces: Collaboration Reimagined

Within the Agentic Studio, Agentic Flows orchestrate multi-step, personalized campaigns with complete visibility — aligning teams across campaign planning, experimentation, and optimization. The Spaces feature fosters real-time collaboration between human marketers and AI, transforming once-disconnected tools into a unified, intelligent ecosystem that improves continuously through feedback and insights.

Early Adopters Leading the Way

Several leading global brands are already harnessing SitecoreAI to accelerate growth and streamline operations.

• Berkeley Homes and AFL leverage Contextually Aware Content Agents to generate hyper-targeted content tailored to specific audience segments.

• Regal Rexnord and Hexagon rely on Migration Tooling Agents to automate content and schema conversion, drastically reducing project timelines from months to weeks.

According to Eric Stine, CEO at Sitecore, “Discovery is no longer driven by search; it’s powered by attention. Brands win when they deliver the right message at the right moment — and SitecoreAI gives marketers the intelligence to do exactly that.”

Seamless Integration and Proven ROI

Running on Microsoft Azure, SitecoreAI is the natural evolution of XM Cloud — merging content management, customer data, personalization, and search into one secure and scalable platform. For existing XM Cloud customers, the transition requires no migration, ensuring seamless access to all AI capabilities, including the Agentic Studio.

A Total Economic Impact™ study commissioned by Sitecore revealed that XM Cloud users achieved a 371% ROI and 50% higher digital conversions, driven by faster content delivery and AI-powered personalization. SitecoreAI builds on these results, extending them into a fully unified platform for the AI-first era.

Real-World Impact Across Industries

Tim Dickson, Chief Digital and Information Officer at Regal Rexnord, emphasized how SitecoreAI helps unify multiple brands under one digital ecosystem: “SitecoreAI allows us to deliver consistent, personalized communication to customers worldwide — scaling our digital experience with intelligence.”

Similarly, Mary Ellen Grom, Executive Director of Global Marketing and Corporate Communications at AFL, highlighted the platform’s efficiency: “SitecoreAI empowers our teams to produce content faster and smarter. By integrating our digital standards with AI-driven insights, we can deliver personalized, customer-centric experiences that truly engage.”

Trust, Governance, and the Future of AI Marketing

Built within Sitecore’s governed AI framework, SitecoreAI prioritizes security, transparency, and compliance with emerging enterprise and regulatory standards. This foundation ensures that marketers can confidently embrace AI without compromising ethical or operational integrity.

With SitecoreAI now available globally, marketers can launch campaigns in days, personalize content at scale, and maximize every marketing asset — transforming data-driven ambition into measurable results.

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As enterprises race to deploy artificial intelligence at scale, Oasis Security has introduced a groundbreaking governance model designed to keep pace with the machine-to-machine future. The company today launched its Agentic Access Management (AAM) Framework, a first-of-its-kind identity security model built specifically for the “Agentic Access” era — where AI agents and non-human identities (NHIs) now operate as digital employees within enterprise systems.

A New Era of Identity Governance

Developed in collaboration with Sequoia Capital and a network of leading CISOs, the AAM Framework provides clear, actionable guidance for managing AI-driven access across enterprise environments. Unlike traditional identity frameworks focused on human users, AAM addresses governance for the rapidly expanding layer of AI agents — offering a practitioner-built, vendor-neutral structure that can be implemented immediately.

“AI-agent adoption is rising exponentially,” said Danny Brickman, CEO and Co-founder of Oasis Security. “Our Fortune 500 customer data shows an 840× increase in AI agent use year-over-year, with Copilot agent creation up 1,767%. At this pace, AI agents will outnumber employees by the end of 2025. The AAM Framework was born from that urgency — it gives security teams the structure to manage this explosion responsibly.”

AI Growth Without Guardrails

Recent studies reveal a critical gap between AI innovation and governance:

• 83% of enterprise data entering AI tools goes to platforms labeled critical or high risk, with 34.8% of that data classified as sensitive.

• Organizations without formal AI strategies have only a 37% success rate in adoption versus 80% for those with clear governance.

• Despite a 14% annual increase in AI spending, just 30% of tech-forward enterprises have achieved full-scale deployment.

These figures underscore the need for structured, identity-first AI governance — a challenge Oasis Security aims to solve with AAM.

Built for Practitioners, Not Just Policy

The AAM Framework offers a practical, identity-first approach to AI security. It focuses on the machine-to-machine access layer, where most AI-related security risks are projected to emerge. By defining controls around access, credentials, and identity lifecycle management for AI agents, it helps enterprises establish trust, accountability, and visibility across thousands of autonomous systems.

“Agentic AI represents one of the most profound shifts since cloud computing,” said Caleb Tennis, CISO at Sequoia Capital. “Oasis is enabling enterprises to get ahead of that shift — not just adopting AI faster, but governing it responsibly. The AAM Framework brings vital structure to a rapidly evolving space.”

From Shadow AI to Secure Autonomy

As organizations move from AI experimentation to enterprise-scale deployment, many face credential sprawl, shadow AI, and compliance blind spots. The AAM Framework provides tools and governance maturity models that help companies secure agentic access before these issues spiral out of control.

“The Maturity Assessment tool has been instrumental in pinpointing where to strengthen our program and how to engage leadership on next steps,” said Todd Dufour, SVP of Identity and Access Management. “It aligns perfectly with our goal of adopting AI responsibly and building long-term resilience.”

Coalition-Ready for the Future of AI Security

To accelerate adoption, Oasis Security has also launched an AAM Maturity Assessment — allowing organizations to benchmark current practices, identify governance gaps, and prioritize remediation. The framework is coalition-ready, designed for endorsement by CISOs, security associations, and vendors seeking to establish a shared foundation for secure AI adoption.

With the Agentic Access Management Framework, Oasis Security is positioning itself as a pioneer in the emerging discipline of AI identity governance — offering enterprises the tools they need to balance AI innovation with accountability in a rapidly evolving digital landscape.

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In a move set to redefine enterprise data management, Snowflake (NYSE: SNOW) and SAP SE have announced a strategic collaboration that merges the Snowflake AI Data Cloud with SAP Business Data Cloud (BDC). The partnership aims to help enterprises connect mission-critical business data with AI-powered innovation—without duplication, friction, or governance gaps.

The centerpiece of this collaboration is the SAP Snowflake solution extension for SAP Business Data Cloud, which will make Snowflake’s unified data and AI platform directly available to SAP BDC customers. This new offering brings together SAP’s semantic business data models and Snowflake’s AI and machine learning capabilities, creating a shared foundation for data-driven transformation across industries.

A Unified, Zero-Copy Data Fabric

At the heart of the collaboration lies zero-copy data sharing—a breakthrough that allows SAP and Snowflake customers to work with data seamlessly across both ecosystems. Enterprises can now access, analyze, and share semantically rich SAP data in Snowflake without duplication, ensuring full governance, real-time performance, and reduced total cost of ownership.

“By tightly integrating SAP and Snowflake, we’re making it simple for enterprises to connect their critical business data with the power of seamless AI app and data agent development at scale,” said Christian Kleinerman, EVP of Product at Snowflake. “This zero-copy model enables faster innovation, more secure collaboration, and unified AI development across enterprise systems.”

Bringing Openness and Choice to the Data Cloud

The SAP Snowflake solution extension embeds Snowflake into the open data ecosystem of SAP BDC, expanding its Business Data Fabric with modern AI, analytics, and collaboration features. The result is an AI-ready data foundation that harmonizes SAP and non-SAP data, empowering organizations to build context-rich AI models and applications that are grounded in trusted business data.

According to Irfan Khan, President and Chief Product Officer for SAP Data and Analytics, “Bringing Snowflake to SAP Business Data Cloud empowers customers with openness and choice. Together, we combine SAP’s decades of leadership in business applications with Snowflake’s modern data platform to deliver a unified, enterprise-ready experience.”

What Enterprises Can Expect

With SAP Snowflake, organizations gain access to a powerful suite of capabilities:

• Unified Data Fabric: Combine SAP and non-SAP data in real time for analytics, AI, and machine learning workflows—all within a governed, zero-copy environment.

• AI Acceleration: Use semantically rich data to train AI models and build intelligent agents with stronger context and accuracy.

• Faster App Development: Build and deploy intelligent business applications grounded in mission-critical data for faster time-to-market and innovation scalability.

• SAP BDC Connect for Snowflake: A bidirectional integration that allows existing Snowflake users to access SAP data instantly—without replication or latency.

Industry Adoption: AstraZeneca Leads the Way

Early adopters like AstraZeneca are already realizing the potential of this partnership. “Data and AI are central to achieving our mission,” said Russell Smith, Vice President of ERP Transformation Technology at AstraZeneca. “Our collaboration with SAP and Snowflake enhances our ability to access and analyze real-time data. Every minute matters when developing life-changing medicines, and this partnership helps accelerate that mission.”

A Step Toward the AI-Driven Enterprise

By combining SAP’s deep domain expertise with Snowflake’s scalable AI data platform, the two companies are reshaping how enterprises leverage data. The integration offers a future-proof architecture for intelligent applications—one that’s flexible, governed, and built for the generative AI era.

For enterprises navigating the intersection of data, analytics, and AI, the SAP-Snowflake partnership marks a significant milestone—one that transforms siloed business data into a unified engine for innovation.

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Gcore has unveiled Everywhere AI, a new high-performance platform designed to simplify how enterprises, cloud providers, and telcos deploy and scale AI workloads across any environment—on-premises, hybrid, or cloud. The platform enables model training and inference deployment in just three clicks through a unified interface, promising improved performance, efficiency, and scalability.

Built for regulated and performance-critical industries like healthcare and finance, Everywhere AI offers auto-scaling, GPU health checks, CDN integration for real-time inference, and compliance management through Gcore Smart Routing. The system also supports air-gapped deployments, giving organizations full control over data locality and security.

“Enterprises today need AI that simply works,” said Seva Vayner, Product Director, Edge Cloud and AI at Gcore. “With Everywhere AI, we’ve taken the complexity out of AI deployment, giving customers an easier, faster way to run high-performance AI while improving ROI and compliance.”

The platform has been validated on HPE ProLiant Compute servers and is available through HPE GreenLake, enabling enterprises to consume GPU resources flexibly via CAPEX or OPEX models. HPE’s Vijay Patel noted that the partnership helps organizations achieve “ultra-low latency, simplified provisioning, and efficient GPU utilization,” allowing AI teams to focus on results rather than infrastructure.

By unifying AI training and inference under one intuitive platform, Gcore aims to eliminate the bottlenecks that often stall enterprise AI initiatives and make enterprise-grade AI accessible to a wider range of industries.

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