Also Read: Palo Alto Networks to Expand Observability Platform

A consistent method underlies each implementation and the main aspects of goals and decision rights are aligned before actual development work commences in such a way that continuous change management and organizational development initiatives are incorporated from the very first day to secure a high level of team adoption. Contextualizing the strategic focus on driving sustainable financial returns through practical artificial intelligence implementation, Adam Morgan, CEO of Elevate Digital, stated: “Transformation should compound value, not recreate effort. We built this suite so every engagement starts smarter, moves faster, and leaves the client stronger. AI is not an add-on. We apply it where it creates real velocity, better decisions, and measurable hard-dollar ROI.” By combining reusable IP, hands-on support, and structured execution, Elevate Digital provides mid-market and enterprise clients with a scalable foundation for modern digital transformation.

Read More: Award-Winning Elevate Digital Launches AI-Enabled Proprietary Platform Suite Designed to Compound Transformation Value

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Also Read: NATO Awards Accenture Major Contract to Modernize Secure Digital Infrastructure

Such an extension of the product line is an outcome of the acquisition of Chronosphere in January 2026, which has helped Palo Alto Networks reach more than $300M ARR in Q3 FY26 while becoming a leader in the Gartner® Magic Quadrant for Observability Platforms for the third time in a row. Emphasizing the strategic impact of unified digital experience monitoring, Lee Klarich, Chief Product & Technology Officer of Palo Alto Networks, stated: “To truly understand how their applications are performing, organizations need to see the whole picture – from the moment a user taps or clicks to what exactly happens on the backend. By combining Palo Alto Networks’ leading Observability platform with Embrace’s innovative Real User Monitoring and the organically developed Synthetic Monitoring capabilities, we’ll deliver exactly that. And we’re taking it a step further – by linking these capabilities with Cortex AgentiX, organizations will be able to both see and automatically fix issues across their ecosystem. This is what true platformization looks like in practice.” Expected to close in the first quarter of fiscal 2027 subject to customary conditions, the acquisition solidifies Palo Alto Networks’ leadership in delivering cost-effective, platformized observability solutions.

Read More: Palo Alto Networks to Extend Leading Observability Platform with Innovative Digital Experience Monitoring

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Founded in 2003, Smartbridge helps organizations accelerate their digital transformation and modernize operations through digital innovation, AI, data and analytics, and application modernization services. The firm works with clients in the oil and gas, medtech, and restaurant industries, combining advisory and technology services to enable enterprise transformation and growth. Leveraging strategic relationships with leading technology providers, Smartbridge helps organizations connect data, improve decision-making, and accelerate business outcomes.

“Organizations today are looking to accelerate their digital and AI transformation and are searching for practical ways to translate innovation into measurable business value,” said Sri Raju, CEO of Smartbridge. “Our team focuses on helping clients modernize and build the capabilities they need to deliver exceptional experience to their customers and create financial growth for their shareholders. Through our collaboration with Andersen Consulting, we broaden and deepen our capabilities, enabling Smartbridge to deliver integrated end-to-end services for our clients, many of whom have global operations.”

Also Read: Spotfire Advances AI-Augmented Investigation and Analytics at Scale for Industrial Organizations

“Smartbridge has always been focused on helping clients solve complex operational challenges with practical, scalable solutions while driving the adoption that delivers measurable outcomes,” said Steve Senterfit, president of Smartbridge. “This collaboration deepens that ability and gives our clients access to broader capabilities as they scale.”

“Technology transformation is most effective when innovation, data, and execution are aligned,” said Mark L. Vorsatz, global chairman and CEO of Andersen. “Smartbridge brings a practical approach to helping organizations modernize critical functions, apply emerging technologies, and accelerate business performance.”

Source: BusinessWire

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The rollout addresses a critical enablement gap within corporate digital transformations. While nearly half of all global organizations struggle to provide comprehensive internal AI training, Wrike’s intuitive platform lowers the technical barrier entirely. The demand for scalable automation continues to hit record highs; enterprise adoption of Wrike AI has tripled year over year since June 2025, with users executing more than 5.5 million AI agent actions to slash process times by up to 93%.

“Over the last six months, we made a deliberate choice to solve the challenges that matter most to our customers, and the biggest one was this: powerful AI shouldn’t require an engineer to unlock and should be approachable for all users,” said Thomas Scott, CEO of Wrike. “We’re at an inflection point where every team, not just technical ones, expects to harness AI to move faster and work smarter. The Conversational AI Agent Builder is how we deliver on that promise, simply, securely, and at scale.”

Also Read: Xero Launches AI Industry Benchmarks for Small Businesses

Introducing Context-Aware Automation and Adaptive Logic

Wrike’s AI Agents—recently named a winner at the AI TechAwards—have evolved beyond static, if-then rule systems. The agents can now parse complex parent items, formula fields, and sibling tasks simultaneously, ensuring all autonomous actions remain fully grounded in absolute workspace memory.

To support advanced enterprise workflows, the core agentic engine introduces two major capabilities:

• Ordered, Contextual Action Chaining: Establishes predictable execution sequences where each step autonomously utilizes the data output generated by the preceding action.

• Smart Importance Prioritization: Evaluates active task content alongside existing project values to dynamically calculate and update urgency levels.

Backed by this deep structural understanding, Wrike AI Agents can automatically reorganize project folders, alter custom fields, route multi-tier approvals, and update external applications like Slack, Microsoft Teams, Gmail, and Outlook.

Expanding Ecosystem Connectivity and Enterprise Governance

To dissolve operational data silos, Wrike has drastically expanded its Model Context Protocol (MCP) server connections. These connections have grown 16-fold since January 2026, enabling autonomous agents to securely collaborate across independent third-party software tools both inside and outside the Wrike environment.

Simultaneously, the release introduces a suite of platform administrative controls to maintain strict data integrity. Workspace managers can leverage new AI usage dashboards to track budgets per user or per agent, deactivate obsolete workflows without data loss, and utilize Federated Space Configuration to share fields across distinct divisions without duplicating assets.

The Conversational AI Agent Builder and its accompanying architecture updates are live and accessible globally. Corporate operations leads, enterprise project managers, and digital transformation executives can explore integration blueprints, review governance structures, and evaluate workflow configurations by visiting Wrike‘s official digital platform.

The post Wrike Launches Conversational AI Agent Builder for Workflows appeared first on ITDigest.

However, mid-market companies defined as organizations capturing between $300 million and $3 billion in annual revenue—have collided with a significant operational barrier. While these midsize firms face the exact same competitive pressures, legacy system drags, and cybersecurity vulnerabilities as their larger counterparts, they are forced to innovate with a fraction of the budget, leaner technical teams, and much shorter timelines to achieve business results.

To bridge this definitive transformation gap, Accenture, through its newly launched Accenture Edge business unit, announced an expansive strategic partnership with Google Cloud.

The joint initiative delivers a suite of pre-built, right-sized agentic solutions specifically configured to help mid-market enterprises transition from slow AI experimentation to full operational execution in a matter of weeks. For the IT Services, Technology Consulting, and Cloud Integration industries, this milestone launch redefines a highly lucrative sector, shifting the mid-market narrative away from hollow software-buying loops and into rapid, platform-led workforce transformation.

Technical Performance: Pre-Configured Infrastructure for Immediate Execution

The core architectural objective behind the Accenture Edge and Google Cloud alliance is the elimination of heavy, custom-built software plumbing. Instead of requiring mid-market IT groups to manually integrate complex model layers into their active applications—a process that routinely causes multi-month project delays the collaboration ships pre-integrated, deployment-ready frameworks built directly on top of Google Cloud’s core AI infrastructure.

Supported on the ground by Accenture’s forward-deployed engineers (FDEs), the ecosystem rolls out targeted capabilities across six core business domains:

Customer Intelligence & Growth: Combines the Gemini Enterprise Agent Platform with Google’s Agentic Data Cloud to ingest disparate customer signals, allowing midmarket brands to automate highly personalized marketing tracks and extract continuous, one-on-one behavioral insights.

Customer Experience Transformation: Deploys Gemini Enterprise for Customer Experience natively into active B2B and B2C communication layers, cutting time-to-resolution and driving immediate uplifts in customer satisfaction scores.

Automated Data & Business Operations: Applies contextually aware digital workers to manage multi-step, data-heavy transactional pipelines, allowing organizations to streamline supply chains and automate administrative tasks.

Unified AI Threat Defense: Hardens the mid-market perimeter by embedding Google AI Threat Defense—which integrates specialized security models from Gemini, Mandiant, and Wiz to enable continuous end-to-end threat analysis and autonomous security remediation.

Transforming the IT Services and Systems Integration Market

The launch of a dedicated operating model explicitly tuned to package enterprise-grade agentic AI for the mid-market forces critical structural shifts across the broader technology consulting landscape.

Commoditizing Custom Software Plumber Margins
Historically, traditional systems integrators and smaller technology agencies generated highly predictable margins by manually stitching together separate database architectures, configuring API gateways, and custom-coding integrations for midsize businesses.

Because the Accenture Edge and Google Cloud framework relies on pre-configured, modular industry blueprints running natively on standard business platforms, these routine backend plumbing tasks are heavily commoditized. This shifts the competitive baseline for tech consultancies, forcing providers to move away from billing basic integration hours and focus entirely on high-level data governance, specialized organizational change management, and rapid time-to-value business outcomes.

Capturing the Massive $240 Billion Mid-Market Arena
The creation of Accenture Edge underscores a massive tactical realignment across the IT services industry. According to market data released during the business unit’s launch, the global mid-market technology services opportunity represents an estimated $240 billion total addressable market (TAM), expanding at a high single-digit compound annual growth rate.

As large-enterprise consulting sectors approach high maturity, dominant tech service giants are realigning their delivery structures to capture mid-market market share. Competing vendors can no longer simply try to squeeze down and retrofit rigid, expensive enterprise engagement playbooks for smaller clients; they must design highly repeatable, budget-aligned software platforms built for the unique economics and speed of mid-market operations.

Broad Operational Impact on Mid-Market Businesses

For mid-market enterprises looking to optimize tight operational margins while future-proofing their internal technology stacks, deploying a pre-integrated agentic AI framework yields distinct competitive advantages.

Eliminating the “Pilot Purgatory” Financial Sink
One of the biggest annoyances for mid-size executive boards is the high rate of failures in the initial stages of AI deployment projects. Middle-market businesses run through their scarce budget resources trying to implement PoCs that don’t get integrated into mainline processes due to issues with data silos or security concerns.

Getting access to pre-tested and proven agent blueprints for specific industries enables business managers to skip the costly experimental development stage, ensuring that the money invested in technology will not be wasted but generate tangible results instantly.

Creating a Level Playing Field Against Big Players
In the past, big conglomerate corporations had an unspoken monopoly on innovations because they could afford to buy premium-priced AI engineering specialists who built unique automation solutions from scratch. Mid-size companies used old-fashioned legacy apps and waited for new technologies to become available on the mass market.

By collapsing the barrier of access to enterprise-level AI, mid-market brands can play on the same grounds with the level of agility and intelligence. The business can easily expand its network operation capabilities using autonomous agents and adjust the distribution of their own resources depending on market situations.

The post Accenture Edge and Google Cloud Launch Agentic AI Solutions for the Mid-Market appeared first on ITDigest.

Also Read: AWS Optimizes Network Firewall Defaults to Eliminate Silent TCP Connection Drops 

This program institutes a standardized framework of engineering practices and secure cloud environments that dramatically reduces the delivery lifecycle of critical defense applications. Highlighting the scale and organizational accountability of this modernization effort, Mauro Macchi, CEO for EMEA at Accenture said: “NATO’s ambition to become a digitally enabled Alliance is one of the most consequential transformation programs of our time, and reinvention at this scale requires a trusted partner willing to take accountability for outcomes.” Backed by the North Atlantic Council, this milestone partnership fundamentally redefines NATO’s technological agility, enabling collective data sovereignty and rapid software deployments to maintain its operational edge amidst escalating geopolitical risks.

Read More: NATO Announces Major Contract with Accenture to Help Advance Towards a More Agile and Resilient Digital Infrastructure

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Dr. Rao’s appointment signals o9’s commitment to the breakthrough innovations it is pioneering to transform enterprise decision-making for the new normal of VUCA (Volatility, Uncertainty, Complexity and Ambiguity) in the age of AI. This 10x innovation is APEX – short for Agile, Adaptive, Autonomous Planning & Execution.

o9’s original breakthrough 10x innovation – the Digital Brain platform – was designed to optimize enterprise value by bridging functional, process and knowledge silos of enterprises and drive more agile planning and execution in response to market risks and opportunities. APEX builds on this innovation, recognizing that the next big 10x problem to solve is making change simpler, and transformations faster and more reliable in delivering value. To make this happen, the constraint is not just better planning and decision-making technology. The constraint is the traditional operating models themselves: Organization structures, processes, people skills, data all must be reimagined for the AI age.

APEX is powered by a scientific knowledge-powered method and model that understands the complexity of enterprise business models, and how enterprise planning, decision-making and execution work at scale in volatile and uncertain business environments to drive enterprise value. Powered by that knowledge, APEX has powerful “Adaptive” capabilities that are constantly learning and identifying where and why value leakages occur in enterprises of all types across industries, how to measure and diagnose the root causes, and systematically and continuously improve and transform every planning and execution process, organizational skill, and capability to maximize enterprise value. APEX also systematically helps processes become more “Autonomous” with Agentic AI, automating routine analysis and actions, and augmenting human capabilities in higher-value decision-making and actioning.

Also Read: BMC Joins SAP PartnerEdge Program, Strengthening Long-Standing Relationship

The goal of APEX is to make the transformation journey much more simpler, faster, and more continuous to ensure that every decision, every process, and every function of the organization is constantly improving, and focused on optimizing enterprise value.

Rao, who operates at the intersection of AI, deep domain expertise, and industry experience, has already made immeasurable contributions to the advancement of APEX since joining o9 in November 2025 as Executive Vice President, Next-Gen AI and Technology. His pioneering work in neuro-symbolic AI – combining the pattern recognition of neural networks with the structured, domain-specific intelligence of o9’s Enterprise Knowledge Graph – is the differentiated, proven technology powering the APEX model. Rao has been building a strong technology team with several top-tier architect appointments, driving fast innovation of next-generation AI capabilities throughout o9’s technology organization.

“Enterprise decision-making has never been more complex, or more volatile,” Rao said. “By combining the power of neuro-symbolic AI with deep industry and enterprise domain knowledge, APEX is systematically transforming how enterprises detect risks and opportunities, plan, decide, execute and learn at scale. This is the future of enterprise intelligence, and I am thrilled to step into the CTO role at such a pivotal moment for o9.”

Previously, Rao held executive positions at QXO, Target, Goldman Sachs and Morgan Stanley. He is currently an adjunct professor at Stanford University’s Institute for Computational and Mathematical Engineering, where he researches in the field of reinforcement learning and teaches graduate-level courses in AI.

“Ashwin is an outstanding technologist because he understands the constraints and opportunities for true business value generation,” said Chakri Gottemukkala, Executive Chairman, Co-Founder and CEO, o9 Solutions. “His conviction in neuro-symbolic AI, combined with an approach that connects vision to daily practical innovation and execution, will increase o9’s value creation potential and speed for our customers.”

Source: Businesswire

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For companies that deal with Life Sciences, Biotech, and Pharmaceuticals, this is a landmark event, since it implies moving away from treating AI as a drafting tool and making it an actively involved agent in the laboratory process.

Inside Claude Science

Claude Science provides a way of combining the fragmented parts of a scientist’s everyday work environment into a single user interface. Instead of switching among scripting platforms, data science notebook platforms, and various research databases, scientists can now coordinate their workflow through natural language.

The system incorporates a central coordinating agent that uses more than 60 pre-built skills and database connectors for genomics, proteomics, structural biology, and cheminformatics. The platform connects directly to publicly available models and frameworks, including Evo 2 and Boltz-2 from NVIDIA’s BioNeMo framework and key open resources such as UniProt, PDB, and ChEMBL.

Crucially, the platform emphasizes reproducibility and accuracy. Claude Science introduces a “reviewer agent” that automatically validates mathematical steps and cross-references citations to eliminate hallucinations. Furthermore, every output is tied to a complete audit trail, preserving the exact code, container environment, and messaging history used to generate a specific result or 3D protein structure.

Also Read: Lenovo Launches Hybrid AI Advantage to Slash Enterprise Inference Costs 

Disrupting the Biotech and Life Sciences Industry

The introduction of Claude Science will profoundly affect the operational models of biotech and pharmaceutical firms. Historically, computational biology teams have spent excessive time and resources on “toolchain integration” manually cleaning data schemas, configuring endpoints, and shifting massive genomic or molecular datasets across various silos.

By wrapping these technical steps inside an agentic, natural-language interface, Anthropic lowers the technical barrier to entry. Lab scientists who are not deeply trained in machine learning operations (MLOps) can now execute massive computational jobs, like screening libraries of millions of chemical compounds or designing a genome-wide CRISPR knockout screen, directly within a chat thread.

Furthermore, because Claude Science runs natively on a lab’s local infrastructure, SSH networks, or elastic high-performance computing (HPC) nodes via integrations like Modal, it directly addresses the strict data compliance and security regulations governing private genomic data and proprietary intellectual property.

Overall Business Effects on Industry Players

For businesses operating in the life sciences space, the deployment of platforms like Claude Science yields several strategic and financial advantages:

1. Drastically Reduced R&D Timelines: The earliest stages of drug discovery target identification and lead optimization traditionally take years and cost millions of dollars. By scaling multi-step analyses over hundreds of parallel containers in minutes, businesses can compress these timelines from months to days. Accelerated discovery means faster pathways to clinical trials and an expanded intellectual property portfolio.
2. Mitigation of the “Reproducibility Crisis”: Scientific errors and irreproducible data cost the pharma industry billions annually in abandoned or failed clinical drug pipelines. The automated audit logs and code-tracing mechanics built into Claude Science assure business stakeholders and regulatory bodies that data is verifiable from its inception. This auditability aligns perfectly with stricter data standards being requested by top-tier academic journals and regulatory authorities.
3. Savings on Operational Costs and Optimizing Talent: Rather than hiring huge teams to handle only data engineering and workflow integration, companies can realign their talent towards more productive work such as customizing models and analyzing data.
4. Levelling the Playing Field for Agile Biotech: Cloud-native, flexible compute platforms allow smaller startup biotechs to rent top-tier computational power on demand. A lean startup can now use Claude Science to orchestrate an advanced enzyme engineering workflow that previously required the massive, capital-intensive compute centers of legacy pharmaceutical conglomerates.

Looking Ahead

Anthropic’s push into the laboratory environment complemented by its concurrent launch of internal pre-clinical drug programs for neglected diseases shows that AI providers are moving aggressively into vertical-specific applications.

For life sciences and biotech businesses, adopting these specialized AI workbenches is no longer an experimental luxury; it is becoming a core competitive requirement. Companies that rapidly integrate agentic workbenches into their R&D loops will likely lead the next generation of medical breakthroughs, leaving siloed, manual workflows behind.

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In the current digital landscape, AI video generation has largely been confined to stitching together short, disconnected video clips. This fragmentation forces creators to jump between separate software tools to add consistent audio, match character movements, and handle visual transitions manually often disrupting the narrative pacing and storytelling flow.

Director solves this problem by moving away from raw prompting. Instead, it acts as an interactive creative partner that develops story structures, generates extended video sequences, and refines final renders based on simple plain-text directions.

“OpenArt not only helps professionals uplevel their work more seamlessly and bring their vision to life, but also opens the opportunity for everyday people to create quality videos,” said Coco Mao, CEO and co-founder of OpenArt. “Just as vibe coding changed the game for who can create software, we are making creativity and video creation more accessible through our vision for vibe directing.”

Also Read: Pega Launches Solution Designer Initiative for Enterprise AI

Breaking the 15-Second Barrier with Multi-Scene Consistency

The platform presents architectural innovations which enable a tremendous scale of creative video production from short and social media video loops to structured and multi-scene cinematic stories:

Extended five-minute generative duration: It beats the common 15-second production limits of old AI video engines and can produce five minutes of continuous and uninterrupted video – enough for short movies, songs, and commercials.

Persistent visual continuity: It regains AI video’s strongest problem of change of camera angle and different sets to keep the exact character likeness, structural product details, color grading, and specific brand assets.

Synchronized audio orchestration: On generating visuals of high fidelity, it also produces naturally voiceover tracks alongside custom voice uploads, situational music, and background sound effects within a single and unified render.

Granular timeline editing control: On top of a simple chat-guided interface, it also has advanced frame-by-frame timeline tracking that enables experienced filmmakers to precisely make manual changes of specific camera angles, cuts, and asset placements.

Democratizing Cinema Across Global Industries and Languages

To support large-scale commercial pipelines and global marketing divisions, the studio provides built-in brand awareness features. Creative groups can lock in enterprise brand assets such as corporate color palettes, typography rules, core product visuals, and distinct stylistic tone—and automatically enforce them across all narrative generations.

Furthermore, the engine features native multilingual processing out of the box. It supports fluent generation in English, Mandarin, Cantonese, Japanese, Korean, Spanish, French, German, and Portuguese, completely complete with phoneme-level lip-synchronization to ensure regional characters speak naturally across target markets. The company notes that all underlying models are trained exclusively on responsibly sourced datasets that prioritize the intellectual property rights of copyright holders.

The new Director environment is officially live and accessible to the public via OpenArt‘s web platform. Video editors, content creators, independent filmmakers, and brand marketing teams can review subscription models, study cinematic workflow tutorials, and begin generating visual projects by visiting OpenArt’s official digital workspace.

The post OpenArt Launches ‘Director’ for Conversation-Driven Long-Form AI Video Creation appeared first on ITDigest.

Control-M helps businesses using SAP solutions coordinate, monitor, and resolve issues across business processes running on S/4HANA, RISE with SAP, the SAP Business Technology Platform (SAP BTP), cloud platforms, and external applications. By providing centralized visibility and SLA management, Control-M helps reduce operational risk and complexity for customers modernizing their SAP environments.

Control-M provides unified orchestration and monitoring of business-critical workflows across SAP and third-party systems with a single platform. Customers can benefit from improved operational reliability, reduced manual effort, and simplified management of hybrid and multi‑cloud operations, ensuring business outcomes are delivered on time.

Also Read: Autodesk Signs Strategic Collaboration Agreement with Amazon Web Services 

Enterprise visibility into all workflows with Control-M 
As enterprises increasingly run workloads based on SAP solutions alongside cloud applications, data pipelines, and third-party systems, achieving full visibility and control becomes critical. Control‑M connects these environments, transforming disconnected jobs into reliable, end-to-end business processes.

Available in the SAP Store, Control‑M and Control-M SaaS make it easier for businesses using SAP solutions to discover, procure, and deploy enterprise‑grade workflow orchestration for SAP landscapes.

BMC has a long-standing relationship with SAP beyond its participation in the SAP^® PartnerEdge^® program, including SAP-certified integrations, joint customer engagements, and ongoing collaboration across SAP BTP and RISE with SAP environments.

“SAP is increasingly becoming a cornerstone within a much broader ecosystem that includes agents, multi-cloud services and hybrid environments,” said Brian Jones, Global VP Strategic Partnerships, BMC. “What sets Control-M apart is its ability to provide a universal orchestration layer that helps enable SAP customers to reliably run business processes across SAP and third-party environments, allowing them to maintain continuity and reduce disruption while protecting their SAP investments.”

Source: PRNewswire

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