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Time Business News
5 days ago
- Time Business News
Unlock Your IT Future with CompTIA 220-1102 Exam Dumps from DumpsCafe
Aspiring IT professionals who want to confirm their understanding of operating systems, security, software debugging, and operational processes must pass the CompTIA 220-11102 Certification Exam. This test, which is a component of the CompTIA A+ certification path, verifies that you are competent in handling practical IT activities in addition to your theoretical knowledge. CompTIA certificates are recognized by employers worldwide, therefore it's critical to prepare well. This is where DumpsCafe's CompTIA 220-11102 Exam Dumps come in handy for accelerating your exam preparation. Students can acquire 220-1102 PDF + Testing Engine packages at DumpsCafe, which are intended to improve their study sessions. Regardless of your preferred method of learning—visual, self-paced, or hands-on—these tools accommodate a wide range of learning styles. The 220-1102 Testing Engine helps candidates learn time management skills and overcome exam anxiety by simulating the actual exam atmosphere. It becomes easy to move from theory to taking tests with confidence. CompTIA 220-1102 Dumps are thorough learning resources rather than just questions. In addition to study guides and comprehensive 220-1102 PDF resources covering all exam topics, you also receive a practice test with 220-1102 questions and answers. These 220-11102 study guides are updated frequently to take into account the most recent exam format, guaranteeing that your preparation is accurate and up to date. DumpsCafe guarantees success for all kinds of learners in this way. The days of leafing through old volumes are long gone. You can study more effectively by using the Courses and Certificates 220-11102 sample test questions. These materials are designed to help you concentrate on the important task of learning the questions you'll probably encounter on test day. The format and level of difficulty of the 220-11102 practice tests are identical to those of the actual exam. Long before the test day, they assist you pinpoint your weak areas and strengthen your retention of the material. Your study approach will be more efficient and clear whether you use the dynamic 220-1102 Testing Engine or the 220-1102 PDF Questions. While the testing engine prepares you with real-time scoring and feedback, the CompTIA 220-1102 Courses and Certificates PDF Questions are perfect for learners who are constantly on the go. When combined, these resources provide a potent defense against the CompTIA 220-1102 Courses and Certificates Exam Questions Answers PDF's intricacy. It doesn't have to be a scary experience to pass the CompTIA 220-1102 Courses and Certificates Practice Questions and Answers. You may easily navigate complicated subjects like Windows operating systems, software troubleshooting, and best security practices if you have the correct resources, such as 220-1102 braindumps and study guides. The simplified 220-1102 study materials from DumpsCafe will let you spend more time learning and less time speculating. DumpsCafe's 220-1102 Questions and Answers are the reason for the success of thousands of IT professionals. These materials offer guidance, clarity, and success regardless of your degree of experience with technology. Testimonials from users frequently emphasize how the 220-11102 practice questions and answers enabled them to pass the test on their first try, frequently with remarkable results. Without compromising on quality, the 220-1102 PDF + Testing Engine packages are reasonably priced. With DumpsCafe, you may study from any location at any time using a laptop, tablet, or smartphone. Purchasing is an affordable way to invest in a more promising and secure IT future. Use the CompTIA 220-1102 Courses and Certificates Practice Questions and Answers to conduct last-minute reviews as the test day draws closer. These resources offer the final boost required to feel assured and ready. Additionally, keep in mind that every DumpsCafe download includes complete support and frequent updates, guaranteeing a successful completion of the 220-1102 Certification Exam. Q1: Are the 220-1102 Exam Dumps from DumpsCafe updated regularly? Yes, DumpsCafe updates its CompTIA 220-1102 Dumps frequently to reflect the latest exam patterns and content. Q2: What's included in the 220-1102 PDF + Testing Engine? You get complete 220-1102 exam questions & answers, a full-featured simulation engine, and downloadable PDF guides. Q3: Can I access the dumps on my mobile device? Absolutely! The 220-1102 PDF and online versions are compatible with tablets and smartphones for on-the-go study. Q4: Are these dumps suitable for beginners? Yes, whether you're a novice or experienced professional, DumpsCafe's 220-1102 study guides cater to all levels. Q5: What is the pass rate with DumpsCafe resources? Most users report a pass rate above 90% using CompTIA 220-1102 Courses and Certificates Exam Questions Answers PDF. TIME BUSINESS NEWS
Channel Post MEA
24-06-2025
- Business
- Channel Post MEA
Salesforce Launches Agentforce 3
Salesforce has announced Agentforce 3: a major upgrade to its digital labor platform that gives companies the visibility and control to scale AI agents without compromise. As enterprise adoption accelerates, the real blocker has become clear: teams can't see what agents are doing — or evolve them fast enough. Agentforce 3 changes that. Built on learnings from thousands of Agentforce deployments since its initial launch in October 2024, Agentforce has helped customers deliver undeniable value. This includes reducing Engine's average customer case handle time by 15%, autonomously resolving 70% of 1-800Accountant's administrative chat engagements during critical tax weeks in 2025, and increasing Grupo Globo's subscriber retention by 22%. Agentforce 3 equips leaders to monitor, improve, and scale their AI workforce with confidence. With a new Command Center for complete observability, built-in support for Model Context Protocol (MCP) for plug-and-play interoperability, and over 100 new prebuilt industry actions to speed time to value, Agentforce 3 helps companies scale what works, fix what doesn't, and unlock the full potential of agentic AI — with clarity, control, and speed. Why it Matters: AI agent adoption is surging. According to a soon-to-be-released Slack Workflow Index, AI agent usage is up 233% in six months, and over that same period, 8,000 customers have signed up to deploy Agentforce. But until now, agent platforms have lacked the tooling, governance, and observability needed to scale enterprise-wide. Agentforce 3 closes this gap — delivering the complete visibility, secure tool integration, and enterprise-grade controls organizations need to make agent velocity their competitive advantage. 'With Agentforce, we've unified agents, data, apps, and metadata to create a digital labor platform, helping thousands of companies realize the promise of agentic AI today,' said Adam Evans, EVP & GM of Salesforce AI. 'Over the past several months, we've listened deeply to our customers and continued our rapid pace of technology innovation. The result is Agentforce 3, a major leap forward for our platform that brings greater intelligence, higher performance, and more trust and accountability to every Agentforce deployment. Agentforce 3 will redefine how humans and AI agents work together — driving breakthrough levels of productivity, efficiency, and business transformation.' Agentforce Command Center — Monitor, Measure, and Optimize Your AI Agents: As AI agents take on routine tasks and begin collaborating more closely with human teammates, teams need a new observability layer built for the era of digital labor. Agentforce Command Center is that layer: a complete observability solution that gives leaders a unified pane of glass to monitor agent health, measure performance, and optimize outcomes. Built into Agentforce Studio, it completes the agent lifecycle with powerful tools to understand and refine agents at scale. Uncover patterns across interactions to optimize your agents: Command Center empowers teams to analyze every AI agent interaction, drill into specific moments, understand trends in usage, and see AI-powered recommendations for tagged conversation types to continuously improve your Agentforce. Command Center empowers teams to analyze every AI agent interaction, drill into specific moments, understand trends in usage, and see AI-powered recommendations for tagged conversation types to continuously improve your Agentforce. Track agent health and intervene in real time: Get live, detailed analytics for latency, escalation frequency, and error rates, plus real-time alerts when the unexpected happens, so teams can act fast and keep agents running smoothly. Get live, detailed analytics for latency, escalation frequency, and error rates, plus real-time alerts when the unexpected happens, so teams can act fast and keep agents running smoothly. Understand what's working, and where to improve: Command Center offers detailed dashboards that track agent adoption, feedback, success rates, cost, and topic performance — so teams can see what's gaining traction and where to improve. Command Center offers detailed dashboards that track agent adoption, feedback, success rates, cost, and topic performance — so teams can see what's gaining traction and where to improve. See what your agents are doing — in the tools your teams already use: Agentforce captures all agent activity in a native, extensible session-tracing data model in Data Cloud — powering analytics, monitoring, and real-time alerting. Built on the OpenTelemetry standard, these agent signals integrate seamlessly with tools your teams already use, including Datadog, Splunk, Wayfound, and other monitoring partners for end-to-end visibility across your existing stack. Agentforce captures all agent activity in a native, extensible session-tracing data model in Data Cloud — powering analytics, monitoring, and real-time alerting. Built on the OpenTelemetry standard, these agent signals integrate seamlessly with tools your teams already use, including Datadog, Splunk, Wayfound, and other monitoring partners for end-to-end visibility across your existing stack. Deliver a configurable Command Center for every team: Monitor AI agents alongside human teammates — right in the flow of work. Starting with Service Cloud, agent activity will surface in real-time wallboards so contact center supervisors can track performance and escalate fast. And over time, every department will have a Command Center purpose-built for optimizing their agents. Monitor AI agents alongside human teammates — right in the flow of work. Starting with Service Cloud, agent activity will surface in real-time wallboards so contact center supervisors can track performance and escalate fast. And over time, every department will have a Command Center purpose-built for optimizing their agents. Build and test agents fast with AI-assisted development tools: In Agentforce Studio, use natural language to generate topics, instructions, and test cases. Testing Center simulates behavior at scale with state injection and AI-driven evals — so you can pressure-test your agents before going live. 'Agentforce autonomously resolved 70% of 1-800Accountant's administrative chat engagements during the peak this past tax season, an incredible lift during one of our busiest periods. But that early success was just the beginning. We've established a strong deployment foundation and weekly are focused on launching new agentic experiences and AI automations through Agentforce's newest capabilities. With a high level of observability, we can see what's working, optimize in real time, and scale support with confidence,' said Ryan Teeples, Chief Technology Officer at 1-800Accountant. Enabling Secure Enterprise Connectivity with MCP and A2A Support: AI agents can't drive impact if they can't take action using the tools your business relies on. As open standards like Model Context Protocol (MCP) gain traction, they bring new opportunities for interoperability, but also challenges around governance, identity, and control. Agentforce 3 solves this by pairing open connectivity with enterprise-grade trust — giving agents native access to the tools they need, without compromising on control. MCP support built natively into Agentforce: Agentforce will include a native MCP client, enabling Agentforce agents to connect to any MCP-compliant server — no custom code required. Like a 'USB-C for AI,' this enables access to enterprise tools, prompts, and resources — governed by your existing security policies. Agentforce will include a native MCP client, enabling Agentforce agents to connect to any MCP-compliant server — no custom code required. Like a 'USB-C for AI,' this enables access to enterprise tools, prompts, and resources — governed by your existing security policies. Turn APIs into MCP servers instantly with MuleSoft: Leveraging new MCP connectors, MuleSoft converts any API and integration into an agent-ready asset, complete with security policies, activity tracing, and traffic controls — empowering teams to orchestrate and govern multi-agent workflows. Leveraging new MCP connectors, MuleSoft converts any API and integration into an agent-ready asset, complete with security policies, activity tracing, and traffic controls — empowering teams to orchestrate and govern multi-agent workflows. Easily host and manage custom MCP servers with Heroku: Heroku Managed Inference and AppLink make it fast and easy to deploy, register, maintain, and connect your custom MCP servers. With Heroku's secure infrastructure and DevOps automation, developers can bring trusted custom actions to Agentforce with less friction. 'Salesforce's open ecosystem approach, especially through its native support for open standards like MCP, will be instrumental in helping us scale our use of AI agents with full confidence. We'll be able to securely connect agents to the enterprise systems we rely on without custom code or compromising governance. That level of interoperability has given us the flexibility to accelerate adoption while staying in complete control of how agents operate within our environment,' said Mollie Bodensteiner, SVP of Operations at Engine. Expanding the AgentExchange — a Leading AI Agent Ecosystem — to Make Agent-First Tools Easy to Discover and Use: As organizations embed AI agents across their teams, AgentExchange already makes it easy to equip them with the trusted tools they need to drive value fast with partner-built agent actions and templates. Now, customers will be able to discover MCP servers from 30+ partners that provide trusted access to new third-party tools and resources and seamlessly connect them to Agentforce through a secure AI agent gateway. Launch MCP partners include AWS, Box, Cisco, Google Cloud, IBM, Notion, PayPal, Stripe, Teradata, WRITER, and more. Customers will be able to leverage MCP Servers through AgentExchange from leading partners, including: AWS: Agentforce will enable agents to unlock critical insights from vast repositories of unstructured data stored on AWS, leveraging a suite of MCP servers such as the Amazon Bedrock Data Automation MCP Server and Amazon Nova Canvas MCP Server. This will allow Agentforce to intelligently process and summarize documents, extract key information from images, transcribe and analyze audio recordings, identify crucial moments in video files, query enterprise knowledge bases, perform semantic code repository searches, and interact with databases through natural language interfaces via Aurora PostgreSQL/MySQL MCP Servers — all enhancing customer service, compliance checks, and operational reporting. Box: Agentforce can help retrieve the latest signed NDA from a Box MCP service, including a summary of key terms. Agentforce can then post a Slack update to the relevant teams that includes the AI summarization, the contract in PDF form, and recommended next steps. Google Cloud: Customers can unlock new Agentforce use cases by connecting to key Google and Google Cloud services via MCP. For example, developers will be able to seamlessly connect Agentforce to the Google Maps Platform and generative AI models like Veo, Chirp, Imagen, and Lyria, while also enabling agentic interactions with Google Cloud Databases. This can enable Agentforce actions that span location-based services, creative AI, and transactional data. PayPal: Customers can now power a full range of agentic commerce capabilities by connecting Agentforce to PayPal's MCP server. They can list products, place orders, process payments, dispute claims, track shipping, manage subscriptions, issue refunds, and more with PayPal, making integrations simple and easy. Stripe: Agentforce enables AI agents to directly handle a wide range of Stripe functionalities via its MCP server, including real-time product lookups, quick payment link generation, subscription setup, and faster dispute management. WRITER: Through a secure connection to WRITER's MCP server, Agentforce can call WRITER's enterprise-grade AI agents to automate content generation, knowledge retrieval, and compliance checks all within Salesforce workflows. 'AI tools in healthcare must be adaptable to the complex and highly individualized needs of both patients and care teams. We need to support that goal by automating routine interactions in our patient access center that involve common questions and requests, which would free up the team's time to focus on sensitive, more involved, or complex needs,' said Tyler Bauer, Senior Vice President for System Ambulatory Operations at UChicago Medicine.
Business Wire
23-06-2025
- Business
- Business Wire
Salesforce Launches Agentforce 3 to Solve the Biggest Blockers to Scaling AI Agents: Visibility and Control
SAN FRANCISCO--(BUSINESS WIRE)--Salesforce (NYSE: CRM), the world's #1 AI CRM, today announced Agentforce 3: a major upgrade to its digital labor platform that gives companies the visibility and control to scale AI agents without compromise. As enterprise adoption accelerates, the real blocker has become clear: teams can't see what agents are doing — or evolve them fast enough. Agentforce 3 changes that. Built on learnings from thousands of Agentforce deployments since its initial launch in October 2024, Agentforce has helped customers deliver undeniable value. This includes reducing Engine's average customer case handle time by 15%, autonomously resolving 70% of 1-800Accountant's administrative chat engagements during critical tax weeks in 2025, and increasing Grupo Globo's subscriber retention by 22%. Agentforce 3 equips leaders to monitor, improve, and scale their AI workforce with confidence. Agentforce 3 helps companies scale what works, fix what doesn't, and unlock the full potential of agentic AI — with clarity, control, and speed. Share With a new Command Center for complete observability, built-in support for Model Context Protocol (MCP) for plug-and-play interoperability, and over 100 new prebuilt industry actions to speed time to value, Agentforce 3 helps companies scale what works, fix what doesn't, and unlock the full potential of agentic AI — with clarity, control, and speed. Why it Matters: AI agent adoption is surging. According to a soon to be released Slack Workflow Index, AI agent usage is up 233% in six months, and over that same period, 8,000 customers have signed up to deploy Agentforce. But until now, agent platforms have lacked the tooling, governance, and observability needed to scale enterprise-wide. Agentforce 3 closes this gap — delivering the complete visibility, secure tool integration, and enterprise-grade controls organizations need to make agent velocity their competitive advantage. 'With Agentforce, we've unified agents, data, apps, and metadata to create a digital labor platform, helping thousands of companies realize the promise of agentic AI today,' said Adam Evans, EVP & GM of Salesforce AI. 'Over the past several months we've listened deeply to our customers and continued our rapid pace of technology innovation. The result is Agentforce 3, a major leap forward for our platform that brings greater intelligence, higher performance, and more trust and accountability to every Agentforce deployment. Agentforce 3 will redefine how humans and AI agents work together — driving breakthrough levels of productivity, efficiency, and business transformation.' Agentforce Command Center — Monitor, Measure, and Optimize Your AI Agents: As AI agents take on routine tasks and begin collaborating more closely with human teammates, teams need a new observability layer built for the era of digital labor. Agentforce Command Center is that layer: a complete observability solution that gives leaders a unified pane of glass to monitor agent health, measure performance, and optimize outcomes. Built into Agentforce Studio, it completes the agent lifecycle with powerful tools to understand and refine agents at scale. Uncover patterns across interactions to optimize your agents: Command Center empowers teams to analyze every AI agent interaction, drill into specific moments, understand trends in usage, and see AI-powered recommendations for tagged conversation types to continuously improve your Agentforce. Track agent health and intervene in real time: Get live, detailed analytics for latency, escalation frequency, and error rates, plus real-time alerts when the unexpected happens, so teams can act fast and keep agents running smoothly. Understand what's working, and where to improve: Command Center offers detailed dashboards that track agent adoption, feedback, success rates, cost, and topic performance — so teams can see what's gaining traction and where to improve. See what your agents are doing — in the tools your teams already use: Agentforce captures all agent activity in a native, extensible session-tracing data model in Data Cloud — powering analytics, monitoring, and real-time alerting. Built on the OpenTelemetry standard, these agent signals integrate seamlessly with tools your teams already use, including Datadog, Splunk, Wayfound, and other monitoring partners for end-to-end visibility across your existing stack. Deliver a configurable Command Center for every team: Monitor AI agents alongside human teammates — right in the flow of work. Starting with Service Cloud, agent activity will surface in real-time wallboards so contact center supervisors can track performance and escalate fast. And over time, every department will have a Command Center purpose-built for optimizing their agents. Build and test agents fast with AI-assisted development tools: In Agentforce Studio, use natural language to generate topics, instructions, and test cases. Testing Center simulates behavior at scale with state injection and AI-driven evals — so you can pressure-test your agents before going live. 'Agentforce autonomously resolved 70% of 1-800Accountant's administrative chat engagements during the peak this past tax season, an incredible lift during one of our busiest periods. But that early success was just the beginning. We've established a strong deployment foundation and weekly are focused on launching new agentic experiences and AI automations through Agentforce's newest capabilities. With a high level of observability, we can see what's working, optimize in real time, and scale support with confidence,' said Ryan Teeples, Chief Technology Officer at 1-800Accountant. Enabling Secure Enterprise Connectivity with MCP and A2A Support: AI agents can't drive impact if they can't take action using the tools your business relies on. As open standards like Model Context Protocol (MCP) gain traction, they bring new opportunities for interoperability, but also challenges around governance, identity, and control. Agentforce 3 solves this by pairing open connectivity with enterprise-grade trust — giving agents native access to the tools they need, without compromising on control. MCP support built natively into Agentforce: Agentforce will include a native MCP client, enabling Agentforce agents to connect to any MCP-compliant server — no custom code required. Like a 'USB-C for AI,' this enables access to enterprise tools, prompts, and resources — governed by your existing security policies. Turn APIs into MCP servers instantly with MuleSoft: Leveraging new MCP connectors, MuleSoft converts any API and integration into an agent-ready asset, complete with security policies, activity tracing, and traffic controls — empowering teams to orchestrate and govern multi-agent workflows. Easily host and manage custom MCP servers with Heroku: Heroku Managed Inference and AppLink make it fast and easy to deploy, register, maintain, and connect your custom MCP servers. With Heroku's secure infrastructure and DevOps automation, developers can bring trusted custom actions to Agentforce with less friction. MCP AgentExchange Agentforce Gateway Explainer 'Salesforce's open ecosystem approach, especially through its native support for open standards like MCP, will be instrumental in helping us scale our use of AI agents with full confidence. We'll be able to securely connect agents to the enterprise systems we rely on without custom code or compromising governance. That level of interoperability has given us the flexibility to accelerate adoption while staying in complete control of how agents operate within our environment,' said Mollie Bodensteiner, SVP of Operations at Engine. Expanding the AgentExchange — a Leading AI Agent Ecosystem — to Make Agent-First Tools Easy to Discover and Use: As organizations embed AI agents across their teams, AgentExchange already makes it easy to equip them with the trusted tools they need to drive value fast with partner-built agent actions and templates. Now, customers will be able to discover MCP servers from 30+ partners that provide trusted access to new third-party tools and resources and seamlessly connect them to Agentforce through a secure AI agent gateway. Launch MCP partners include AWS, Box, Cisco, Google Cloud, IBM, Notion, PayPal, Stripe, Teradata, WRITER and more. Customers will be able to leverage MCP Servers through AgentExchange from leading partners, including: AWS: Agentforce will enable agents to unlock critical insights from vast repositories of unstructured data stored on AWS, leveraging a suite of MCP servers such as the Amazon Bedrock Data Automation MCP Server and Amazon Nova Canvas MCP Server. This will allow Agentforce to intelligently process and summarize documents, extract key information from images, transcribe and analyze audio recordings, identify crucial moments in video files, query enterprise knowledge bases, perform semantic code repository searches, and interact with databases through natural language interfaces via Aurora PostgreSQL/MySQL MCP Servers — all enhancing customer service, compliance checks, and operational reporting. Box: Agentforce can help retrieve the latest signed NDA from a Box MCP service, including a summary of key terms. Agentforce can then post a Slack update to the relevant teams that includes the AI summarization, the contract in PDF form, and recommended next steps. Google Cloud: Customers can unlock new Agentforce use cases by connecting to key Google and Google Cloud services via MCP. For example, developers will be able to seamlessly connect Agentforce to the Google Maps Platform and generative AI models like Veo, Chirp, Imagen, and Lyria, while also enabling agentic interactions with Google Cloud Databases. This can enable Agenforce actions that span location-based services, creative AI, and transactional data. PayPal: Customers can now power a full range of agentic commerce capabilities by connecting Agentforce to PayPal's MCP server. They can list products, place orders, process payments, dispute claims, track shipping, manage subscriptions, issue refunds, and more with PayPal, making integrations simple and easy. Stripe: Agentforce enables AI agents to directly handle a wide range of Stripe functionalities via its MCP server, including real-time product lookups, quick payment link generation, subscription setup, and faster dispute management. WRITER: Through a secure connection to WRITER's MCP server, Agentforce can call WRITER's enterprise-grade AI agents to automate content generation, knowledge retrieval, and compliance checks all within Salesforce workflows. 'AI tools in healthcare must be adaptable to the complex and highly individualized needs of both patients and care teams. We need to support that goal by automating routine interactions in our patient access center that involve common questions and requests, which would free up the team's time to focus on sensitive, more involved, or complex needs," said Tyler Bauer, Senior Vice President for System Ambulatory Operations, UChicago Medicine. Enhancing the Agentforce Architecture for Unmatched Enterprise Readiness: Underpinning every new capability in Agentforce 3 is an enhanced Atlas architecture, providing an enterprise-ready foundation through lower latency, greater accuracy, global availability, and additional options for control through new LLMs hosted on Salesforce infrastructure. Expanded LLM choice with hosted Anthropic: Agentforce can now use Anthropic's Claude Sonnet model hosted via Amazon Bedrock within the Salesforce trust boundary to meet the needs of customers in high compliance industries. As part of this expanded relationship, Anthropic will work with Salesforce to empower customers in regulated industries to scale Agentforce adoption with Claude. Later this year, Salesforce will also allow customers to use Google's Gemini in Agentforce, solidifying Agentforce's position as the leader in trusted, flexible AI agents. Faster performance and response streaming: Experience a more responsive Agentforce with 50% lower latency since January 2025. Response streaming is also generally available in this release, so users can see answers appear in real time. Greater accuracy through web search, inline citations: Agentforce 3 features trusted, expanded grounding through the addition of web search as a data source, allowing agents to go beyond internal data to answer requests as well as inline citations that provide references to the grounding sources used in responses. More languages, more geographies: Agentforce 3 features an expanded global footprint, deploying to Canada, the U.K., India, Japan, and Brazil to serve AI agent traffic within those regions. This release also adds GA support for six new languages, including French, Italian, German, Spanish, Japanese, and Portuguese — with more than 30 additional languages rolling out in the coming months. Enhanced resiliency with automatic model failover: To ensure agents are always on, Agentforce now enables automatic, latency-based failover — dynamically shifting traffic between model providers in case of performance degradation or outages. Bringing Agentforce to Public Sector customers with FedRAMP High Authorization: Agentforce is now authorized and generally available in Government Cloud Plus, which enables public sector customers to bring Agentforce to their missions with the highest standards of trust, security, and compliance. Unmatched Industry Readiness Out-of-the-Box Delivers the Fastest Path to Value from AI Agents: Agentforce customers in every industry can deliver value from AI agents fast through more than 200 pre-built industry actions — half of them new this summer — from patient scheduling, to advertising proposal generation, to vehicle servicing, and more. Agentforce 3 also introduces simplified, flexible pricing with new Agentforce for Sales, Service, and Industry Cloud SKUs with per-user pricing and unlimited usage of actions for employee-facing agents to help teams get started fast and scale boldly. Deploy and Scale Agentforce with Confidence Through Trusted Experts: The Salesforce partner ecosystem, including Accenture, Deloitte Digital, NeuraFlash, PwC, and more, has aided customers across thousands of Agentforce deployments, providing 272,000 certified specialists to deliver strategic guidance and facilitate the successful activation of AI agents that help drive business impact while maintaining governance. 'With Agentforce, PepsiCo is taking a significant step forward in our agentic journey. By unifying our insights through Salesforce Data Cloud, we're gaining a holistic view of our customers and operations. This visibility enables us to continue to act strategically, strengthen engagement, and drive greater value across every market we serve,' said Athina Kanioura, Chief Strategy and Transformation Officer, PepsiCo. Available Today: Agentforce 3 Agentforce adoption analytics Testing Center enhancements 100+ new, pre-built industry actions New Agentforce add-on SKUs with unlimited employee action usage Heroku managed MCP server hosting Increased speed and response streaming Web Search for Agentforce Data Libraries Agentforce for Government Cloud Plus with FedRAMP High authorization Expanded global availability (Canada, U.K., India, Japan, Brazil) and language support (French, Italian, German, Spanish, Japanese, Portuguese) In Pilot or Beta Today: Anthropic Claude models hosted within the Salesforce trust boundary — generally available in July MuleSoft MCP and A2A support — generally available in July Heroku AppLink — generally available in July Session Tracing Data Model — generally available in August Agent health monitoring — generally available in August To Be Released Soon: Agentforce native MCP support – July Agentforce Command Center and Agentforce Studio app – August Learn more: See the Agentforce 3 release notes Learn more about Agentforce See the new AgentExchange MCP partner collection Learn about Command Center Go deeper on Agentforce MCP support See an in-depth product demo about MCP Get started fast with the new Agentforce guide Explore new pricing options for Agentforce Register for Dreamforce 2025 Join the Agentblazer Community to connect with AI enthusiasts and share insights Any unreleased services or features referenced here are not currently available and may not be delivered on time or at all. Customers should make their purchase decisions based upon features that are currently available. About Salesforce Salesforce helps organizations of any size reimagine their business for the world of AI. With Agentforce, Salesforce's trusted platform, organizations can bring humans together with agents to drive customer success—powered by AI, data, and action. Visit for more information.
Barnama
23-06-2025
- Automotive
- Barnama
Jetoptera Executes FETT for FTC-250 at Paris Air Show 2025
PARIS, June 23 (Bernama) -- On the occasion of Jetoptera's debut at the Paris Air Show 2025, we are proud to announce the successful completion of the first test of the engine that will power the J-500, the 500-lb VTOL cargo unmanned aircraft system Jetoptera is developing in collaboration with Eanan Al Samma, for the United Arab Emirates (UAE) market. The First Engine To Test (FETT) was evaluated at the VAN DER LEE Turbo Systems facilities in Zaandam, The Netherlands. The 250 kW turbocompressor, that is the heart of the Fluidic Propulsive System™, is a two-shaft engine using a free turbine that is mechanically coupled to a two-stage axial compressor designed to produce the appropriate flow rates and pressure ratios required by the FPS™. 'The FETT demonstrated a very smooth startup and operability when operated in a turbofan mode. The engine was instrumented in this configuration, to monitor pressure and temperature as well as thrust produced. The next step includes the performance mapping of the turbocompressor, followed by the integration with the FPS™ onto the J-500 airframe,' said Dr Andrei Evulet, CEO/CTO of Jetoptera, Inc.
Boston Globe
17-06-2025
- Business
- Boston Globe
Mass. startups are plotting how to counter Trump cuts, grow local tech economy
Tufts president Sunil Kumar recalled the region's success building tech and biotech startups around Route 128, but warned that many other states are trying to copy that model. To succeed now, innovators need to look more broadly and include more people from other parts of the state. 'It would be a shame if we recreated Route 128, which is literally a moat,' he said. Excluding some people from new economic opportunities 'eventually catches up with you ... as we are finding out the hard way.' Advertisement Like other speakers at both conferences, Kumar never mentioned President Trump by name, only alluding to the damage done by the new administration's For the combination of 'blue' and 'green' tech startups, which Kumar dubbed the 'teal economy,' he recommended looking to pockets of strength in other areas beyond Greater Boston. New Bedford has a thriving fishing port, he noted. Advertisement Andrew Hargens, chief development officer at Massport, made the point that the region needs to better educate the startup community about strengths and opportunities right in their backyard. A local startup making robots for processing seafood needed to partner with a distributor and ended up connecting with one in far away Alaska, he said. 'We have 200 companies within 600 yards,' he said at the Tufts event. 'They just didn't know.' Though the state's famed academic institutions will continue to feed the talent base for tech startups, the high cost of living and doing business in Massachusetts remains an impediment to building big companies here, Jay Ash, chief executive of the Massachusetts Competitive Partnership, said at the Engine event. Advocates of Massachusetts 'can't just show up anymore with Harvard and MIT behind you and [tell founders] you ought to be here,' Ash said. He praised recent state legislative efforts to speed up permitting for commercial development. 'We're starting to be more aggressive,' he said. Joe Rodden, cofounder and chief executive of sustainable aviation fuel startup Lydian Labs, said the company built its pilot plant in North Carolina due to the lengthy permitting process and high cost of electricity in Massachusetts. That meant engineers had to waste time flying back and forth from Lydian's Cambridge headquarters. 'We will add 40 to 50 jobs in Massachusetts, but want to create thousands in the future,' Rodden said. Despite the challenges, the state's successes have generated powerful resources to keep the innovation sector growing. Both recent meetings took place within modern, airy facilities funded with the fruits of prior tech booms. Advertisement The 'This place in many ways is an optimism battery where you can come to get recharged,' Ben Downing, chief growth officer at The Engine, said. 'If you invent something in Massachusetts, you ought to be able to make it in Massachusetts.' Aaron Pressman can be reached at
