Latest news with #KimKroghAndersen
Techday NZ
2 days ago
- Business
- Techday NZ
Why Process Intelligence is vital for success with Agentic AI
The pace of change in AI shows no sign of slowing, with new technologies emerging and seemingly being usurped on a weekly basis. For decision-makers, this can be a daunting challenge. However, the encouraging news is that AI development is largely iterative, each new tool builds on the foundations laid by its predecessors. This has brought us to the next phase of the AI revolution, Agentic AI. This latest development describes the development and implementation of autonomous software agents, grounded in Generative AI, that can make decisions and take action independently of human input. According to Gartner, by 2028, 33% of enterprise software applications will include AI agents, and 15% of work decisions will be made autonomously. Forward-thinking organisations are already using AI agents to uncover business value and achieve goals such as accelerating software development. Australian companies Telstra and Commonwealth Bank are ensuring they are keeping up with the pace of change by putting boots on the ground in Silicon Valley, providing employees with direct access to the tech pioneers leading the artificial intelligence revolution. Telstra will take up residence in Accenture's offices near Google's headquarters in Mountain View, California, as part of a $700 million investment in an AI alliance. As Telstra's Group Executive for Product and Technology Kim Krogh Andersen said at the time of the launch: "Advances in AI technology are happening at incredible speed. We've seen the conversation shift from generative AI to include agentic AI in the space of months, and this technology will change the game. To extend our network leadership and reinvent customer experiences, we will take our innovation to the next level by combining our domain expertise with the best AI minds, in the heart of technology advancement, Silicon Valley." While being at the cutting edge of technology in Silicon Valley is one thing, AI agents need a clear understanding of business context. How can leaders ensure that AI agents comprehend how their businesses operate? The answer lies in Process Intelligence (PI). PI takes data from systems such as Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM) software to track how events progress within an organisation. It creates a dynamic, living digital twin of business operations, offering a holistic view of how work gets done. This makes it a foundational tool for implementing AI in ways that actually deliver value. AI agents are not a one-size-fits-all technology panacea that can solve every business problem right out of the box. For AI agents to succeed, they must be built to solve specific problems and they need insight into how the business really functions. This is where PI plays a critical role. It gathers fragmented data from dozens or hundreds of business processes, offering AI agents a 'common language' to understand events such as invoicing and shipping, and offering high-quality, timely data which can enable AI agents to make better decisions. With a digital twin of business operations in hand, AI agents can analyse how processes truly impact each other across the whole business and uncover opportunities to drive efficiency. Businesses are already creating AI agents built to harness the power of PI and seeing tangible results. One customer has worked with Celonis to develop an AI-driven inventory to track parts and materials. Within two months the AI tools had identified that many purchase orders were raised for spare parts that were already in stock as well as highlighting that a significant portion of spare parts were over eight years old. An additional AI Agent uses the inventory to optimise spare part availability for plant engineers, with users able to describe the parts they need using technical descriptions or common industry terms, eliminating the need for exact part numbers. In another case, PI and Agentic AI helped a company double the speed of software delivery by improving predictability and cutting stage waiting times by 30 to 40%. AI-driven tools pinpointed bottlenecks, offered predictive alerts, and suggested mitigations ranked by potential impact. Leaders could ask simple, natural-language questions to uncover delays and risks, using an AI copilot that translated complex data into clear, actionable insights. Agentic AI holds the potential to revolutionise enterprise operations, but its effectiveness depends on the quality of data agents have access to. PI 'bridges the gap' to provide AI with the input it needs, offering oversight of the totality of the business's processes. PI is thus a vital tool for optimising enterprise processes. Enterprise customers that try to improve their processes using AI without the vital insights from PI all too often fail. In fact 89% of business leaders globally we surveyed recently said that giving AI the context of how their business runs is crucial if it is going to deliver meaningful results. That is why we believe there can be no effective enterprise AI without PI. Process intelligence is integrated into live systems, so even when systems change, it offers AI agents real time access to the current state of processes. Think of it like the mapping data for a GPS. Without a map, you're just following a line on a blank screen. You won't know why you were turning left and it would be all too easy to take a wrong turn. Similarly, Process Intelligence gives AI agents the essential context to navigate business complexity reliably. Agentic AI is set to become increasingly central to enterprise success. But its impact depends on access to timely, accurate, and contextual data. Process Intelligence provides this foundation enabling AI agents to drive meaningful change across business functions, from software development to finance. The message is clear: Agentic AI needs the right data, and the right context. That's exactly what Process Intelligence delivers.
Channel Post MEA
27-05-2025
- Business
- Channel Post MEA
Cognizant Open Sources Its Neuro AI Multi-Agent Accelerator
Cognizant has announced that it has open-sourced its Neuro AI Multi-Agent Accelerator for research and academic use. This open-source software enables domain experts, researchers, and developers to immediately start prototyping and building agent networks across virtually any use case. The open-source software will help accelerate AI adoption by promoting collaboration in building and customizing multi-agent systems for adaptive operations and real-time decision-making. Enterprises can leverage Cognizant's Multi-Agent Services Suite to deploy networks of agents in a commercial setting at scale and to efficiently manage them in production, under a commercial license. The AI Agents Market is anticipated to rapidly grow over the next five years, from a value of USD 5.1 billion in 2024 to a projected worth of USD 47.1 billion by the year 2030. Today's news speeds how enterprises can leverage interconnected agents to explore new revenue streams and drive scalable business value. Developed by Cognizant's AI Lab, the open-sourced software for Neuro AI Multi-Agent Accelerator demonstrates Cognizant's leadership in AI innovation and its commitment to advancing the application of AI Agents. The AI Agents Market is anticipated to rapidly grow over the next five years, from a value of USD 5.1 billion in 2024 to a projected worth of USD 47.1 billion by the year 2030. Today's news speeds how enterprises can leverage interconnected agents to explore new revenue streams and drive scalable business value. Developed by Cognizant's AI Lab, the open-sourced software for Neuro® AI Multi-Agent Accelerator demonstrates Cognizant's leadership in AI innovation and its commitment to advancing the application of AI Agents. Clients like Telstra, Australia's leading telecommunications and technology company, are working with Cognizant to test and deploy multi-agent systems. 'The open sourcing of the Neuro AI Multi-Agent Accelerator will further empower our teams to rapidly prototype and integrate existing AI agents, and help accelerate our software development lifecycle,' said Telstra's Group Executive for Product and Technology, Kim Krogh Andersen. 'We're already starting to see the potential for gains in quality, velocity and efficiency as a result.' Cognizant has also helped a healthcare company create a Contract Negotiator agent network that speeds up medical appeal processing times, as well as a consumer packaged goods firm for analyzing supply chain management. Cognizant is in the process of more than 65 conversations with clients around agentic AI. Building a successful multi-agent network requires the ability to orchestrate diverse agents, tools, and knowledge sources — including general-purpose large language models (LLMs) and organization-specific systems like service level management (SLMs) or retrieval-augmented generation (RAG) frameworks. Cognizant's Neuro AI Multi-Agent Accelerator aims to enable virtually seamless integration with APIs, RAG, and third-party agents like Salesforce's Agentforce, Google's Agentspace, or Crew AI—via its native Model Context Protocol (MCP) or standard API calls. An optional inter-agent coordination protocol allows these agents to autonomously organize, delegate tasks, and route processes—boosting efficiency and minimizing errors. Agent2Agent (A2A) protocol is also supported, which expands agent collaboration across clouds, platforms, and organizational boundaries. 'To stay competitive in the era of agentic AI, enterprises must be free to experiment—to explore how agents can transform business processes and drive operational efficiencies,' said Babak Hodjat, Chief Technology Officer of AI at Cognizant. 'By open-sourcing Neuro AI Multi-Agent Accelerator, we're expanding access to our cutting-edge multi-agent technology—empowering developers to innovate faster, and enabling decision-makers, regardless of technical background, to rapidly prototype systems and directly observe their impact on key performance indicators. 'Agentforce is built on Salesforce's deeply unified platform that is open and extensible, empowering our ecosystem of partners and builders to innovate with AI that's grounded in trust. Cognizant's decision to open source its Neuro AI Multi-Agent Accelerator exemplifies the kind of partnership that helps our customers move faster and innovate with confidence,' said Gary Lerhaupt, Vice President of Product Architecture, Salesforce. 'Together, we're enabling enterprises to deploy agents that think, collaborate, and deliver value—across every corner of their business.' 0 0
Cision Canada
22-05-2025
- Business
- Cision Canada
Cognizant Makes Scalable Agent Networks Accessible to Every Enterprise
TEANECK, N.J., May 22, 2025 /CNW/ -- Cognizant (Nasdaq: CTSH) today announced that it has open-sourced its Neuro® AI Multi-Agent Accelerator for research and academic use. This open-source software enables domain experts, researchers, and developers to immediately start prototyping and building agent networks across virtually any use case. The open-source software will help accelerate AI adoption by promoting collaboration in building and customizing multi-agent systems for adaptive operations and real-time decision-making. Enterprises can leverage Cognizant's Multi-Agent Services Suite to deploy networks of agents in a commercial setting at scale and to efficiently manage them in production, under a commercial license. The AI Agents Market is anticipated to rapidly grow over the next five years, from a value of USD 5.1 billion in 2024 to a projected worth of USD 47.1 billion by the year 2030. Today's news speeds how enterprises can leverage interconnected agents to explore new revenue streams and drive scalable business value. Developed by Cognizant's AI Lab, the open-sourced software for Neuro® AI Multi-Agent Accelerator demonstrates Cognizant's leadership in AI innovation and its commitment to advancing the application of AI Agents. Clients like Telstra, Australia's leading telecommunications and technology company, are working with Cognizant to test and deploy multi-agent systems. "The open sourcing of the Neuro AI Multi-Agent Accelerator will further empower our teams to rapidly prototype and integrate existing AI agents, and help accelerate our software development lifecycle," said Telstra's Group Executive for Product and Technology, Kim Krogh Andersen. "We're already starting to see the potential for gains in quality, velocity and efficiency as a result." Cognizant has also helped a healthcare company create a Contract Negotiator agent network that speeds up medical appeal processing times, as well as a consumer packaged goods firm for analyzing supply chain management. Cognizant is in the process of more than 65 conversations with clients around agentic AI. Building a successful multi-agent network requires the ability to orchestrate diverse agents, tools, and knowledge sources — including general-purpose large language models (LLMs) and organization-specific systems like service level management (SLMs) or retrieval-augmented generation (RAG) frameworks. Cognizant's Neuro AI Multi-Agent Accelerator aims to enable virtually seamless integration with APIs, RAG, and third-party agents like Salesforce's Agentforce, Google's Agentspace, or Crew AI—via its native Model Context Protocol (MCP) or standard API calls. An optional inter-agent coordination protocol allows these agents to autonomously organize, delegate tasks, and route processes—boosting efficiency and minimizing errors. Agent2Agent (A2A) protocol is also supported, which expands agent collaboration across clouds, platforms, and organizational boundaries. "To stay competitive in the era of agentic AI, enterprises must be free to experiment—to explore how agents can transform business processes and drive operational efficiencies," said Babak Hodjat, Chief Technology Officer of AI at Cognizant. "By open-sourcing Neuro AI Multi-Agent Accelerator, we're expanding access to our cutting-edge multi-agent technology—empowering developers to innovate faster, and enabling decision-makers, regardless of technical background, to rapidly prototype systems and directly observe their impact on key performance indicators. "Agentforce is built on Salesforce's deeply unified platform that is open and extensible, empowering our ecosystem of partners and builders to innovate with AI that's grounded in trust. Cognizant's decision to open source its Neuro AI Multi-Agent Accelerator exemplifies the kind of partnership that helps our customers move faster and innovate with confidence," said Gary Lerhaupt, Vice President of Product Architecture, Salesforce. "Together, we're enabling enterprises to deploy agents that think, collaborate, and deliver value—across every corner of their business." Neuro® AI Multi-Agent Accelerator - Key Features: Intelligent Opportunity Discovery: Provide a company name or problem area, and the Agent Network Designer will automatically propose a tailored agentic network aligned to your use case—helping you move from idea to implementation faster. Rapid and Streamlined Customization: Quickly build and modify multi-agent systems using natural language or leverage prebuilt templates for domains like loan origination, customer service, retail optimization, and intranet automation—dramatically reducing development cycles and risk. Scalable, Distributed Operation: Connectors support homegrown tools, APIs, and third-party agents like Salesforce's Agentforce and Google Agentspace via Model Context Protocol (MCP) or standard API calls. A coordination layer enables agents to intelligently self-organize, distribute tasks, and route processes—boosting efficiency and reducing errors. Secure Private Data: Supports regulated industries such as finance and healthcare by isolating confidential information through private data channels to support compliance and data protection. LLM and Cloud Provider Agnostic: Easily switch between open-source and most commercial LLMs, as well as private/public cloud providers, without the need for system rebuilds. Extensible Coded Tools: Enhance agent networks with custom-coded tools—vital for grounding agent decisions in real-time data, or for defining logical boundaries that trigger human intervention where needed. Multi-server, Distributed Deployment: Run agent sub-networks across multiple servers, enabling scalable architectures that support parallel processing, geographic distribution, or segmented use cases. Data-Driven Network Definition: Define and update your agentic systems entirely via data-only configuration files—supporting version control, auditability, and rapid reusability across projects. Agent Testing Capability: Use the Agent Network Tester to identify bottlenecks or breakdowns within your network. Get actionable insights into coordination issues, agent logic gaps, or integration errors. Cognizant Scales Agents to 330,000 people via its Intranet, 1Cognizant Thousands of employees now use 1Cognizant, an intranet assistant powered by its Neuro AI Multi-Agent Accelerator. This tool consolidates and organizes multiple agents to efficiently help employees with various tasks, from reserving meeting rooms and calling cabs to handling inquiries like moving countries or getting married. 1Cognizant can now provide immediate actionable advice and assistance to employees, increasing efficiency and breaking down internal silos. For more information visit our landing page or our blog. For media inquiries, please contact: U.S. Name: Gabrielle Gugliocciello Email: [email protected] SOURCE Cognizant
Yahoo
22-05-2025
- Business
- Yahoo
Cognizant Makes Scalable Agent Networks Accessible to Every Enterprise
Open-Sources Neuro® AI Multi-Agent Accelerator TEANECK, N.J., May 22, 2025 /PRNewswire/ -- Cognizant (Nasdaq: CTSH) today announced that it has open-sourced its Neuro® AI Multi-Agent Accelerator for research and academic use. This open-source software enables domain experts, researchers, and developers to immediately start prototyping and building agent networks across virtually any use case. The open-source software will help accelerate AI adoption by promoting collaboration in building and customizing multi-agent systems for adaptive operations and real-time decision-making. Enterprises can leverage Cognizant's Multi-Agent Services Suite to deploy networks of agents in a commercial setting at scale and to efficiently manage them in production, under a commercial license. The AI Agents Market is anticipated to rapidly grow over the next five years, from a value of USD 5.1 billion in 2024 to a projected worth of USD 47.1 billion by the year 2030. Today's news speeds how enterprises can leverage interconnected agents to explore new revenue streams and drive scalable business value. Developed by Cognizant's AI Lab, the open-sourced software for Neuro® AI Multi-Agent Accelerator demonstrates Cognizant's leadership in AI innovation and its commitment to advancing the application of AI Agents. Clients like Telstra, Australia's leading telecommunications and technology company, are working with Cognizant to test and deploy multi-agent systems. "The open sourcing of the Neuro AI Multi-Agent Accelerator will further empower our teams to rapidly prototype and integrate existing AI agents, and help accelerate our software development lifecycle," said Telstra's Group Executive for Product and Technology, Kim Krogh Andersen. "We're already starting to see the potential for gains in quality, velocity and efficiency as a result." Cognizant has also helped a healthcare company create a Contract Negotiator agent network that speeds up medical appeal processing times, as well as a consumer packaged goods firm for analyzing supply chain management. Cognizant is in the process of more than 65 conversations with clients around agentic AI. Building a successful multi-agent network requires the ability to orchestrate diverse agents, tools, and knowledge sources — including general-purpose large language models (LLMs) and organization-specific systems like service level management (SLMs) or retrieval-augmented generation (RAG) frameworks. Cognizant's Neuro AI Multi-Agent Accelerator aims to enable virtually seamless integration with APIs, RAG, and third-party agents like Salesforce's Agentforce, Google's Agentspace, or Crew AI—via its native Model Context Protocol (MCP) or standard API calls. An optional inter-agent coordination protocol allows these agents to autonomously organize, delegate tasks, and route processes—boosting efficiency and minimizing errors. Agent2Agent (A2A) protocol is also supported, which expands agent collaboration across clouds, platforms, and organizational boundaries. "To stay competitive in the era of agentic AI, enterprises must be free to experiment—to explore how agents can transform business processes and drive operational efficiencies," said Babak Hodjat, Chief Technology Officer of AI at Cognizant. "By open-sourcing Neuro AI Multi-Agent Accelerator, we're expanding access to our cutting-edge multi-agent technology—empowering developers to innovate faster, and enabling decision-makers, regardless of technical background, to rapidly prototype systems and directly observe their impact on key performance indicators. "Agentforce is built on Salesforce's deeply unified platform that is open and extensible, empowering our ecosystem of partners and builders to innovate with AI that's grounded in trust. Cognizant's decision to open source its Neuro AI Multi-Agent Accelerator exemplifies the kind of partnership that helps our customers move faster and innovate with confidence," said Gary Lerhaupt, Vice President of Product Architecture, Salesforce. "Together, we're enabling enterprises to deploy agents that think, collaborate, and deliver value—across every corner of their business." Neuro® AI Multi-Agent Accelerator - Key Features: Intelligent Opportunity Discovery: Provide a company name or problem area, and the Agent Network Designer will automatically propose a tailored agentic network aligned to your use case—helping you move from idea to implementation faster. Rapid and Streamlined Customization: Quickly build and modify multi-agent systems using natural language or leverage prebuilt templates for domains like loan origination, customer service, retail optimization, and intranet automation—dramatically reducing development cycles and risk. Scalable, Distributed Operation: Connectors support homegrown tools, APIs, and third-party agents like Salesforce's Agentforce and Google Agentspace via Model Context Protocol (MCP) or standard API calls. A coordination layer enables agents to intelligently self-organize, distribute tasks, and route processes—boosting efficiency and reducing errors. Secure Private Data: Supports regulated industries such as finance and healthcare by isolating confidential information through private data channels to support compliance and data protection. LLM and Cloud Provider Agnostic: Easily switch between open-source and most commercial LLMs, as well as private/public cloud providers, without the need for system rebuilds. Extensible Coded Tools: Enhance agent networks with custom-coded tools—vital for grounding agent decisions in real-time data, or for defining logical boundaries that trigger human intervention where needed. Multi-server, Distributed Deployment: Run agent sub-networks across multiple servers, enabling scalable architectures that support parallel processing, geographic distribution, or segmented use cases. Data-Driven Network Definition: Define and update your agentic systems entirely via data-only configuration files—supporting version control, auditability, and rapid reusability across projects. Agent Testing Capability: Use the Agent Network Tester to identify bottlenecks or breakdowns within your network. Get actionable insights into coordination issues, agent logic gaps, or integration errors. Cognizant Scales Agents to 330,000 people via its Intranet, 1Cognizant Thousands of employees now use 1Cognizant, an intranet assistant powered by its Neuro AI Multi-Agent Accelerator. This tool consolidates and organizes multiple agents to efficiently help employees with various tasks, from reserving meeting rooms and calling cabs to handling inquiries like moving countries or getting married. 1Cognizant can now provide immediate actionable advice and assistance to employees, increasing efficiency and breaking down internal silos. For more information visit our landing page or our blog. About CognizantCognizant (Nasdaq-100: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday how at or @cognizant. For media inquiries, please contact: Gabrielle GuglioccielloEmail: Europe / APACName: Christina SchneiderEmail: IndiaName: Rashmi VasishtEmail: View original content to download multimedia: SOURCE Cognizant
Yahoo
13-05-2025
- Business
- Yahoo
Telstra and Accenture Launch Silicon Valley Hub to Rapidly Advance Benefits of AI for Telstra Customers and People
MOUNTAIN VIEW, Calif., May 13, 2025--(BUSINESS WIRE)--Telstra and Accenture (NYSE: ACN) today launched an AI Silicon Valley hub, a first-of-its-kind innovation facility for Telstra to incubate and accelerate its top priorities. As part of the Telstra and Accenture joint venture, which officially kicked off in April, the hub provides direct access to cutting edge technology, top engineering talent and collaboration spaces with ecosystem partners, such as Amazon Web Services (AWS), Databricks and Microsoft. The hub will connect with teams in Sydney, Melbourne and Bangalore as part of Accenture Connected Innovation Centers— creating a virtual door where teams can ideate, collaborate, build and test in a secure environment. With top global experts working with the joint venture team, the hub will deliver foundational architecture and solutions that enable Telstra to realize its AI-first ambitions. Telstra Group Executive for Product and Technology Kim Krogh Andersen said, "Advances in AI technology are happening at incredible speed – we've seen the conversation shift from generative AI to include agentic AI in the space of months, and this technology will change the game. To extend our network leadership and reinvent customer experiences, we will take our innovation to the next level by combining our domain expertise with the best AI minds, in the heart of technology advancement, Silicon Valley." Across the seven-year joint venture, the AI Silicon Valley hub will accelerate Telstra's foundational AI architecture that will power AI use cases and unlock business intelligence. It will also drive advanced engineering and applied research and development to fast-track Telstra's data and AI roadmap. The initial priorities include to: Deploy AI Refinery for Telstra, building agentic solutions and reimagining legacy processes. This includes transforming Telstra's order to activate process into an intelligent, adaptive system supported by decision-capable AI agents – reducing the time some processes take from weeks to days. Advance Telstra's responsible AI capabilities, including real-time model monitoring, ensuring AI systems and agents remain compliant with policy and community expectations as Telstra scales AI solutions. Co-innovate across the partner ecosystem, with dedicated space for engineering teams from partners, such as AWS, Databricks and Microsoft, and the opportunity to test niche start-up solutions. Learn from academia, including the Berkeley Sky Labs and Stanford HAI, to bring research and ideation on data, AI and network innovation. For example, the Accenture Berkeley Foundation Model Architect program. "Bringing together leading research and engineering talent to innovate and build solutions for our customers and people is exactly what this joint venture is about. With some of the best minds in emerging tech and advanced AI, and an ecosystem of partners, we're opening up pathways to access global talent to build technology that creates value for our customers and our people, faster," Krogh Andersen said. Karthik Narain, group chief executive – Technology and CTO, Accenture, said, "Telstra's AI strategy is a bold, whole-of-business strategy that sets a new industry standard. Strategic partnerships, like what we have with Telstra, are an important source of competitive advantage for winning in this AI era. They bring out the best out of both organizations. This hub represents a nexus of breakthrough innovations for our teams in Silicon Valley, Australia and India, enabling co-development and learning across the ecosystem." About the joint venture Telstra and Accenture announced a joint venture in January 2025, which commenced in April 2025, to rapidly accelerate Telstra's data and AI roadmap to further extend its network leadership, improve customer experience, and help its teams operate more efficiently and effectively. Steered by joint global leadership, the JV comprises specialists from Telstra and Accenture's data and AI teams to build on Telstra's work creating a world-class data and AI ecosystem, modernizing its data and AI platforms, and embedding responsible AI by design. About Telstra Telstra is Australia's leading telecommunications and technology company. We offer a full range of services and compete in all telecommunications markets in Australia, operating the largest mobile and wi-fi networks. Globally, we provide end-to-end solutions including managed network services, global connectivity, cloud, voice, colocation, conferencing and satellite solutions. We have licenses in Asia, Europe and the United States and offer access to more than 2,000 points of presence across the globe. For more information visit About Accenture Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 801,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at View source version on Contacts Kate MaherAccenture+61 405 778 Steve CareyTelstra+61 413 988 640media@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
