Adobe Outlines AI Enhancements For Experience Cloud

April 2, 2020 | 108 views

More than 30 per cent of the 400 patents Adobe filed last year were specifically related to artificial intelligence and machine learning.  Adobe introduced its AI capability Sensei four years ago and has since launched hundreds of new AI-powered features and capabilities across its portfolio. Within its marketing, advertising and commerce clouds, the AI services aim to help marketers to optimise campaigns, automate tedious tasks and provide predictive capabilities. Speaking during the virtual edition of Adobe Summit this week, Anil Chakravarthy, the new head of Adobe’s digital experience business, outlined which AI features will be available to Adobe experience cloud customers in 2020.  Chakravarthy announced the general availability of two of these services Customer AI and Attribution AI.

Spotlight

Qlik

Qlik® delivers intuitive platform solutions for self-service data visualization, guided analytics applications, embedded analytics and reporting to approximately 45,000 customers worldwide. Companies of all sizes, across all industries and geographies, use Qlik solutions to visualize and explore information, generate insight and make better decisions. At Qlik, we optimize Business Intelligence (BI) by harnessing the collective intelligence of people across an organization.

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FUTURE TECH

AI's Impact on Improving Customer Experience

Article | July 26, 2022

To enhance the consumer experience, businesses all over the world are experimenting with artificial intelligenace (AI), machine learning, and advanced analytics. Artificial intelligence (AI) is becoming increasingly popular among marketers and salespeople, and it has become a vital tool for businesses that want to offer their customers a hyper-personalized, outstanding experience. Customer relationship management (CRM) and customer data platform (CDP) software that has been upgraded with AI has made AI accessible to businesses without the exorbitant expenses previously associated with the technology. When AI and machine learning are used in conjunction for collecting and analyzing social, historical, and behavioral data, brands may develop a much more thorough understanding of their customers. In addition, AI can predict client behavior because it continuously learns from the data it analyzes, in contrast to traditional data analytics tools. As a result, businesses may deliver highly pertinent content, boost sales, and enhance the customer experience. Predictive Behavior Analysis and Real-time Decision Making Real-time decisioning is the capacity to act quickly and based on the most up-to-date information available, such as information from a customer's most recent encounter with a company. For instance, Precognitive's Decision-AI uses a combination of AI and machine learning to assess any event in real-time with a response time of less than 200 milliseconds. Precognitive's fraud prevention product includes Decision-AI, which can be implemented using an API on a website. Marketing to customers can be done more successfully by using real-time decisioning. For example, brands may display highly tailored, pertinent content and offer to clients by utilizing AI and real-time decisioning to discover and comprehend a customer's purpose from the data they produce in real-time. By providing deeper insights into what has already happened and what can be done to facilitate a sale through suggestions for related products and accessories, AI and predictive analytics are able to go further than historical data alone. This increases the relevance of the customer experience, increases the likelihood that a sale will be made, and increases the emotional connection that the customer has with a brand.

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AI TECH

The Evolution of Quantum Computing and What its Future Beholds

Article | July 20, 2022

The mechanism of quantum computers will be entirely different from anything we humans have ever created or constructed in the past. Quantum computers, like classical computers, are designed to address problems in the real world. They process data in a unique way, though, which makes them a much more effective machine than any computer in use today. Superposition and entanglement, two fundamental ideas in quantum mechanics, could be used to explain what makes quantum computers unique. The goal of quantum computing research is to find a technique to accelerate the execution of lengthy chains of computer instructions. This method of execution would take advantage of a quantum physics event that is frequently observed but does not appear to make much sense when written out. When this fundamental objective of quantum computing is accomplished, and all theorists are confident works in practice, computing will undoubtedly undergo a revolution. Quantum computing promises that it will enable us to address specific issues that current classical computers cannot resolve in a timely manner. While not a cure-all for all computer issues, quantum computing is adequate for most "needle in a haystack" search and optimization issues. Quantum Computing and Its Deployment Only the big hyperscalers and a few hardware vendors offer quantum computer emulators and limited-sized quantum computers as a cloud service. Quantum computers are used for compute-intensive, non-latency-sensitive issues. Quantum computer architectures can't handle massive data sizes yet. In many circumstances, a hybrid quantum-classical computer is used. Quantum computers don't use much electricity to compute but need cryogenic refrigerators to sustain superconducting temperatures. Networking and Quantum Software Stacks Many quantum computing software stacks virtualize the hardware and build a virtual layer of logical qubits. Software stacks provide compilers that transform high-level programming structures into low-level assembly commands that operate on logical qubits. In addition, software stack suppliers are designing domain-specific application-level templates for quantum computing. The software layer hides complexity without affecting quantum computing hardware performance or mobility.

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FUTURE TECH

Language Models: Emerging Types and Why They Matter

Article | July 14, 2022

Language model systems, often known as text understanding and generation systems, are the newest trend in business. However, not every language model is made equal. A few are starting to take center stage, including massive general-purpose models like OpenAI's GPT-3 and models tailored for specific jobs. There is a third type of model at the edge that is intended to run on Internet of Things devices and workstations but is typically very compressed in size and has few functionalities. Large Language Models Large language models, which can reach tens of petabytes in size, are trained on vast volumes of text data. As a result, they rank among the models with the highest number of parameters, where a "parameter" is a value the model can alter on its own as it gains knowledge. The model's parameters, which are made of components learned from prior training data, fundamentally describe the model's aptitude for solving a particular task, like producing text. Fine-tuned Language Models Compared to their massive language model siblings, fine-tuned models are typically smaller. Examples include OpenAI's Codex, a version of GPT-3 that is specifically tailored for programming jobs. Codex is both smaller than OpenAI and more effective at creating and completing strings of computer code, although it still has billions of parameters. The performance of a model, like its capacity to generate protein sequences or respond to queries, can be improved through fine-tuning. Edge Language Models Edge models, which are intentionally small in size, occasionally take the shape of finely tuned models. To work within certain hardware limits, they are occasionally trained from scratch on modest data sets. In any event, edge models provide several advantages that massive language models simply cannot match, notwithstanding their limitations in some areas. The main factor is cost. There are no cloud usage fees with an edge approach that operates locally and offline. As significant, fine-tuned, and edge language models grow in response to new research, they are likely to encounter hurdles on their way to wider use. For example, compared to training a model from the start, fine-tuning requires less data, but fine-tuning still requires a dataset.

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SOFTWARE

Low-code and No-code: A Business' New Best Friend

Article | July 5, 2022

Businesses are starting to integrate artificial intelligence (AI) into their workflow in greater numbers as a result of the growth of digital transformation and developments in machine learning (ML). As a result, platforms that need no coding, as well as their low-code counterparts, are becoming more popular. This development is a step toward computer science's long-term objective of automating manual coding. Low-code/no-code AI platforms will be beneficial to businesses in more data-driven industries like marketing, sales, and finance. AI can assist in a variety of ways, including automating invoicing, evaluating reports, making intelligent suggestions, and anticipating churn rates. How Does an Organization Look at Low-code/No-code as the Future? Developers and other tech-related positions are in high demand, particularly in the fields of AI and data science. Organizations have the chance to close the gap with the aid of citizen data scientists who don't require an AI professional to design unique AI solutions for many scenarios, thanks to low-code and no-code AI technologies. The demand for technological solutions and AI technologies is rising significantly as the technological landscape rapidly changes. AI systems, for example, require complex software that uses a lot of code, a variety of frameworks, and the Internet of Things (IoT). One person's capacity to comprehend every technical detail is strained by the array of complicated technology. Software delivery must be timely, effective, and secure while maintaining high standards. Conclusion Low-code AI solutions offer the speed, ease of use, and adaptability of ready-made software solutions while also drastically reducing the time to market for AI solutions and the cost of recruiting software and computer vision engineers. Organizations are free to construct the architecture, functionality, or pipeline that best suits their project, the sky being the limit. However, creating such unique models may be both costly and time-consuming. Therefore, employing low-code/no-code platforms would apply to particular pipeline actions that would streamline and accelerate the processes.

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Spotlight

Qlik

Qlik® delivers intuitive platform solutions for self-service data visualization, guided analytics applications, embedded analytics and reporting to approximately 45,000 customers worldwide. Companies of all sizes, across all industries and geographies, use Qlik solutions to visualize and explore information, generate insight and make better decisions. At Qlik, we optimize Business Intelligence (BI) by harnessing the collective intelligence of people across an organization.

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SOFTWARE,FUTURE TECH,COMPUTER VISION

Seismic and Microsoft partner to power the future of sales with Viva Sales

Seismic | September 26, 2022

Seismic, the global leader in enablement, today announced a new partnership with Microsoft for its seller experience application, Viva Sales. Together, Microsoft and Seismic will transform the future of sales and streamline daily workflows for the modern salesperson. Today’s salespeople use numerous apps and tools in their daily work but are challenged with bringing together the bigger picture across meetings, email, chat, and CRM. Breaking down silos of data, Viva Sales empowers sellers in their flow of work within Microsoft 365 and Teams, reducing busy work and maximizing sellers’ time for the most valuable area of their work – engaging with customers and closing deals. ​​ ​​Embedded within the Viva Sales workflow, Seismic will provide content production, collaboration, task automation, and engagement intelligence for Viva Sales users across the meeting experience to help drive deals and relationships forward. The joint vision of Microsoft Viva Sales and Seismic is to streamline the buyer engagement experience for relationship-based sales teams and increase productivity through preparation, automation, and intelligence. ​​“Microsoft has been one of our longstanding partners and we’ve always had close alignment across our product and go-to-market teams, so we’re thrilled to help launch Viva Sales. “Our leadership in sales enablement, content automation, enablement intelligence, and buyer engagement will perfectly complement the mission of Viva Sales to improve seller productivity and drive revenue. We can’t wait to get started.” ​​ Hayden Stafford, President and Chief Revenue Officer at Seismic Microsoft’s partnership with Seismic for Viva Sales will add AI-powered capabilities for virtual meetings, the key vehicle for modern sales teams to interact with prospects and customers. As the first step in this journey, the Seismic Enablement Cloud™ will provide recommended content and training for follow-up as part of the Viva Sales AI-powered post-meeting call summaries.​​ Looking ahead, sales organizations can expect content and training recommendations, pre-built digital sales rooms, and meeting analysis powered by Seismic. ���​“We’re united with Seismic in our commitment to empower sellers through relevant content and an improved seller experience. Our plan to integrate Seismic with Viva Sales will help sellers have more personalized customer engagements whether they are in the office or on the road, with a helpful assist from the AI-driven insights and content,” said Lori Lamkin, CVP, Dynamics 365 Customer Experience Applications. About Seismic Seismic is the global leader in enablement, helping organizations engage customers, enable teams, and ignite revenue growth. The Seismic Enablement Cloud™ is the most powerful, unified enablement platform that equips customer-facing teams with the right skills, content, tools, and insights to grow and win. From the world’s largest enterprises to startups and small businesses, more than 2,000 organizations around the globe trust Seismic for their enablement needs. Seismic is headquartered in San Diego with offices across North America, Europe, and Australia.

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SOFTWARE,FUTURE TECH,COMPUTER VISION

Datawiza Integration with Microsoft 365 Brings MFA to Oracle Business Applications

Datawiza | September 19, 2022

Datawiza, the industry's leading cloud-native access proxy for securing applications, today announced a new integration with Microsoft 365 that allows businesses to deploy multifactor authentication (MFA) for mission-critical Oracle business applications. By creating a no-code, secure bridge between Oracle applications and Microsoft 365, the Datawiza cloud-native proxy enables Microsoft 365 customers to quickly extend the power of Microsoft's modern Identity and Access (IAM) solution, Azure Active Directory , to Peoplesoft, Oracle E-Business Suite, JD Edwards (JDE) and Siebel – in minutes. Datawiza: Modern Access Management for Hard-to-Secure Applications “Thousands of enterprises today run on business applications that don’t always support modern security protocols,” said Dr. Canming Jiang, Co-Founder & CEO of Datawiza. “Corporate boards are demanding immediate action to eliminate vulnerabilities, but replacing mission-critical applications like Peoplesoft, E-Business Suite, JDE and Siebel would take far too long and cost too much. Our cloud-native proxy helps organizations extend their investment in these solutions by enabling modern capabilities like MFA and single sign-on in less than five minutes, helping them quickly respond to new security requirements, such as the need to meet cyber insurance requirements or establish Zero Trust Application Access.” “Microsoft is passionate about helping businesses protect their identities, applications, and data. “Datawiza is a partner in our Secure Hybrid Access program. Their fast, secure solution helps our customers take advantage of the multifactor authentication capabilities built into Azure AD (now part of Microsoft Entra) to protect their portfolio of critical Oracle business solutions. This way, they can get even more value from their investment in Microsoft 365 and Microsoft Entra, our family of modern identity and access solutions.” Sue Bohn, Vice President of the Identity and Network Access Customer and Partner Experience Team at Microsoft Multifactor authentication adds an additional layer to application access, requiring users to prove their identity with more than just a username and password. When a user signs into an application, the system requires a second authentication, such as scanning a fingerprint or entering a code received by a smartphone. MFA is built into Microsoft 365, which includes Azure AD, but it relies on modern security protocols, such as SAML or OIDC, which Oracle and other legacy applications don’t support. The lightweight, cloud-delivered Datawiza platform relies on super-lightweight, cloud-native and container-based proxies located near the applications they protect. The Datawiza cloud-native proxy is deployed at the front end of the applications to create a bridge between the applications and Microsoft 365. In just a few minutes, Datawiza can be deployed and configured and begin requiring MFA, as well as single sign-on (SSO) and conditional access, to log into any application – from Oracle applications to homegrown applications to open source tools. The benefits of Datawiza include: Added security to extend the life of mission-critical investments – Datawiza works in all cloud, IAM and network infrastructures No-code, so quick to deploy – no security expertise required, no new vulnerabilities are inadvertently introduced Fine-grained access controls across homegrown, open source and legacy applications, for all environments: on-prem, cloud, multi-cloud, and hybrid Easily integrated with cutting-edge cloud-native technologies, such as containerization and Kubernetes Protection for individual applications even if the network is breached About Datawiza Datawiza, the industry's leading cloud-native access proxy for securing applications and APIs, provides consolidated and continuous risk and trust assessment. Unlike other access management products (e.g., legacy web access managers) that are complex and siloed in hybrid environments, Datawiza offers large enterprises and SMBs a comprehensive, centralized and easy-to-deploy solution that allows every company to simplify access management, save time and increase security. Datawiza was founded in 2018 by security expert Dr. Canming Jiang, a veteran of Shape Security, now part of F5, and cloud expert Cunhao (Alex) Gao, a veteran of Google and Amazon.

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AI TECH,GENERAL AI,SOFTWARE

C3 AI Introduces New ESG Application

C3.ai, Inc. | September 15, 2022

C3 AI , the Enterprise AI software application company, today announced the introduction of C3 AI ESG, an application that harnesses artificial intelligence and machine learning to enable companies to monitor, report, and improve their ESG (environmental, social, and governance) performance. C3 AI ESG reduces the time required to gather, manage, and analyze disparate ESG data, and allows companies to identify ESG risks, capture opportunities, and accelerate initiatives to meet their ESG goals. C3 AI ESG enables customers to integrate data from all their ERP, supplier, customer and manufacturing systems—plus relevant exogenous market data, emissions, and commodity data—and provide comprehensive Scope 1, Scope 2, and Scope 3 ESG reporting in compliance with any of SASB, GRI, TCFD, and CDP reporting standards. C3 AI ESG is entirely predictive, allowing companies to accurately forecast their ESG KPIs and plan mitigation measures to achieve their corporate ESG objectives. According to Verdantix, ESG is estimated to become a $30 billion market by 2030. “As ESG objectives continue to rise on the corporate agenda, organizations require solutions to better plan, track, measure, and report ESG performance across their entire value chain. “C3 AI ESG allows organizations to employ advanced AI and ML capabilities not only to provide complete visibility of their ESG status, but to identify and execute strategies to meet their ambitious ESG goals more effectively.” Ed Abbo, President and CTO at C3 AI Key capabilities of the C3 AI ESG application include: Integrating key ESG data across enterprise systems into a unified data image Continuously calculating and tracking ESG KPIs against goals Providing AI-driven recommendations to improve performance on priority ESG issues Centralizing compliance with major ESG reporting standards and frameworks Automating ESG reporting and workflows to review and approve publication of ESG data Using AI to analyze and efficiently respond to external data requests Identifying emerging ESG risks and opportunities using AI to analyze news, media, and priority stakeholder publications Ensuring data accuracy and integrity with end-to-end auditability and AI-driven data validation C3 AI ESG is immediately available and can be deployed on any private or public cloud infrastructure (including AWS, Microsoft Azure, and Google Cloud), or on-premises. About C3.ai, Inc. C3 AI is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 AI Application Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications and C3 AI Applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally.

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SOFTWARE,FUTURE TECH,COMPUTER VISION

Seismic and Microsoft partner to power the future of sales with Viva Sales

Seismic | September 26, 2022

Seismic, the global leader in enablement, today announced a new partnership with Microsoft for its seller experience application, Viva Sales. Together, Microsoft and Seismic will transform the future of sales and streamline daily workflows for the modern salesperson. Today’s salespeople use numerous apps and tools in their daily work but are challenged with bringing together the bigger picture across meetings, email, chat, and CRM. Breaking down silos of data, Viva Sales empowers sellers in their flow of work within Microsoft 365 and Teams, reducing busy work and maximizing sellers’ time for the most valuable area of their work – engaging with customers and closing deals. ​​ ​​Embedded within the Viva Sales workflow, Seismic will provide content production, collaboration, task automation, and engagement intelligence for Viva Sales users across the meeting experience to help drive deals and relationships forward. The joint vision of Microsoft Viva Sales and Seismic is to streamline the buyer engagement experience for relationship-based sales teams and increase productivity through preparation, automation, and intelligence. ​​“Microsoft has been one of our longstanding partners and we’ve always had close alignment across our product and go-to-market teams, so we’re thrilled to help launch Viva Sales. “Our leadership in sales enablement, content automation, enablement intelligence, and buyer engagement will perfectly complement the mission of Viva Sales to improve seller productivity and drive revenue. We can’t wait to get started.” ​​ Hayden Stafford, President and Chief Revenue Officer at Seismic Microsoft’s partnership with Seismic for Viva Sales will add AI-powered capabilities for virtual meetings, the key vehicle for modern sales teams to interact with prospects and customers. As the first step in this journey, the Seismic Enablement Cloud™ will provide recommended content and training for follow-up as part of the Viva Sales AI-powered post-meeting call summaries.​​ Looking ahead, sales organizations can expect content and training recommendations, pre-built digital sales rooms, and meeting analysis powered by Seismic. ���​“We’re united with Seismic in our commitment to empower sellers through relevant content and an improved seller experience. Our plan to integrate Seismic with Viva Sales will help sellers have more personalized customer engagements whether they are in the office or on the road, with a helpful assist from the AI-driven insights and content,” said Lori Lamkin, CVP, Dynamics 365 Customer Experience Applications. About Seismic Seismic is the global leader in enablement, helping organizations engage customers, enable teams, and ignite revenue growth. The Seismic Enablement Cloud™ is the most powerful, unified enablement platform that equips customer-facing teams with the right skills, content, tools, and insights to grow and win. From the world’s largest enterprises to startups and small businesses, more than 2,000 organizations around the globe trust Seismic for their enablement needs. Seismic is headquartered in San Diego with offices across North America, Europe, and Australia.

Read More

SOFTWARE,FUTURE TECH,COMPUTER VISION

Datawiza Integration with Microsoft 365 Brings MFA to Oracle Business Applications

Datawiza | September 19, 2022

Datawiza, the industry's leading cloud-native access proxy for securing applications, today announced a new integration with Microsoft 365 that allows businesses to deploy multifactor authentication (MFA) for mission-critical Oracle business applications. By creating a no-code, secure bridge between Oracle applications and Microsoft 365, the Datawiza cloud-native proxy enables Microsoft 365 customers to quickly extend the power of Microsoft's modern Identity and Access (IAM) solution, Azure Active Directory , to Peoplesoft, Oracle E-Business Suite, JD Edwards (JDE) and Siebel – in minutes. Datawiza: Modern Access Management for Hard-to-Secure Applications “Thousands of enterprises today run on business applications that don’t always support modern security protocols,” said Dr. Canming Jiang, Co-Founder & CEO of Datawiza. “Corporate boards are demanding immediate action to eliminate vulnerabilities, but replacing mission-critical applications like Peoplesoft, E-Business Suite, JDE and Siebel would take far too long and cost too much. Our cloud-native proxy helps organizations extend their investment in these solutions by enabling modern capabilities like MFA and single sign-on in less than five minutes, helping them quickly respond to new security requirements, such as the need to meet cyber insurance requirements or establish Zero Trust Application Access.” “Microsoft is passionate about helping businesses protect their identities, applications, and data. “Datawiza is a partner in our Secure Hybrid Access program. Their fast, secure solution helps our customers take advantage of the multifactor authentication capabilities built into Azure AD (now part of Microsoft Entra) to protect their portfolio of critical Oracle business solutions. This way, they can get even more value from their investment in Microsoft 365 and Microsoft Entra, our family of modern identity and access solutions.” Sue Bohn, Vice President of the Identity and Network Access Customer and Partner Experience Team at Microsoft Multifactor authentication adds an additional layer to application access, requiring users to prove their identity with more than just a username and password. When a user signs into an application, the system requires a second authentication, such as scanning a fingerprint or entering a code received by a smartphone. MFA is built into Microsoft 365, which includes Azure AD, but it relies on modern security protocols, such as SAML or OIDC, which Oracle and other legacy applications don’t support. The lightweight, cloud-delivered Datawiza platform relies on super-lightweight, cloud-native and container-based proxies located near the applications they protect. The Datawiza cloud-native proxy is deployed at the front end of the applications to create a bridge between the applications and Microsoft 365. In just a few minutes, Datawiza can be deployed and configured and begin requiring MFA, as well as single sign-on (SSO) and conditional access, to log into any application – from Oracle applications to homegrown applications to open source tools. The benefits of Datawiza include: Added security to extend the life of mission-critical investments – Datawiza works in all cloud, IAM and network infrastructures No-code, so quick to deploy – no security expertise required, no new vulnerabilities are inadvertently introduced Fine-grained access controls across homegrown, open source and legacy applications, for all environments: on-prem, cloud, multi-cloud, and hybrid Easily integrated with cutting-edge cloud-native technologies, such as containerization and Kubernetes Protection for individual applications even if the network is breached About Datawiza Datawiza, the industry's leading cloud-native access proxy for securing applications and APIs, provides consolidated and continuous risk and trust assessment. Unlike other access management products (e.g., legacy web access managers) that are complex and siloed in hybrid environments, Datawiza offers large enterprises and SMBs a comprehensive, centralized and easy-to-deploy solution that allows every company to simplify access management, save time and increase security. Datawiza was founded in 2018 by security expert Dr. Canming Jiang, a veteran of Shape Security, now part of F5, and cloud expert Cunhao (Alex) Gao, a veteran of Google and Amazon.

Read More

AI TECH,GENERAL AI,SOFTWARE

C3 AI Introduces New ESG Application

C3.ai, Inc. | September 15, 2022

C3 AI , the Enterprise AI software application company, today announced the introduction of C3 AI ESG, an application that harnesses artificial intelligence and machine learning to enable companies to monitor, report, and improve their ESG (environmental, social, and governance) performance. C3 AI ESG reduces the time required to gather, manage, and analyze disparate ESG data, and allows companies to identify ESG risks, capture opportunities, and accelerate initiatives to meet their ESG goals. C3 AI ESG enables customers to integrate data from all their ERP, supplier, customer and manufacturing systems—plus relevant exogenous market data, emissions, and commodity data—and provide comprehensive Scope 1, Scope 2, and Scope 3 ESG reporting in compliance with any of SASB, GRI, TCFD, and CDP reporting standards. C3 AI ESG is entirely predictive, allowing companies to accurately forecast their ESG KPIs and plan mitigation measures to achieve their corporate ESG objectives. According to Verdantix, ESG is estimated to become a $30 billion market by 2030. “As ESG objectives continue to rise on the corporate agenda, organizations require solutions to better plan, track, measure, and report ESG performance across their entire value chain. “C3 AI ESG allows organizations to employ advanced AI and ML capabilities not only to provide complete visibility of their ESG status, but to identify and execute strategies to meet their ambitious ESG goals more effectively.” Ed Abbo, President and CTO at C3 AI Key capabilities of the C3 AI ESG application include: Integrating key ESG data across enterprise systems into a unified data image Continuously calculating and tracking ESG KPIs against goals Providing AI-driven recommendations to improve performance on priority ESG issues Centralizing compliance with major ESG reporting standards and frameworks Automating ESG reporting and workflows to review and approve publication of ESG data Using AI to analyze and efficiently respond to external data requests Identifying emerging ESG risks and opportunities using AI to analyze news, media, and priority stakeholder publications Ensuring data accuracy and integrity with end-to-end auditability and AI-driven data validation C3 AI ESG is immediately available and can be deployed on any private or public cloud infrastructure (including AWS, Microsoft Azure, and Google Cloud), or on-premises. About C3.ai, Inc. C3 AI is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 AI Application Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications and C3 AI Applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally.

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