How AI is Impacting the Mobile App Industry

N/A | June 19, 2019 | 77 views

The mobiles apps industry is changing at a rapid pace as new AI technologies become available and become easier to use for developers. From image processing, deep learning, ML product recommendations, Optimal Character Recognition (OCR), and the rise of smart chatbots or virtual assistants. Apps work harder for you and your business than ever before.

Spotlight

eG Innovations

eG Innovations provides IT performance monitoring and digital intelligence solutions that automate and dramatically accelerate the discovery, diagnosis, and resolution of IT performance issues in on-premises, cloud and hybrid environments. eG Innovations' converged application and infrastructure performance monitoring capabilities provide end-to-end visibility of every layer and every tier of the IT infrastructure.

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SOFTWARE

Empowering Industry 4.0 with Artificial Intelligence

Article | July 14, 2022

The next step in industrial technology is about robotics, computers and equipment becoming connected to the Internet of Things (IoT) and enhanced by machine learning algorithms. Industry 4.0 has the potential to be a powerful driver of economic growth, predicted to add between $500 billion- $1.5 trillion in value to the global economy between 2018 and 2022, according to a report by Capgemini.

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AI TECH

How Artificial Intelligence Is Transforming Businesses

Article | July 20, 2022

Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives. AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity

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AI TECH

The advances of AI in healthcare

Article | July 20, 2022

With the Government investing £250 million into the project, the Lab will consider how to use AI for the benefit of patients – whether this be the deployment of existing AI methods, the development of new technologies or the testing of their safety. Amongst other things, the initiative will aim to deliver earlier diagnoses of cancer. It is estimated that in excess of 50,000 extra patients could see their cancer being detected at an early stage, thus boosting survival rates. More specifically, a study has shown that AI is quicker in identifying brain tumour tissue than a pathologist.This would have a positive knock-on effect in other areas, such as enabling money to be saved (that otherwise would have been spent on further treatment) and reducing the workload of staff (at a time when there is a crisis in NHS workforce numbers).

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Three Keys to Successful AI Adoption

Article | February 10, 2020

Over the past several years, we have begun to see the emergence of artificial intelligence (AI) in businesses. According to a study for the AI Index 2019 Annual Report, more than half of respondents report their companies are using AI in at least one function or business unit. Thirty percent report they have AI embedded across multiple areas of their business. As businesses continue to develop their understanding of what is possible with AI, we can expect to see a continued increase in AI adoption.

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Spotlight

eG Innovations

eG Innovations provides IT performance monitoring and digital intelligence solutions that automate and dramatically accelerate the discovery, diagnosis, and resolution of IT performance issues in on-premises, cloud and hybrid environments. eG Innovations' converged application and infrastructure performance monitoring capabilities provide end-to-end visibility of every layer and every tier of the IT infrastructure.

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AI TECH, GENERAL AI, AI APPLICATIONS

Iterate.ai Brings Generative AI Capabilities to Interplay, the Low-Code Platform Accelerating Customers’ Digital Innovation

Iterate.ai | March 21, 2023

Iterate.ai, whose innovation ecosystem enables customers to build production-ready enterprise applications, today announced that its low-code Interplay platform now includes integrations with Stable Diffusion, ChatGPT, and other OpenAI tools across the fast-moving generative AI landscape. Interplay goes beyond what’s available in the industry today by enabling enterprises to fuse their custom AI models with generative AI systems to serve numerous use cases across industries. Interplay’s new generative AI capabilities unlock even faster digital innovation while— importantly—enabling companies to always own their IP with custom AI models. Paired together, Interplay’s low-code environment and generative AI give customers what they need to rapidly implement the most cutting-edge AI capabilities that would otherwise require significant resource investments and complex coding. Organizations can now leverage Interplay and generative AI to enhance and automate their existing product descriptions, create personalized product images on their retail sites, personalize ad campaigns with users' images and themes, build intelligent FAQs, and offer new conversational experiences, among other possibilities. Interplay and its generative AI integrations are applicable across industries, from retail to banking to insurance to healthcare. Some of the world's largest and most innovative companies—including Ulta Beauty, Circle K, and Pampered Chef—use the Interplay low-code platform to develop, scale, and iterate applications at a fraction of the time and expense it would take to hardcode and launch similar capabilities. The platform has continued to add cutting-edge, pre-coded technologies that customers can implement with drag-and-drop simplicity, including AI, machine learning, IoT, API data connections, and other capabilities. Iterate.ai believes that generative AI is one of today's most exciting and promising emerging technologies. Combining the power of generative AI with the Interplay low-code platform promises to further accelerate the pace that businesses can build differentiated, compelling, and modern digital experiences for their customers, employees, and partners. Interplay’s generative AI integration enables organizations to immediately leverage three capabilities from within the low-code environment: Text-to-code generator. Built on OpenAI, Interplay’s new text-to-code solution makes low-code application development faster. Users can generate code by entering a prompt for the desired functionality of the script from within the Interplay platform. Akin to GitHub Copilot, Interplay’s code generator actively assists developers with AI-generated low-code suggestions across the development process. Branded image generation. Interplay enables brands, advertisers, and designers to generate images from text prompts based on a set of training images already within the brand’s intellectual property. Merchandisers can fuse their custom data into Stable Diffusion models to generate customized product images, colorways, and lifestyle images based on customers’ known preferences. Brands can upload brand images, color palettes, and other assets, enter text descriptions, and rapidly produce new images to enhance their applications and customer experiences. GPT-3-powered training and support. Conversational experiences created by Interplay now will have the ability to answer questions and interact with customers via custom AI models and, for general queries, be able to tap into GPT-3 and other large language models (LLMs). “Like low-code itself, generative AI promises to multiply organizations’ productivity and eliminate even more of the traditional roadblocks to harnessing powerful technological capabilities,” said Brian Sathianathan, CTO of Iterate.ai. “The potent combination of the Interplay low-code platform and generative AI now allows developers (including those without any AI expertise) to rapidly build and iteratively perfect applications that deliver the features and experiences that set their companies apart. We’re proud to place some of today’s most powerful generative AI tooling in the hands of Interplay users, and excited to see what they create as they explore its possibilities.” About Iterate.ai Iterate.ai is the simplest, safest, and quickest way to get innovation done. Iterate offers Interplay: a low-code enterprise development platform with built-in capabilities for AI, IoT, big data, and a host of startup API connections. Iterate’s platform has three patents granted and nearly a dozen more pending. The company’s solutions appeal to executives and corporate innovators who seek low-risk, systematic ways to scale in-house, near-term digital innovation initiatives. Iterate has a global presence in North America (Silicon Valley, Colorado), Europe, and Asia (India/Sri Lanka).

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INNOVATION, SOFTWARE, FUTURE TECH

Software AG launches webMethods.io ChatGPT API Connector to leverage Generative AI in core business systems

Software AG | March 20, 2023

Software AG has launched a new ChatGPT API Connector for its webMethods.io integration platform. This will allow companies to integrate OpenAI’s new generative AI tool into their business processes to enhance a number of functions, including customer services. Any company with multi-stage or customer-relevant processes — such as the stages in a retailer's product fulfillment and delivery cycle — can use ChatGPT to help send out updates. Companies in industries from retail to banking to logistics can rapidly decrease the time taken to deliver fully personalized updates to explain any delays or problems. For example, manufacturers are finding that the digital experience is now a priority for partners and customers, as they demand faster and more efficient access to products and services. Even when data and systems are connected, personalization is often limited to the customer’s name and order details. Now ChatGPT brings in a greater understanding of the status of a process and the ability to automatically generate personalized updates — in a hybrid human/machine approach — to be more empathetic than standard responses. “ChatGPT has become a very hot topic, and businesses are looking at how they can make the most of it,” said Dr. Stefan Sigg, chief product officer at Software AG. “While there are seemingly endless possibilities, we’re happy to bring some very practical options to life right away. Companies that can move from generic communication to genuinely personalized messages will find that they can deliver a higher level of service to their customers. At the same time, we have seen over the last year or two rapid acceleration in the levels of technical debt, the management of which can be helped with ChatGPT.” Generative AI can support digital transformation initiatives and tackle the technical debt left in its wake. Recent Software AG research found that companies, on average, are spending 21% of their IT budgets on managing technical debt. The same technical resources needed for clearing technical debt are needed for building digital transformation initiatives. By identifying where ChatGPT can contribute to tasks like legacy code conversion or automation of processes, companies can free up valuable developer time for the most productive, highest-value projects. Generative AI can help with these mission-critical efforts. All of these functions work best in a hybrid approach of people and technology, but ChatGPT significantly speeds up the time and resources needed. “Companies are constantly looking for ways to differentiate themselves, especially in an era of continual disruption,” Sigg said. “Of course, the possibilities of ChatGPT extend way beyond these initial use cases. The most important thing is that there is a straightforward way for companies to get started. We’ve launched this new API Connector for webMethods.io so that organizations can begin to use generative AI without having to spend lots of time and resources developing the integrations for it.” About Software AG Software AG simplifies the connected world. Founded in 1969, it helps deliver the experiences that employees, partners and customers now expect. Its technology creates the digital backbone that integrates applications, devices, data and clouds; empowers streamlined processes; and connects “things” like sensors, devices and machines. It helps 10,000+ organizations to become a truly connected enterprise and make smarter decisions, faster. The company has more than 5,000 employees across more than 70 countries and annual revenue of over €950 million.

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AI TECH, GENERAL AI, AI APPLICATIONS

DataRobot Unveils New AI Platform, Ushering in the Era of Value-Driven AI

DataRobot | March 17, 2023

DataRobot today announced the release of DataRobot AI Platform 9.0, along with deeper partner integrations, AI Accelerators, and redesigned service offerings, all centered on helping organizations derive measurable value from their AI investments. “AI has the potential to enhance every aspect of business transactions and human interactions to improve how we live and work,” said Debanjan Saha, CEO of DataRobot. “Since our founding, we have been 100% focused on helping enterprises realize measurable value from AI by offering an AI lifecycle platform designed to solve business problems, and the applied AI expertise to help customers envision what’s possible – and achieve it.” The DataRobot AI Platform allows customers to leverage Value-Driven AI, a unique and collaborative approach that improves how organizations run, grow and optimize their business. With the new and expanded platform capabilities announced today, DataRobot is enhancing the key features and functionalities trusted by global organizations and relied on by nearly half of the Fortune 50. “DataRobot’s rich machine learning blueprints, feature engineering methods and explainability features amongst others make it a cornerstone in BMW Group’s AI Platform to scale AI adoption,” said Marc Neumann, Head of AI Platform BMW Group. “We use DataRobot for rapid exploration and development of AI models while adhering to the code of ethics for safe and trustworthy AI.” The breakthrough innovations inside the DataRobot AI Platform include capabilities that facilitate: Rapid experimentation and value identification using Workbench, DataRobot’s brand new collaborative experimentation experience. Workbench, equipped with integrated managed Notebooks, supports users with both code-first and no-code approaches and the full spectrum of data science capabilities. Reduced enterprise risk and barriers to production through well-architected guard rails — from bias mitigation, centralized model monitoring, to automated model compliance documentation of both DataRobot and non-DataRobot models. Tremendous value, right from the outset with AI Accelerators and new AI services packages that provide customers with years of DataRobot’s AI expertise to jumpstart AI projects and results. “Before DataRobot, our process was very manual – we had success in pockets but our scale was limited,” said Luke Bunge, Data Science Project Manager at Polaris Inc. “Polaris is growing rapidly, and DataRobot is key to allowing us to scale and expand ML across business units, making our existing team much more productive and driving the most possible value with AI. The DataRobot AI Platform significantly accelerates our speed of experimentation and makes it easier for the team to consistently iterate, find insights and share them with business stakeholders, and maintain value while in production.” With the latest release, DataRobot AI Platform Single-Tenant SaaS is now available on AWS, Google Cloud, and Microsoft Azure, ensuring customers with stringent security and compliance requirements get all the benefits of a managed DataRobot service. For on-premises and private cloud customers, DataRobot now supports Red Hat OpenShift for faster installations and deployments that integrate with existing enterprise IT investments. DataRobot also unveiled a newly announced partnership with SAP, designed to help businesses make the most of their existing investments. The SAP partnership will help enterprises to leverage business data from SAP HANA Cloud and other third-party data sources to build custom machine learning models in DataRobot and embed them into SAP application stack. “To succeed with AI, enterprises need a solution that will work within their existing infrastructure and investments,” said Ritu Jyoti, group vice president, Worldwide Artificial Intelligence (AI) and Automation Research at IDC. “With its platform and integration enhancements that make it easy for customers to deploy in their preferred environment, DataRobot has demonstrated leadership within a crowded market. Their compliance and governance is also uniquely positioned to drive value for customers today.” Looking at the next generation of AI technology, DataRobot is innovating with the generative AI technology from the Microsoft Azure OpenAI Service to modernize both the code-first notebook experience for experimentation through assisted code generation, and the collaboration experience between the data scientist and business stakeholder with an automated and interactive insight interpretation. About DataRobot DataRobot is the leader in Value-Driven AI, a unique and collaborative approach to AI that combines an open platform, deep expertise and broad use-case experience to improve how organizations run, grow and optimize their business. The DataRobot AI Platform is the only complete AI lifecycle platform that interoperates with an organization’s existing investments in data, applications and business processes, and can be deployed on any cloud environment. Global organizations, including 40% of the Fortune 50, rely on DataRobot to drive greater impact and value from AI.

Read More

AI TECH, GENERAL AI, AI APPLICATIONS

Iterate.ai Brings Generative AI Capabilities to Interplay, the Low-Code Platform Accelerating Customers’ Digital Innovation

Iterate.ai | March 21, 2023

Iterate.ai, whose innovation ecosystem enables customers to build production-ready enterprise applications, today announced that its low-code Interplay platform now includes integrations with Stable Diffusion, ChatGPT, and other OpenAI tools across the fast-moving generative AI landscape. Interplay goes beyond what’s available in the industry today by enabling enterprises to fuse their custom AI models with generative AI systems to serve numerous use cases across industries. Interplay’s new generative AI capabilities unlock even faster digital innovation while— importantly—enabling companies to always own their IP with custom AI models. Paired together, Interplay’s low-code environment and generative AI give customers what they need to rapidly implement the most cutting-edge AI capabilities that would otherwise require significant resource investments and complex coding. Organizations can now leverage Interplay and generative AI to enhance and automate their existing product descriptions, create personalized product images on their retail sites, personalize ad campaigns with users' images and themes, build intelligent FAQs, and offer new conversational experiences, among other possibilities. Interplay and its generative AI integrations are applicable across industries, from retail to banking to insurance to healthcare. Some of the world's largest and most innovative companies—including Ulta Beauty, Circle K, and Pampered Chef—use the Interplay low-code platform to develop, scale, and iterate applications at a fraction of the time and expense it would take to hardcode and launch similar capabilities. The platform has continued to add cutting-edge, pre-coded technologies that customers can implement with drag-and-drop simplicity, including AI, machine learning, IoT, API data connections, and other capabilities. Iterate.ai believes that generative AI is one of today's most exciting and promising emerging technologies. Combining the power of generative AI with the Interplay low-code platform promises to further accelerate the pace that businesses can build differentiated, compelling, and modern digital experiences for their customers, employees, and partners. Interplay’s generative AI integration enables organizations to immediately leverage three capabilities from within the low-code environment: Text-to-code generator. Built on OpenAI, Interplay’s new text-to-code solution makes low-code application development faster. Users can generate code by entering a prompt for the desired functionality of the script from within the Interplay platform. Akin to GitHub Copilot, Interplay’s code generator actively assists developers with AI-generated low-code suggestions across the development process. Branded image generation. Interplay enables brands, advertisers, and designers to generate images from text prompts based on a set of training images already within the brand’s intellectual property. Merchandisers can fuse their custom data into Stable Diffusion models to generate customized product images, colorways, and lifestyle images based on customers’ known preferences. Brands can upload brand images, color palettes, and other assets, enter text descriptions, and rapidly produce new images to enhance their applications and customer experiences. GPT-3-powered training and support. Conversational experiences created by Interplay now will have the ability to answer questions and interact with customers via custom AI models and, for general queries, be able to tap into GPT-3 and other large language models (LLMs). “Like low-code itself, generative AI promises to multiply organizations’ productivity and eliminate even more of the traditional roadblocks to harnessing powerful technological capabilities,” said Brian Sathianathan, CTO of Iterate.ai. “The potent combination of the Interplay low-code platform and generative AI now allows developers (including those without any AI expertise) to rapidly build and iteratively perfect applications that deliver the features and experiences that set their companies apart. We’re proud to place some of today’s most powerful generative AI tooling in the hands of Interplay users, and excited to see what they create as they explore its possibilities.” About Iterate.ai Iterate.ai is the simplest, safest, and quickest way to get innovation done. Iterate offers Interplay: a low-code enterprise development platform with built-in capabilities for AI, IoT, big data, and a host of startup API connections. Iterate’s platform has three patents granted and nearly a dozen more pending. The company’s solutions appeal to executives and corporate innovators who seek low-risk, systematic ways to scale in-house, near-term digital innovation initiatives. Iterate has a global presence in North America (Silicon Valley, Colorado), Europe, and Asia (India/Sri Lanka).

Read More

INNOVATION, SOFTWARE, FUTURE TECH

Software AG launches webMethods.io ChatGPT API Connector to leverage Generative AI in core business systems

Software AG | March 20, 2023

Software AG has launched a new ChatGPT API Connector for its webMethods.io integration platform. This will allow companies to integrate OpenAI’s new generative AI tool into their business processes to enhance a number of functions, including customer services. Any company with multi-stage or customer-relevant processes — such as the stages in a retailer's product fulfillment and delivery cycle — can use ChatGPT to help send out updates. Companies in industries from retail to banking to logistics can rapidly decrease the time taken to deliver fully personalized updates to explain any delays or problems. For example, manufacturers are finding that the digital experience is now a priority for partners and customers, as they demand faster and more efficient access to products and services. Even when data and systems are connected, personalization is often limited to the customer’s name and order details. Now ChatGPT brings in a greater understanding of the status of a process and the ability to automatically generate personalized updates — in a hybrid human/machine approach — to be more empathetic than standard responses. “ChatGPT has become a very hot topic, and businesses are looking at how they can make the most of it,” said Dr. Stefan Sigg, chief product officer at Software AG. “While there are seemingly endless possibilities, we’re happy to bring some very practical options to life right away. Companies that can move from generic communication to genuinely personalized messages will find that they can deliver a higher level of service to their customers. At the same time, we have seen over the last year or two rapid acceleration in the levels of technical debt, the management of which can be helped with ChatGPT.” Generative AI can support digital transformation initiatives and tackle the technical debt left in its wake. Recent Software AG research found that companies, on average, are spending 21% of their IT budgets on managing technical debt. The same technical resources needed for clearing technical debt are needed for building digital transformation initiatives. By identifying where ChatGPT can contribute to tasks like legacy code conversion or automation of processes, companies can free up valuable developer time for the most productive, highest-value projects. Generative AI can help with these mission-critical efforts. All of these functions work best in a hybrid approach of people and technology, but ChatGPT significantly speeds up the time and resources needed. “Companies are constantly looking for ways to differentiate themselves, especially in an era of continual disruption,” Sigg said. “Of course, the possibilities of ChatGPT extend way beyond these initial use cases. The most important thing is that there is a straightforward way for companies to get started. We’ve launched this new API Connector for webMethods.io so that organizations can begin to use generative AI without having to spend lots of time and resources developing the integrations for it.” About Software AG Software AG simplifies the connected world. Founded in 1969, it helps deliver the experiences that employees, partners and customers now expect. Its technology creates the digital backbone that integrates applications, devices, data and clouds; empowers streamlined processes; and connects “things” like sensors, devices and machines. It helps 10,000+ organizations to become a truly connected enterprise and make smarter decisions, faster. The company has more than 5,000 employees across more than 70 countries and annual revenue of over €950 million.

Read More

AI TECH, GENERAL AI, AI APPLICATIONS

DataRobot Unveils New AI Platform, Ushering in the Era of Value-Driven AI

DataRobot | March 17, 2023

DataRobot today announced the release of DataRobot AI Platform 9.0, along with deeper partner integrations, AI Accelerators, and redesigned service offerings, all centered on helping organizations derive measurable value from their AI investments. “AI has the potential to enhance every aspect of business transactions and human interactions to improve how we live and work,” said Debanjan Saha, CEO of DataRobot. “Since our founding, we have been 100% focused on helping enterprises realize measurable value from AI by offering an AI lifecycle platform designed to solve business problems, and the applied AI expertise to help customers envision what’s possible – and achieve it.” The DataRobot AI Platform allows customers to leverage Value-Driven AI, a unique and collaborative approach that improves how organizations run, grow and optimize their business. With the new and expanded platform capabilities announced today, DataRobot is enhancing the key features and functionalities trusted by global organizations and relied on by nearly half of the Fortune 50. “DataRobot’s rich machine learning blueprints, feature engineering methods and explainability features amongst others make it a cornerstone in BMW Group’s AI Platform to scale AI adoption,” said Marc Neumann, Head of AI Platform BMW Group. “We use DataRobot for rapid exploration and development of AI models while adhering to the code of ethics for safe and trustworthy AI.” The breakthrough innovations inside the DataRobot AI Platform include capabilities that facilitate: Rapid experimentation and value identification using Workbench, DataRobot’s brand new collaborative experimentation experience. Workbench, equipped with integrated managed Notebooks, supports users with both code-first and no-code approaches and the full spectrum of data science capabilities. Reduced enterprise risk and barriers to production through well-architected guard rails — from bias mitigation, centralized model monitoring, to automated model compliance documentation of both DataRobot and non-DataRobot models. Tremendous value, right from the outset with AI Accelerators and new AI services packages that provide customers with years of DataRobot’s AI expertise to jumpstart AI projects and results. “Before DataRobot, our process was very manual – we had success in pockets but our scale was limited,” said Luke Bunge, Data Science Project Manager at Polaris Inc. “Polaris is growing rapidly, and DataRobot is key to allowing us to scale and expand ML across business units, making our existing team much more productive and driving the most possible value with AI. The DataRobot AI Platform significantly accelerates our speed of experimentation and makes it easier for the team to consistently iterate, find insights and share them with business stakeholders, and maintain value while in production.” With the latest release, DataRobot AI Platform Single-Tenant SaaS is now available on AWS, Google Cloud, and Microsoft Azure, ensuring customers with stringent security and compliance requirements get all the benefits of a managed DataRobot service. For on-premises and private cloud customers, DataRobot now supports Red Hat OpenShift for faster installations and deployments that integrate with existing enterprise IT investments. DataRobot also unveiled a newly announced partnership with SAP, designed to help businesses make the most of their existing investments. The SAP partnership will help enterprises to leverage business data from SAP HANA Cloud and other third-party data sources to build custom machine learning models in DataRobot and embed them into SAP application stack. “To succeed with AI, enterprises need a solution that will work within their existing infrastructure and investments,” said Ritu Jyoti, group vice president, Worldwide Artificial Intelligence (AI) and Automation Research at IDC. “With its platform and integration enhancements that make it easy for customers to deploy in their preferred environment, DataRobot has demonstrated leadership within a crowded market. Their compliance and governance is also uniquely positioned to drive value for customers today.” Looking at the next generation of AI technology, DataRobot is innovating with the generative AI technology from the Microsoft Azure OpenAI Service to modernize both the code-first notebook experience for experimentation through assisted code generation, and the collaboration experience between the data scientist and business stakeholder with an automated and interactive insight interpretation. About DataRobot DataRobot is the leader in Value-Driven AI, a unique and collaborative approach to AI that combines an open platform, deep expertise and broad use-case experience to improve how organizations run, grow and optimize their business. The DataRobot AI Platform is the only complete AI lifecycle platform that interoperates with an organization’s existing investments in data, applications and business processes, and can be deployed on any cloud environment. Global organizations, including 40% of the Fortune 50, rely on DataRobot to drive greater impact and value from AI.

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