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Dataiku 12 Accelerates Into the AI Era With Power and Control

Globenewswire | June 01, 2023 | Read time : 05:00 min

Dataiku 12 Accelerates Into the AI Era With Power and Control

Dataiku, the platform for Everyday AI, today unveiled Dataiku 12, their latest breakthrough release packed with transformative new features designed to help organizations confidently harness AI in their advanced analytics initiatives with enhanced transparency and strengthened governance features.

As businesses strive to stay ahead of the innovation in advanced analytics and AI, ChatGPT, and Large Language Models have become central to boardroom discussions. Companies must balance the pressure to deploy AI for a competitive edge with the need to manage potential risks to their reputation and operations. For many, the risks are overwhelming due to poor visibility and inconsistent processes across data, analytics, and AI tools used by various teams.

Dataiku 12 addresses these challenges while providing total confidence, control, and trust in AI outputs. The new features include:

  • OpenAI GPT Integration: Dataiku allows business users to incorporate OpenAI's GPT models into data projects by extending datasets and performing tasks using a visual interface and natural language prompts, all while maintaining transparency and trust in project outputs.
  • Causal Machine Learning (ML): Causal predictions ensure that correlation is not confused with causation, when doing so would be harmful to the business or other stakeholders. Dataiku democratizes these capabilities ensuring that anyone building ML models can understand the “why” behind their results.
  • Universal Feature Importance: Some ML models offer limited explanations for decisions, undermining trust with stakeholders. Dataiku centralizes model explainability, so teams have a consistent way to explain models that builds confidence and trust with business users.
  • Model Overrides: A core principle of AI safety is maintaining human oversight. In some cases, predictive models don’t have the best or safest answer, so Dataiku allows experts to create strict rules to enforce model outcomes for known cases, based on real-world experience.
  • Model Risk Project Views: With AI projects across teams at different stages of development, it is difficult to manage risks and allocate resources. Dataiku allows business and analytics leaders to easily spot and mitigate risks in AI projects, increasing trust in project outputs.
  • Transparent Automated Feature Generation: Feature engineering can be a "black box" in the AI modeling process, increasing perceived risk. Dataiku gives people transparency and control over this ML technique, helping to understand where new features originate.

"As we advance further into the era of AI, delivering trust via transparency and governance is now essential for any business aiming to stay at the forefront of innovation. Dataiku 12 directly addresses this need,” said Florian Douetteau, co-founder and CEO at Dataiku. “We’re empowering companies to confidently explore the vast potential of AI, while providing robust mechanisms for oversight and risk management. This fusion of power and control is the key to unlocking the full potential of AI in the most responsible way possible."

"I was excited to get an early preview of the new features in Dataiku 12,” said Marlan Crosier, Senior Data Scientist at Premera Blue Cross. “We can immediately apply both Universal Feature Importance and Model Overrides to improve model explainability and ensure that our work produces the highest quality outputs for our business."

About Dataiku

Dataiku is the platform for Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations. Together, they design, develop and deploy new AI capabilities, at all scales and in all industries. Organizations that use Dataiku enable their people to be extraordinary, creating the AI that will power their company into the future. Founded in 2013, Dataiku has proven its ability to develop its founding vision for Everyday AI, and to execute on its growth. With more than 500 customers and more than 1,000 employees, Dataiku is proud of its rapid growth and 95% retention of Forbes Global 2000 customers. Connect with Dataiku on their blog, Twitter (@dataiku) and on LinkedIn.

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Accelerate AI Adoption with Frictionless AI

Altair RapidMiner is unrivaled in its ability to eliminate the organizational friction between people, the technical friction between tools, and the financial friction between aspiration and reality. Our solutions empower your employees, regardless of their skill level, to master the analytics lifecycle, from data ingestion and modeling to operationalization and reporting. Our platform delivers the tools you need to go from idea to insight. The result is a data analytics ecosystem that meets you where you are, and evolves with you, wherever you go in the future.

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Global analytics software firm FICO has been granted 9 patents, 3 foreign and 6 U.S., related to digital decisioning in the areas of fraud, artificial intelligence (AI), and machine learning technology. FICO’s extensive industry expertise in building AI and machine learning models provides value to enterprises that adopt FICO® Platform and other FICO solutions. “Patents are a product of industry inspired innovation, and we continue to develop tremendous IP in AI, machine learning, and decision management,” said Scott Zoldi, chief analytics officer at FICO. “FICO solutions deliver real-time decisions for businesses worldwide. The power of better decisions and hyper-personalized customer experiences, as exemplified by FICO Platform, is being driven by new AI technologies responding to ever-changing industry demands.” FICO’s new patents include “Soft Segmentation Based Rules Optimization for Zero Detection Loss False Positive Reduction” – which covers rules-based financial crime detection for detecting money laundering and fraud while reducing false positive detections. The techniques include the use of topic models to determine semantic structures underlying transactions and the derivation of behavior archetypes based on those structures, with the result being the reduction of false positives while preserving the same true positive detection set. “Mobile Attribute Time-Series Profiling Analytics” – which claims a means to assess the likelihood that a transaction is abnormal based on a behavioral pattern of a mobile device. The behaviors associated with the device improve fraud detection for transactions that do not occur on the mobile device. This patent has been validated in the UK, France, and Germany and used in FICO® Falcon® Fraud Manager, FICO® Fraud Predictor with Merchant Profiles, and FICO® Platform. “Latent Feature Dimensionality Bounds for Robust Machine Learning on High Dimensional Datasets” – which describes a method to identify the number of optimal hidden nodes in a neural network model, leading to the development of more robust and stable machine learning models at the core of responsible AI. This patent is used in FICO® Platform. “Assessing the Presence of Selective Omission via Collaborative Counterfactual Interventions” – which addresses a critical challenge in operationalizing models in open data environments, where lenders and users of models need to understand the likelihood that the customer is omitting key data that impact outcomes. This patent is used in FICO’s Open Banking Analytic models. “Workflow Templates for Configuration Packages” – which claims a process to allow a decision service to generate decision data based on user-generated input, a collection of configurations, and a decision flow template, leading to a configured software solution. This patent is used in FICO® Strategy Director. “Meaningfully Explaining Black-Box Machine Learning Models” – which covers a means for providing insights into the efficacy and understandability of black-box machine learning models. This patent is used in FICO® Platform - Analytics Workbench™. “Efficient Parallelized Computation of Global Behavioral Profiles in Real-time Transaction Scoring Systems” – which describes a computer-implemented, real-time transaction scoring system for rank-ordering transactions associated with suspicious activity, such as financial crime or a cybersecurity threat. This patent is used in FICO® Falcon® Fraud Manager, FICO® Fraud Predictor with Merchant Profiles, and FICO® Platform. To date, FICO’s patent portfolio consists of 218 active patents, with an additional 71 patent applications filed and pending approval. About FICO FICO powers decisions that help people and businesses around the world prosper. Founded in 1956, the company is a pioneer in the use of predictive analytics and data science to improve operational decisions. FICO holds more than 200 US and foreign patents on technologies that increase profitability, customer satisfaction and growth for businesses in financial services, insurance, telecommunications, health care, retail and many other industries. Using FICO solutions, businesses in nearly 120 countries do everything from protecting 2.6 billion payment cards from fraud, to improving financial inclusion, to increasing supply chain resiliency. The FICO® Score, used by 90% of top US lenders, is the standard measure of consumer credit risk in the US and other countries, improving risk management, credit access and transparency.

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Stack Overflow Announces OverflowAI at WeAreDevelopers

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Stack Overflow’s annual Developer Survey of 90,000 coders recently found that 77% of developers are favorable of AI tools, but only 42% trust the accuracy of those tools. Although there are currently more than a dozen new features, functions and capabilities in various stages of development across both Stack Overflow for Teams and the public platform, shared on the keynote stage was what users can request access to today, with limited Alphas beginning in late August 2023. Within Stack Overflow for Teams, the company’s SaaS platform for developers and technologists: OverflowAI Enterprise Knowledge Ingestion: With OverflowAI, Stack Overflow for Teams users will be able to curate and build a knowledge base in minutes by leveraging existing, accurate and trusted content. AI/ML will create the first drafts of a tagging structure and recommend questions and answers, freeing up developers to focus on adding value by curating and refining the content to validate accuracy. OverflowAI Enhanced Search: Stack Overflow for Teams customers will be able to quickly find the most relevant answers and proactive learning paths, leveraging trustworthy sources such as Stack Overflow for Teams, Stack Overflow’s public platform, and other places a customer stores knowledge such as Confluence and GitHub, with more sources to be added over time. OverflowAI Visual Studio Code Extension: Developers spend a majority of their time in an IDE and Stack Overflow is not going to break that workflow. Stack Overflow for Visual Studio Code extension will pull in validated content from both the public platform and a user’s private Stack Overflow for Teams instance to provide developers with a personalized summary of how to solve problems efficiently and effectively. OverflowAI Slack Integration: Stack Overflow’s new StackPlusOne chatbot gathers generated solutions to the most technical challenges instantly - while you are in Slack. 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Stack Overflow’s annual Developer Survey of 90,000 coders recently found that 77% of developers are favorable of AI tools, but only 42% trust the accuracy of those tools. Although there are currently more than a dozen new features, functions and capabilities in various stages of development across both Stack Overflow for Teams and the public platform, shared on the keynote stage was what users can request access to today, with limited Alphas beginning in late August 2023. Within Stack Overflow for Teams, the company’s SaaS platform for developers and technologists: OverflowAI Enterprise Knowledge Ingestion: With OverflowAI, Stack Overflow for Teams users will be able to curate and build a knowledge base in minutes by leveraging existing, accurate and trusted content. AI/ML will create the first drafts of a tagging structure and recommend questions and answers, freeing up developers to focus on adding value by curating and refining the content to validate accuracy. 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This new GenAI integration will provide answers to questions using all Stack Overflow community-validated sources, all while keeping a company’s data private. On Stack Overflow’s public platform: OverflowAI Search: Public platform users will be able to receive instant, trustworthy, and accurate solutions to problems using search and question asking powered by GenAI. Our goal is that responses generated can be attributed and cited, using the highly trusted knowledge from the more than 58 million questions and answers on Stack Overflow, with the ability to query the knowledge base further for more personalized and relevant results and follow up questions. AI Community Discussions: Developers now have new dedicated resources for unbiased, technical resources and responses from experts. A dedicated GenAI Stack Exchange will serve as a place for a community that is centered around knowledge sharing for writing prompts for GenAI tools and AI/ML more broadly. Additionally, Stack Overflow’s Natural Language Processing (NLP) Collective will include a new feature called Discussions that will provide a focused space to debate technical approaches, explore implementation strategies and share different perspectives, so that users can make more informed technical decisions. “For the last fifteen years, developers have come to Stack Overflow to get a solution to a specific problem. With the rise of Generative AI, Stack Overflow’s foundation of trusted and accurate data will be central to how technology solutions are built,” said Prashanth Chandrasekar, Chief Executive Officer at Stack Overflow. “There is no doubt that with widespread access to GenAI tools that code will be created more quickly, and the volume is likely to explode with code completion tools and the need for trust in their output will only increase for developers. Our goal with OverflowAI is to ensure developers are not only contributing to the foundation of what GenAI is today, they are also an integral part of building its future. Developers and technologists should take pride and ownership in knowing that community is the future of AI.” About Stack Overflow Across both its public and private platforms, Stack Overflow is empowering developer communities to discover the information, answers, and learning opportunities they need – when they need them. Millions of the world's developers and technologists visit Stack Overflow to ask questions, learn, and share technical knowledge, making it one of the most popular websites in the world. Stack Overflow’s market-leading knowledge sharing and collaboration platform, Stack Overflow for Teams, helps more than 15,000 organizations distribute knowledge, increase efficiency, and innovate faster. Founded in 2008, Stack Exchange, Inc., the owner of Stack Overflow, is headquartered in New York, NY. Stack Overflow is a registered trademark of Stack Exchange, Inc.

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General AI, AI Applications, Software

Eccentex Announces New HyperAutomation and AI Services

Prnewswire | July 25, 2023

Eccentex, an industry leading No-code / Low-code development platform and process automation software company, announced today the EAP Availability of new Generative AI capabilities that will shape the future of Case Management. These new AI capabilities will fundamentally change the way companies managing customer related cases and tasks today - said Tibor Vass CMO of Eccentex. Eccentex introduced 20+ new AI features as part of its new HyperAutomation Cloud platform and recently trademarked HyperAutomation as a Service™ (HaaS) offer that creates a new category in the Business Automation Market. With this new platform and innovative offer, Eccentex is moving from Low-Code development to a No-Code development method, that further accelerates agility and widens the horizon of all Business Automation capabilities. With the help of Eccentex AI Services companies can create new business processes based on simple text line inputs, such as - "Create a new customer onboarding process for a large size Retail Bank" >> [Invent] - and ingest the auto-generated application model directly to the HyperAutomation Cloud engine without writing a single line of code or using a visual process editor. Responding to a customer email – even if it is complex, contains multiple requests, needs interaction history and contextual awareness – is now easier than ever. Eccentex customers can leverage the incredible AI powered Auto Responder feature to create a fully personalized answer to any email or text input in any language in only a few seconds. Back Office agents can handle more requests, answer more questions, resolve complex issues faster and with less errors. The platform level Eccentex AI services can be embedded in many different use cases from case management, sentiment and intent analytics, knowledge management, interaction personalization, sensitive personal information masking, key data extraction, agent assistance, fraud prevention, and so on. Eccentex HyperAutomation Cloud is a platform that can be easily integrated with 3rd party applications or customer owned / homegrown systems through platform level open APIs. HyperAutomation Cloud is equipped with out-of-box and easily customizable adapters that can help speed up and simplify integrations. About Eccentex Eccentex delivers cloud-based Business Automation capabilities to customers of all sizes across all industries for customer service modernization, journey orchestration and back-office automation. Eccentex's flexible and unified HyperAutomation Cloud platform empowers businesses to rapidly deploy, easily extend and effortlessly change business applications to meet their strategic goals and keep up with the ever-changing customer needs. Throughout its history, Eccentex has delivered award-winning capabilities in Dynamic Case Management and Business Process Automation to help the world's leading brands and government entities to achieve breakthrough results in the short term. With Eccentex, businesses can achieve their Digital Transformation goals without sacrificing human centricity. Customers will enjoy the new automated process and self-service experiences while brand employees will be better motivated and freed up from boring, repetitive tasks.

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