AI TECH

DataRobot Propels Intelligent Business Forward with Launch of “DataRobot AI Cloud”

DataRobot | September 14, 2021

DataRobot today unveiled DataRobot AI Cloud, a unified environment built for the next generation of intelligent business. DataRobot AI Cloud serves as a single platform to accelerate delivery of AI to production for every organization. DataRobot also announced new features and capabilities for DataRobot AI Cloud to enhance operations in production and easily build AI-powered applications to deliver critical business insights.

DataRobot AI Cloud is designed for today’s challenges and opportunities facing organizations. The end-to-end platform brings together disparate data and users, spanning expert data scientists to IT operators to business analysts, through enhanced collaboration and continuous optimization across the entire AI lifecycle. Built as a multi-cloud platform, DataRobot AI Cloud enables organizations to run on any combination of public clouds, data centers, or at the edge, with governance to protect and secure your business.

DataRobot AI Cloud delivers unique advantages to organizations:
  • Single platform for all users, unifying data scientists, analytics experts, IT and the business
  • Single view of all data from any source, any type
  • Unified, end-to-end platform across the AI lifecycle
  • Clear and trusted business outcomes
  • Deployed and operated at scale on any cloud, in the data center, and at the edge
  • Modular and extensible, building on existing investments in applications, infrastructure, and IT operations systems

“AI will reshape every industry, every business service, every customer interaction,” said Dan Wright, CEO of DataRobot. “DataRobot AI Cloud captures insights and learnings from years of technological innovation and partnering closely with our customers, enabling users of all skill sets to deliver more models, faster, and drive unprecedented business value with AI.”

Organizations are under growing pressure to transform the volumes of data captured by their systems into valuable insights that drive impact across all levels and lines of business. But the reality is that success with AI often falls short: 87% of organizations struggle with long deployment cycles, according to an upcoming report by Algorithmia.

DataRobot is one of the most widely deployed and proven AI platforms in the market today, delivering over a trillion predictions for leading companies around the world. The company works across all industries and verticals, including a third of the Fortune 50. Customers like Anheuser-Busch InBev (AB InBev) Europe — the world’s largest brewer and owner of Budweiser, Stella Artois, and Corona — rely on DataRobot’s integrated platform for strategic planning and operational decision-making.

"DataRobot's platform allows us to make better insight-driven business decisions on a global scale," said Renato Piai, Commercial and Consumer Analytics Director, AB InBev Europe. "Understanding and engaging with our customers and forecasting demand as we look ahead is imperative. DataRobot provides cutting-edge AI technology for AB InBev to remain agile in a complex and rapidly-shifting market."

This launch includes groundbreaking new features and capabilities to manage AI at scale in production and enable AI-driven decisions across all lines of business, all within a single platform:
  • First-of-its-kind Decision Intelligence to make AI accessible to front-line decision makers, including pre-built use case solutions accelerators to quickly get started with the most popular AI use cases, and new capabilities to automate and scale predictions with Decision Intelligence Flows
  • Powerful new tools for code-first data science experts, including Composable ML, enhanced cloud-hosted notebooks, and code-centric data pipelines
  • Continuous AI and bias monitoring for ML operators to optimize model performance after deployment and ensure fair and unbiased models in production, at scale

"The AI market is rapidly evolving, reflecting the changing needs of customers and increased demands for mission-critical intelligent business services," said Ritu Jyoti, Group Vice President, Worldwide Artificial Intelligence and Automation Research Practice Global AI Research Lead of IDC. "Our methodology for building and running AI has to meet these needs, to deliver a cloud fabric that connects diverse data and users with enhanced foresight into business decisions, deployed to any environment. DataRobot AI Cloud is uniquely positioned in the scope and scale it offers to meet these evolving opportunities and deliver a foundation for AI in the future."

DataRobot AI Cloud is powered by a strategic ecosystem of partners, enabling organizations to easily leverage existing technology investments and business applications to extend, integrate, and build upon DataRobot.

About DataRobot
DataRobot AI Cloud is the next generation of AI. The unified platform is built for all data types, all users, and all environments to deliver critical business insights for every organization. DataRobot is trusted by global customers across industries and verticals, including a third of the Fortune 50.

Spotlight

Recent Aberdeen research has uncovered that, on average, sales teams only achieve 55% of their company’s annual sales goal. Based on the performance ranges of all surveyed sales organizations, this result, in itself, should be alarming. Simultaneously, the top pressure cited by 44% of sales organizations is the ability to not on


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AI TECH, GENERAL AI, AI APPLICATIONS

Blueshift Launches AI Recommendations Recipes for Marketers

Blueshift | September 05, 2022

Blueshift, the leading Smart Hub platform for intelligent customer engagement, today announced at the company's Engage 2022 conference the launch of the industry's first collection of 100+ pre-built AI Recommendations Recipes for marketers. The new recipes, together with Blueshift's industry-leading Recommendations Studio, provide unparalleled ease of use for marketers for hyper-personalized customer engagement, enabling them to recommend content, products, and offers that are based on each customer's individual behavior, as well as the behavior of similar customers. Today's consumers demand personalization across all engagement channels and interaction touch points, and the use of AI has become key for marketers to successfully scale their efforts. In fact, studies show that marketing campaigns featuring AI recommendations are 116% more effective, driven by 22% higher click rates and 209% higher conversion rates. Over the last 12 months, marketers have hyper-personalized more than 10 billion messages using Blueshift's Recommendation Studio, which is built using patented technology. Furthermore, Blueshift customers have reported significant business results from using recommendations, including 131% higher sales and 384% higher lead volumes. "With today's release of AI Recommendations Recipes, we are excited to bring accessible AI directly in the hands of marketers. "We are empowering a new generation of marketers who are data artists, combining the art of marketing with the power of AI and data science." Manyam Mallela, Co-Founder and Chief AI Officer at Blueshift The new capabilities for AI Recommendations Recipes unveiled today empower marketers to: Get started quickly with 100+ pre-built AI marketing recipes: Marketers now have a great starting canvas, pre-loaded with configurations for common use cases like abandoned carts, newsletter feeds based on affinities, cross-merchandising based on the wisdom of the crowds, trending content or changes to catalogs, and more. These recipes can be easily edited to get the recommendations just right for each use case. Personalize each message using drag-and-drop simplicity: Once the recommendation scheme using out-of-the-box recommendation recipes have been built, marketers can use a newly released drag-and-drop interface to insert them into emails, SMS, push notifications, in-app messages, or any creatives for their campaigns. Additionally, it's easy to suppress repetitive recommendations and to include seasonal and business promotions alongside predictive content. Analyze and optimize with advanced reporting: New in-depth reporting on advanced recommendation analytics enables marketers to optimize campaigns by using the best-performing recommendations, while also gaining visibility into which items are being recommended to each user and which ones users are engaging with. Retailers, ecommerce providers, and digital media and over-the-top (OTT) companies are especially poised to benefit from these new capabilities provided by AI Recommendations Recipes. For instance, retailers can design customer journeys with highly relevant content and recommendations in real time based on the shopper's affinities, search and browse activity and purchase history. Streaming service providers can use advanced AI to precisely match millions of viewers with hundreds of thousands of media content catalog items and engage them with daily content feeds that are auto optimized based on prior activity. About Blueshift San Francisco-based Blueshift helps brands deliver relevant, connected experiences across every customer interaction. The Blueshift cross-channel marketing platform uses patented AI technology to unify, inform, and activate the fullness of customer data across all channels and applications. Through unified data, cross-channel orchestration, intelligent decisioning, and unmatched scale, Blueshift gives brands all the tools they need to seamlessly deliver 1:1 experiences in real-time across the entire customer journey. Blueshift has been recognized in the 2021 Deloitte Technology Fast 500™ list as one of the fastest growing technology companies in North America.

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AI TECH, GENERAL AI

Run:ai Certified to Run NVIDIA AI Enterprise Software Suite

Run:ai | September 22, 2022

Run:ai, the leader in compute orchestration for AI workloads, today announced that its Atlas Platform is certified to run NVIDIA AI Enterprise, an end-to-end, cloud-native suite of AI and data analytics software that is optimized to enable any organization to use AI. "The certification of Run:AI Atlas for NVIDIA AI Enterprise will help data scientists run their AI workloads most efficiently. "Our mission is to speed up AI and get more models into production, and NVIDIA has been working closely with us to help achieve that goal." Omri Geller, CEO and co-founder of Run:ai With many companies now operating advanced machine learning technology and running bigger models on more hardware, demand for AI computing chips continues to grow. GPUs are indispensable for running AI applications, and companies are turning to software to reap the most benefit from their AI infrastructure and get models to market faster. The Run:ai Atlas Platform uses a smart Kubernetes Scheduler and software-based Fractional GPU technology to provide AI practitioners seamless access to multiple GPUs, multiple GPU nodes, or fractions of a single GPU. This enables teams to match the right amount of computing power to the needs of every AI workload, so they can get more done on the same chips. With these capabilities, Run:ai's Atlas Platform lets enterprises maximize the efficiency of their infrastructure, avoiding a scenario where GPUs sit idle or use only a small amount of their power. "Enterprises across industries are turning to AI to power the breakthroughs that will help improve customer service, boost sales and optimize operations," said Justin Boitano, vice president of enterprise and edge computing at NVIDIA. "Run:ai's certification for NVIDIA AI Enterprise provides customers with an integrated, cloud-native platform for deploying AI workflows with MLOps management capabilities." Run:ai creates fractional GPUs as virtual ones within available GPU framebuffer memory and compute space. These fractional GPUs can be accessed by containers, enabling different workloads to run in these containers — in parallel and on the same GPU. Run:ai works well on VMware vSphere and bare metal servers, and supports various distributions of Kubernetes. This certification is the latest in a series of Run:ai's collaborations with NVIDIA. In March, Run:ai completed a proof of concept which enabled multi-cloud GPU flexibility for companies using NVIDIA GPUs in the cloud. This was followed by the company fully integrating NVIDIA Triton Inference Server. And in June, Run:ai worked with Weights & Biases and NVIDIA to gain access to NVIDIA-accelerated computing resources orchestrated by Run:ai's Atlas Platform. About Run:ai Run:ai's Atlas Platform brings cloud-like simplicity to AI resource management - providing researchers with on-demand access to pooled resources for any AI workload. An innovative cloud-native operating system - which includes a workload-aware scheduler and an abstraction layer - helps IT simplify AI implementation, increase team productivity, and gain full utilization of expensive GPUs. Using Run:ai, companies streamline development, management, and scaling of AI applications across any infrastructure, including on-premises, edge and cloud.

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AI TECH, SOFTWARE, FUTURE TECH

SugarCRM Recognized as a Best Enterprise CRM Software and Solution for the Second Year Running in the 2022 CRM Industry Leader Awards

SugarCRM | September 07, 2022

SugarCRM, today announced that it has been recognized as a Best Enterprise CRM Software and Solution for the second year running in the 21st annual CRM Industry Leader Awards program honoring the best CRM solutions and innovators. Sugar also was named a winner in the Best Sales Force Automation Software and Solution and Best CRM for Midsize and Small Businesses categories. CRM magazine’s September 2022 issue provides an overview of the top five solution winners in each category. The CRM Industry Leader Awards honor the leading providers in 11 categories pointing the way forward with the best products and capabilities hitting the market in customer service, marketing, and sales. Each year, CRM magazine’s panel of expert analysts and consultants are asked: If you had to recommend a CRM solution to a loyal client, which would you choose, and why? SugarCRM’s award-winning achievements include: Best Enterprise CRM Software and Solution: Sugar Enterprise is ideal for companies that require comprehensive CRM capabilities in an on-premises solution for maximum control that also supports any level of tailoring to fit business needs. In CRM’s editorial, Marshall Lager, Independent CRM Industry Analyst and Consultant, says “Flexibility and adaptability are how Sugar fought its way into the large enterprise game, and it still possesses these qualities.” In addition, Rebecca Wettemann, Founder and CEO of Valoir, agrees, saying “Sugar has arguably operationalized its [AI] technology better than any other major vendor and really does let the platform do the work.” Best CRM for Midsize and Small Businesses: Sugar has deep roots in addressing the unique needs of midmarket companies thanks to its emphasis on low-code, no-code platform capabilities that make it easy for small and medium businesses to build and customize sales, marketing, and service workflows. Wettemann calls Sugar “an attractive option” for midmarket customers, and Lager says: “The same things that make Sugar a good fit for larger enterprises shine even brighter down market,” adding that Sugar “has done well in embracing the idea of the platform, with coordinated apps and a wealth of integrations.” Best Sales Force Automation Software and Solution: According to CRM’s panel of expert analysts and consultants, Sugar Sell is hailed as the hands-down favorite among companies looking for lower-cost alternatives that don’t lock them into long-term deals. Jim Dickie, Research Fellow at Sales Mastery, says, “For companies looking to tailor an SFA system to their unique needs, Sugar Sell offers a high degree of customization.” In addition, Kate Leggett, Vice President and Principal Analyst at Forrester Research, applauds Sugar Sell for “providing consistent, easy-to-use experiences for sales teams.” “It’s a great honor to once again be named a CRM Industry Leader by CRM’s distinguished panel of expert analysts and consultants. “Sugar is the choice of businesses, both large and midsize, desiring an AI-fueled and data-driven CRM platform that unites sales, marketing, and service to support business growth.” Craig Charlton, Chief Executive Officer, SugarCRM Sugar is at the forefront of harnessing artificial intelligence (AI), machine learning (ML), and predictive analytics to make the hard things easier for sales, marketing, and service teams by letting the platform do the work. Sugar has made significant investments to bring the SugarPredict AI engine to its entire platform portfolio, pioneering pre-configured, out-of-the-box AI for all that drives value from Day One. At the same time, its no-code, low-code tools and capabilities put change in the hands of non-technical business users. About SugarCRM SugarCRM is how marketing, sales, and service teams finally get a clear picture of each customer to help businesses reach new levels of performance and predictability. Sugar is the CRM platform that makes the hard things easier.

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AI TECH, GENERAL AI

Empower AI Launches AI Solution Set to Supercharge Digital Transformation Initiatives

Empower AI | September 13, 2022

Empower AI (formerly NCI Information Systems), a leading provider of artificial intelligence and other technologies to U.S. government agencies, today announced that it has launched a set of new AI solutions that will provide federal technology leaders with the power to swiftly transform existing programs into future-ready systems. The AI solution set, called Empower AI Develops, leverages natural language processing, machine learning, and hyperautomation capabilities to rapidly analyze and define the current state of an agency’s IT systems, including existing or future computer code. It then provides precise guidance on the best path forward to accelerate accurate and secure development with AI in an immersive experience that augments and enhances human developers. As a result, Empower AI Develops accelerates rapid modernization while minimizing disruption and risk for federal agencies. “One of the biggest concerns we hear from our federal customers is the volume of code, the lack of documentation, and the potential vulnerabilities in their IT systems. “Every agency has a challenge, to some degree, with legacy code built by many generations of developers and methodologies. Over time, security methods that were used in that code become vulnerable or provide other risks, which can lead to poor performance or even larger concerns.” Paul Dillahay, president and CEO of Empower AI To address this challenge and others facing federal IT leaders, Dillahay said Empower AI technologists wanted to create a solution that enabled federal leaders to quickly understand the complete picture of their assets and vulnerabilities in their own environment, and then use AI to help them analyze and develop new code in a fraction of the time and cost it would take human developers, while decreasing the risk introduced by traditional modernization efforts. “This set of solutions will help federal technology leaders accelerate their modernization initiatives by shortening software development cycles to minimize disruption and risk,” Dillahay said. The Empower AI Develops product suite includes: Code Analyzer: Uses natural language processing (NLP), machine learning, and a set of proprietary algorithms to perform a comprehensive analysis and report on any existing code. Code Programmer: Reviews and ingests any existing codebase using DevSecOps methodology. Once the codebase has been evaluated and documented, the AI Code Programmer tools generate refactored, object-oriented code and/or entirely new code from natural language function descriptions. Infrastructure Developer: Creates code with seamless integration into the continuous integration / continuous development pipeline, allowing for connections into help desk applications, as well as DevSecOps components and other CI/CD pipeline software while integrating approved static and variable security tools. Dillahay noted that additional solutions in the Empower AI Develops product suite are being tested now that will help federal leaders on other legacy code challenges, including code refactoring and story programming. All elements of the new product will help federal IT leaders elevate their mission-critical programs using proven AI technologies at scale. “In addition to helping agencies modernize their code and documentation quickly, these solutions will also help agencies realize gains from investments they’ve made in the cloud or other security enhancements,” Dillahay said. “We’re really looking forward to helping them advance their missions and performance in a cost-effective way.” About Empower AI Empower AI is AI for government. Empower AI gives federal agency leaders the tools to elevate the potential of their workforce with a direct path for meaningful transformation. Headquartered in Reston, VA, Empower AI leverages three decades of mission experience solving complex challenges in Health, Defense, and Civilian missions. Their proven Empower AI Platform provides a practical, sustainable path for clients to achieve transformation that is true to who they are, what they do, and how they work, with the resources they have. The result is a government workforce that is exponentially more creative and productive.

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Spotlight

Recent Aberdeen research has uncovered that, on average, sales teams only achieve 55% of their company’s annual sales goal. Based on the performance ranges of all surveyed sales organizations, this result, in itself, should be alarming. Simultaneously, the top pressure cited by 44% of sales organizations is the ability to not on

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