GENERAL AI

Zenarate Launches Concurrent Chat Simulation to Develop Top-Performing Chat Agents

Zenarate | May 25, 2022

Zenarate
Zenarate , the industry's leading AI conversation simulation solution, today launched Concurrent Chat Simulation in Zenarate's AI Coach platform. It is the first AI simulation solution that allows contact center agents to practice handling multiple incoming chats from customers simultaneously. Training leaders can now empower agents to master high-impact chat topics with their personal unbiased Zenarate AI Coach simulating a customer while providing in-the-moment coaching.

According to data from Zendesk, customer satisfaction ratings for live chat (85%) are second only to phone support (91%). In addition to call simulations, Zenarate AI Coach brings AI chat simulation to leading contact centers in 12 languages to develop confident, well-prepared new hire agents before their first chat. It also helps close tenured chat agent skill gaps to increase agent speed proficiency and responsiveness in handling concurrent chat engagements.

Zenarate's AI Coach simulates any customer engagement scenario, voice or chat, immersing contact center agents in hyper-realistic conversations while providing them real-time coaching. Both voice and chat simulations use Natural Language Processing, allowing agents to use their own words without scripting, and Natural Language Understanding, generating real-time customer responses simulating a customer on any topic and persona.

"Adding concurrent chat simulation to AI Coach addresses the rising importance of real-time digital customer engagement and bolsters our overall contact center simulation training capabilities. Now agents can improve their confidence and remove their anxiety by mastering concurrent chat servicing with their personal unbiased AI Coach from home or office through our human-centered AI conversation simulation platform. And call center leaders can clearly assess agent readiness to handle multiple live chats with confidence."

Brian Tuite, founder and CEO of Zenarate

About Zenarate
Zenarate's AI Coach helps leading brands develop confident  top performing customer-facing teams through AI Conversation Simulation. Zenarate's AI Coach is used worldwide every day in over a dozen countries, including the U.S., Canada, Mexico, Philippines, India, and Europe and supports 12 languages. Zenarate Customers include 7 of the top 10 U.S. financial institutions, 3 of the top 5 BPOs, and leading companies in the healthcare, travel, technology, and services industries.

Spotlight

Big Data has generated much interest and attention in the media of late. Indeed, several authors have recently raised the question of whether Big Data approaches, such as Hadoop, will pronounce the death sentence on the conventional data warehouse.


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AI TECH,SOFTWARE,FUTURE TECH

Amelia Leads Again in Everest Group's Assessment of Conversational AI Vendors

Amelia | September 27, 2022

Amelia, the leading Enterprise Conversational AI software company, today announced that Amelia has been recognized as a Leader in Conversational AI in Everest Group's recent report, Conversational AI – Technology Vendor Landscape with Products PEAK Matrix® Assessment 2022. This marks the second consecutive year that Amelia has been recognized by Everest Group for its leadership in the Conversational AI market. For this PEAK Matrix® assessment, Everest Group evaluated the Vision & Capability and Market Impact of 26 global Conversational AI technology vendors, and then classified each company into one of three categories: Leaders, Major Contenders and Aspirants. Of the 26 vendors assessed, Amelia is named the Leader and placed in the highest overall position in Everest Group's PEAK Matrix®. In the report, Amelia is the only vendor to be listed amongst the top technology vendors for all major business functions, and leads in all major industries – including banking, telecom, healthcare and insurance. Everest Group also highlights Amelia's considerable experience working with global clients from across all industries as a notable strength. Amelia's omnichannel capabilities, sentiment analysis, agent-assist and built-in Orchestration Services are also all recognized as key advantages of the company's Conversational AI platform. "Buyers have also highlighted the cognitive capabilities of the platform, its partnership ecosystem, and the Amelia team's transparency as strength areas of the vendor," the report states. "There is no denying the critical role that Conversational AI continues to play for successful businesses, as evidenced by the exponential increase in adoption that we're observing across industries. As pioneers of this competitive landscape, one which we have pursued for more than two decades, we are honored and proud that for two years running, Everest Group has recognized Amelia as the clear Leader in Conversational AI." Chetan Dube, CEO of Amelia About Amelia Amelia is a leading Enterprise Conversational AI software company with a long history of innovation in automation and Conversational AI. We create fulfilling human experiences through groundbreaking AI solutions, as we enable conversational experiences, streamline IT operations, and automate processes. In 2014, we launched Amelia, the Most Human AI™; then in 2018, we introduced true end-to-end, enterprise-wide automation allowing enterprises to quickly optimize back-end operations. Amelia is consistently recognized by third-party analyst firms as a market leader. Headquartered in New York City with offices in 15 countries, Amelia's roster of client success stories speaks for itself: Our technology impacts more than 200 of the world's leading brands, including global leaders in banking, insurance, telecommunications, and other industries. See how Amelia is powering the Future of Work at amelia.ai.

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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

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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SOFTWARE,FUTURE TECH

Spice AI Raises $13.5 Million Seed Funding to Enable Web3 Developers to Build Data and AI-driven Applications

Spice AI | September 08, 2022

Spice AI today announced a seed round of $13.5 million for its platform that enables developers to build data driven applications for Web3. Madrona led the round with Australia based Blackbird Ventures, Basis Set Ventures, Alumni Ventures Blockchain Fund, Joe McCann’s new Asymmetric fund, Protocol Labs, IEX Fund, and other strategic angel investors participating, including Thomas Dohmke, CEO of GitHub, who is also joining the board. “Spice AI is building a developer first platform to create AI/ML-driven applications that harness time series data – a valuable yet difficult to harness data set for any organization. There is no ecosystem out there that is more data rich than Web3 and blockchains, but that area is currently hampered by lack of data access and infrastructure. Solving the data problem in Web3 requires deep domain knowledge and Spice AI is building the infrastructure, so developers do not have to deal with the complexity of building it themselves. Now is the time to build for Web3 and we are excited to be well capitalized to grow the team and address this gap in the market,” said Luke Kim, CEO of Spice AI. Web3 and Spice AI While most blockchains are public and open, extracting data from them to power apps and ML is painfully difficult. To get meaningful quantities of useful data, developers are forced to build and operate a massively complex infrastructure which includes blockchain nodes, big data systems, ETL and ML pipelines, data lakes, data warehouses, and query systems. Going one step further, developers must deeply understand the various data sources including virtual-machine logs, and the inner workings and state of smart contracts, across a broad array of blockchains, scaling layers, and dApps. Spice.xyz, brings this together in a platform that enables developers to access web3 data across chains via SQL over high-performance Apache Arrow APIs. The platform is available in Preview today with Bitcoin, Ethereum, and Ethereum Name Service (ENS) datasets with work in progress to launch Solana and Polygon. “Madrona has invested in machine learning infrastructure and intelligent applications for almost a decade. We see a massive opportunity for Spice AI to provide a developer-first framework and intelligent data sets that unlock insights in blockchain data and enable developers to create intelligent distributed Web3 applications. As part of the financing, Porter will join the Spice AI board along with Thomas Dohmke. Tim Porter, Managing Director at Madrona Deeply Developer Focused Founders Over the last 15 years, co-founder Luke Kim has brought together the best builders and engineers across the globe to create developer focused experiences through tools and technologies used by millions worldwide. Before founding Spice AI, Luke was the founding manager and co-creator of Azure Incubations at Microsoft where he led cross-functional engineering teams to create and develop technologies like Dapr. Co-founder Phillip LeBlanc has spent a decade building some of the largest distributed systems and big data platforms used by millions worldwide. Before co-founding Spice AI, Phillip was both an engineering manager and IC working on distributed systems at GitHub and Microsoft. Phillip has contributed to services developers use every day including GitHub Actions, Azure Active Directory and Visual Studio App Center. “Spice AI is building the foundational platform for Web3, so developers do not have to invest in standing up their own infrastructure and in data engineering that is complex and costly, and frankly, hard to get right. Delivering real time insights from time-series data across chains powers intelligent applications being built for a wide range of industries – from addressing buying patterns in e-tail/retail all the way to fraud detection and securities trading. Since our pre-seed investment, the team continues to impress us with the focus and pace of innovation as they build this infrastructure for Web3,” added Aseem Datar, Partner at Madrona. Spice AI is building an office in greater Seattle with a footprint in Asia and Australia. Check out the positions here - spice.ai/careers About Spice AI Founded in June 2021 by Luke Kim and Phillip LeBlanc, Spice AI creates technology to help developers build intelligent apps that learn and adapt. The company has raised 14.5 million in funding since 2021 and is backed by leading venture and angel investors.

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Spotlight

Big Data has generated much interest and attention in the media of late. Indeed, several authors have recently raised the question of whether Big Data approaches, such as Hadoop, will pronounce the death sentence on the conventional data warehouse.

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