Algolia | June 07, 2022
In its Recommend Spring Release 2022, Algolia, the leading API-First Search & Discovery platform, introduced new AI (artificial intelligence) models and features. Algolia Recommend and Algolia Search, which process over 30 billion search requests every week, allow any modern business with an online presence to enhance their end-discovery user's journey by quickly linking them with the most relevant, actionable recommendations.
Algolia Recommend introduces powerful AI models that are powered by behavioral insights and are privacy-aware with this latest release. Customers can quickly put their most relevant and up-to-date material in motion for end-users thanks to Algolia's lightning-fast indexing capabilities. With its no-code/low-code tools, Algolia Recommend can be created and deployed in as little as four days. If developers want to fine-tune their implementation even further, they can dig behind the hood.
"As shoppers we have an expectation that there will be recommendations on category pages, PDPs (product detail pages), and checkout pages. It speeds up our discovery of the most relevant products, and for the brands themselves, it increases average order value, conversion rates, and repeat visitors. We're focused on having the best quality recommendations and making it easy for our customers to implement across their web properties. Algolia Recommend Spring Release 2022 helps organizations anticipate their users' wants and needs, and recommends the right content to reach them within milliseconds."
Bernadette Nixon, chief executive officer, Algolia
According to a recent Forrester Consulting Total Economic Impact research, Algolia's ranking algorithm boosted the relevance of search results by 40 percent to 50 percent, particularly among mobile customers.
"IDC expects the intelligent knowledge discovery software market to grow to $11.3 billion in revenue in 2025 with a CAGR of 26.4% over the next four years," said Hayley Sutherland, senior research analyst, Conversational AI and Intelligent Knowledge Discovery at IDC. "In this space, Algolia's Search and Discovery Platform, and particularly its Algolia Recommend Spring Release 2022, has the potential to play a significant role in unlocking previously 'hidden' data and making content available for organizational decision making."
Weights & Biases | June 28, 2022
A partnership has been announced between Run:ai, the industry pioneer in computing orchestration for AI workloads, and Weights & Biases (W&B), the premier developer-first MLOps platform. In order to give ML developers and MLOps platform owners a smooth experience for MLOps and GPU orchestration for machine learning and deep learning workloads, the cooperation will concentrate on establishing connectors between the two platforms.
"We are excited to partner with Run.ai to provide data scientists and ML practitioners the best tools for their ML development workflow. The combination of the developer tools provided by Weights and Biases, the dynamic allocation and orchestration of compute resources from Run.ai, and the optimized hardware and software provided by NVIDIA gives ML teams everything they need to accelerate the development and deployment of AI in the enterprise," said Seann Gardiner, VP of Business Development of Weights & Biases.
The collaboration will simplify AI initiatives for academics in the field as well as the MLOps and IT teams in charge of maintaining the infrastructure. The Weights & Biases MLOps capabilities, including experiment and artifact tracking, hyperparameter optimization, and collaboration reports, will be available to ML practitioners in a single interface, along with access to NVIDIA accelerated computing resources managed by Run:Atlas ai's Platform. The W&B dashboard will allow ML developers to track NVIDIA GPU usage, and they can then increase it by using Run:scheduling ai's and orchestration features. In addition, the MLOps platform owner will be able to provide a single ML system of record to maintain an accurate history of all ML experiments, model history, and dataset versioning. They will also be able to optimize GPU resource scheduling and consumption for ML practitioners.
"Run:ai and Weights & Biases together give data scientists, and the IT teams that support them, a complete solution for the full ML lifecycle, from building models, to training and inference in production. Companies building their AI infrastructure and tooling from scratch can use NVIDIA GPUs, Run:ai, and W&B and have everything they need to manage AI initiatives at scale."
Omri Geller, CEO and co-founder of Run:ai
The collaboration between Weights & Biases and Run:ai will significantly help ML academics and businesses using NVIDIA GPUs. As software partners for NVIDIA DGX-Ready and NVIDIA AI Accelerated, Run:ai and W&B have both received validation. In order to assist businesses to get the most out of their investment in NVIDIA-accelerated systems for ML and AI, the cooperation will build on connections between W&B and Run.ai with NVIDIA AI Enterprise software.
XSELL Technologies | August 09, 2022
XSELL Technologies, a leader in conversational AI for contact center agent optimization, announced that XSELL Agent Experience powered by VoiceStream is available on the Five9 CX Marketplace, empowering customers to amplify top performer outcomes across their contact centers. Leveraging the strength of Five9 cloud contact center solutions, the partnership makes it easy for businesses to integrate XSELL Agent Experience with the Five9 Intelligent Cloud Contact Center.
Working together, Five9 and XSELL partnered to deliver real results to a healthcare customer, in the form of $6.9 million in annual incremental profit, an 11% increase in conversion rate and a 52% increase in appointments booked by agents. Read more in the just-published case study: “Health Insurance Provider Uses AI Conversion Maps to Drive Patient Acquisition, Engagement, and Retention with Care at Home.”
“We are delighted to bring the power of XSELL Agent Experience to Five9 CX Marketplace to support organizations in their pursuit of a better customer experience while delivering results that matter.”
Matt Coughlin, Founder and CEO, XSELL Technologies
The Five9 platform facilitates billions of call minutes annually and provides digital engagement, analytics, workflow automation, workforce optimization, and practical AI to create more human customer experiences, engage and empower contact center agents, and deliver tangible business results. XSELL’s AI-powered technology takes a data-driven approach to consistently delivering top performer outcomes by identifying and replicating specialized skill sets, with precision and at scale, across every agent, enterprise-wide. With XSELL Agent Experience, businesses can access AI-generated guidance to improve their customer and agent experience in real-time across the enterprise, driving tangible results like increased NPS scores, decreased Average Handle Time (AHT), and increasing Speed to Proficiency.
“Five9 is committed to delivering AI solutions that improve the customer and agent experience, and we are excited to work with partners like XSELL who want to build on our VoiceStream platform to deliver additional innovation and use cases with that same goal in mind,” said Jake Butterbaugh, SVP Global Partner Sales, Five9.
XSELL Technologies is sponsoring Five9 CX Summit, taking place Aug. 9-11 at the Aria Resort & Casino in Las Vegas, and will demonstrate XSELL Agent Experience in the CX Hub at the event. Five9 CX Summit is the #1 cloud contact center conference dedicated to making CX work for real life. Learn more about the event, including how to register, here.
About XSELL Technologies
XSELL Technologies was founded on the belief that the behaviors of the best contact center agents could be learned, replicated, and amplified to every agent in real-time to transform the way that businesses interact with their customers. Today, the XSELL team is partnering with Fortune 50 customers to drive quantifiable improvements in sales results, service metrics, agent engagement, and the overall customer experience.