In the news this week: IBM launches a new AI-based solution to help brands identify influencers, a new deep learning product for sentiment analysis, and more.
Keeping pace with news and developments in the real-time analytics market can be a daunting task. We want to help by providing a summary of some of the items our staff came across each week. Here is a short list of some news from this week:
IBM announced the launch of Watson Advertising Social Targeting with Influential, a new solution that harnesses artificial intelligence (AI) to help brands identify influencers that best align with their brand values. The new solution within the Watson Advertising suite of targeting products marks an expanded collaboration with Influential, provider of advanced social media technology. As brands shift advertising tactics in an increasingly fluid landscape, the social targeting tool can help brands communicate with an audience.
Harnessing the power of Watson to help clients make data-driven decisions that foster connections with consumers, Social Targeting with Influential:
- Leverages IBM Watson Natural Language Understanding on the IBM public cloud to process and analyze social media data to help expedite influencer identification
- Identifies brand-safe influencers by gauging profanity ratings to recommend potential partners with shared values
- Marries online behavior with offline purchase to help drive ROI based on real-time campaign measurement across brand perception, consumer engagement, online conversion, offline sales, and foot traffic
- Delivers tone appropriate ads to real people at the right time to help drive engagement.
FortressIQ, the company delivering end-to-end process insights for the modern enterprise, and Signavio, provider of business transformation solutions, announced a strategic partnership that delivers comprehensive process intelligence across the enterprise. Together, Signavio and FortressIQ provide a top-down and bottom-up modeling, discovery, mining, governance, and monitoring framework for all processes and tasks across an organization. With this joint solution, enterprise organizations looking to successfully achieve process transformation at scale no longer have to rely on disparate tools or manual approaches to accomplish their business transformation initiatives. Organizations now have the capacity to evaluate and prioritize improvement opportunities and cost reductions quickly, leading to truly transformational outcomes.
Luminoso unveiled its new deep learning model for analyzing the sentiment of multiple concepts within the same text-based document. With Concept-Level Sentiment in Luminoso Daylight, businesses across industries will be able to upload any text-based document, and quickly receive a nuanced analysis of the author’s sentiment regarding the topics they wrote about. Luminoso’s new deep learning model understands documents using multiple layers of attention, a mechanism that identifies which words are relevant to get context around a specific concept as expressed by a word or phrase. This model can identify the author’s sentiment for each individual concept they’ve written about, as opposed to providing an analysis of the overall sentiment of the document. Using Concept-Level Sentiment, users will be able to effectively analyze mixed feedback, quickly surface buried feedback, intuitively aggregate concept sentiment across an entire dataset, and analyze customer and employee feedback across multiple languages.
Expert System announced the release of the expert.ai NL API, the cloud-based Natural Language API that enables data scientists, computational linguists, knowledge engineers, and developers to easily embed advanced Natural Language Understanding and Natural Language Processing capabilities (NLU / NLP) into their applications. According to the first phase of the Company Path to Lead plan, the expert.ai NL API release is the first step in executing on the company’s strategy to become the global platform of reference for AI-based Natural Language problem-solving. The free expert.ai NL API provides state-of-the-art natural language understanding capabilities based on Expert System’s unique symbolic approach that leverages AI-based algorithms, machine learning, and knowledge graph to provide advanced features for reading and understanding any text, out of the box. As a result, the implementation of intelligent applications can be improved in an agile way to automate knowledge-driven processes and gain new insights from language to support decision making and optimize business results.
Stratifyd announced the launch of its next-generation platform. This powerful analytics engine was re-designed from the ground up to be intuitive and easy-to-use, enabling business users – regardless of education, skill, or job function – to harness the power of proprietary and third-party data to easily reveal and understand hidden stories represented within the data, thus delivering the benefits of a data science team to every organization. The Stratifyd platform now provides the functionality to meet the demanding data science needs of an organization but is specifically designed to be easy to use for those with limited data analytics experience. It empowers users of all skill levels to connect data sources to the platform, perform in-depth analysis and data modeling, and discover insightful stories faster and more easily than previously possible. Through a graphical user interface, pre-built and customizable data analytics models, and simplified dashboards, the platform enables business users to extract insights (i.e., stories) that are hidden in the data and essential in helping companies improve customer service, better understand customer requirements, deliver product enhancements that address gaps in the market, solve problems experienced by customers, roll out new product and service offerings that deliver a competitive advantage, and more.
Scalyr announced the industry’s first Event Data Cloud, a solution built and optimized to be the analytics engine beneath other companies’ cloud services and custom applications. Event data is the most granular and accurate view of a digital system or service and explodes as companies migrate from monolithic to modern stacks. Analyzing this data, affordably, has become a significant challenge for many organizations that use the data to power their SaaS services. With the introduction of the event data cloud, Scalyr provides two ways to tap the power of its event data analytics service: through Scalyr’s own user interface, designed for log analytics and incident management, or behind the UI of other services that need to access and analyze event data at scale. Both solutions are powered by Scalyr’s cloud-native, no-index architecture, that thrives on messy data and chaos at scale.
NICE announced the launch of Real-time Interaction Guidance, a solution powered by its AI platform ENLIGHTEN. The new solution, based on predictive behavioral models for real-time interaction guidance, accurately and automatically determines and scores the unique agent behaviors that directly drive customer satisfaction. NICE ENLIGHTEN has analyzed billions of interactions from many of the world’s largest organizations for the most critical use cases and business outcomes. With its out-of-the-box models, ENLIGHTEN can accurately identify complaints, detect fraud, identify sales opportunities, and measure churn risk based on the behavioral patterns of consumers and agents. A deep understanding of behavioral patterns eliminates human errors and subjectivity and ensures quick identification and resolution of mission-critical issues. Real-time Interaction Guidance with NICE ENLIGHTEN provides contact center employees in organizations of any size and sector with real-time guidance on how to steer customer conversations with clear visualization and resolution to drive superior service excellence, even in remote environments.
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In case you missed it, here are our most recent previous weekly real-time analytics news roundups:
