Remove Engineering Remove Machine Learning Remove Structured Data
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How Agentic AI in Auto Finance Will Shake Up the Industry

Lightico

Yet these traditional AI tools are often constrained by rigid rulesets or prebuilt machine-learning models that excel in well-defined tasks. Rather than requiring each new scenario to be painstakingly coded, agentic models leverage expansive training data (in the form of foundation models) to adapt to new situations.

Finance 52
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Sprinklr named to IDG Insider Pro and Computerworld’s 2021 list of 100 Best Places to Work in IT

Sprinklr

Employees have the opportunity to work with the core of Sprinklr’s technology — our proprietary AI engine built with sophisticated deep machine learning algorithms. At any given instance, this AI engine processes millions of unstructured and structured data points ingested from myriads of channels and software applications.

CXM 96
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Text Analytics vs Sentiment Analysis: Key Differences & Applications

SurveySensum

Machine Learning Models : Training algorithms on labeled datasets to predict sentiment based on language patterns. Both Work With Unstructured Data : Both text and sentiment analysis deals with unstructured customer data and feedback, such as texts, emails, surveys, social media conversations, online reviews, etc.

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Speech Analytics and AI Is a Winning Combination

DMG Consulting

Speech analytics is getting a new lease on life courtesy of artificial intelligence (AI), machine learning, and the digital transformation. These applications are being pushed to the next level by more advanced AI-enabled technologies, like supervised, semi-supervised, and unsupervised machine learning and predictive analytics.

AI 48
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Catch up with New at Intercom, our fall product launch event

Intercom, Inc.

For the past year, our product and engineering teams have been building game-changing features that will help you manage inbound support volume, make your work faster and easier, provide a high-quality customer experience, and help your customers get the most out of your product. For example, we have a space called home that you see here.

Start-ups 118
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CaliberMind Offers B2B Orchestration with a Twist

Customer Experience Matrix

The system can accept feeds from major advertising systems ( GoogleAdwords , Bing , Facebook Ads ), from Web analytics ( Google Analytics , Mixpanel ), and various data stores ( MySQL , Amazon Redshift and S3 , MongoDB , Apache Hive , etc.). CaliberMind has embedded a third-party data load and transformation tool to manage such inputs.

B2B 48
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It's CDP Time for Marketing Cloud Vendors

Customer Experience Matrix

Data warehouses are largely limited to structured data. Data lakes are not unified or easily accessible to non-technical users. Data Management Platforms are limited to summary data about mostly anonymous individuals. CRM and marketing automation systems don’t easily combine data from external sources.