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Morgan Stanley’s gen AI launch is about global analysis

CIO

It will mean, in theory, that Morgan Stanley management can see analysis of every call made across the enterprise — often within a few minutes of that call’s completion. It is going to make their data analysis far better. Are people saying what corporate wants them to say? What are clients emphasizing — or ignoring? Richter asked.

Analysis 301
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Solve Intelligence helps attorneys draft patents for IP analysis and generation

TechCrunch

Among them is a startup called Solve Intelligence, which builds AI software specialized for patent attorneys to write drafts for IP analysis and generation. Many legal tech startups streamline manual workflow for lawyers, and some legal tech companies provide tech solutions centered around intellectual property (IP). All rights reserved.

Analysis 271
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Salesforce Data Cloud updates aim to ease data analysis, AI app development

CIO

Salesforce is updating its Data Cloud with vector database and Einstein Copilot Search capabilities in an effort to help enterprises use unstructured data for analysis.

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Sentiment Analysis in Python – A Quick Guide

The Crazy Programmer

Sentiment analysis is considered one of the most popular strategies businesses use to identify clients’ sentiments about their products or service. But what is sentiment analysis? telecom, retail, finance) are the ones who heavily use sentiment analysis. How does Sentiment Analysis Work? Tokenize The Data .

Analysis 173
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How ZoomInfo Enhances Your Database Management Strategy

Download this ebook to learn how to maintain a strategy that includes refreshed information, database cleanses, and an accurate analysis at the same time. Forward-thinking marketing organizations have continuously invested in a database strategy for enabling marketing processes.

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Serverless NLP: Implementing Sentiment Analysis Using Serverless Technologies

Dzone - DevOps

In this article, I will discuss building a sentiment analysis tool using AWS serverless capabilities and NLTK. I will be using AWS lambda to run sentiment analysis using the NLTK -vader library and AWS API Gateway to enable this functionality as an API.

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How to Overcome Analysis Paralysis

thoughtLEADERS, LLC

Try these three tips to overcome “analysis paralysis.” A big barrier to executing initiatives is analysis paralysis. By understanding the risks you face and making appropriate trade-offs between timeliness and accuracy effects, you can speed up execution and break through analysis paralysis.

Analysis 113
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How to Democratize Data Across Your Organization Using a Semantic Layer

Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale

Join this webinar panel for practical advice on how to build and foster a data literate, self-service analysis culture at scale using a semantic layer.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Software Composition Analysis: The New Armor for Your Cybersecurity

Speaker: Blackberry, OSS Consultants, & Revenera

Without establishing Software Composition Analysis best practices and the ability to produce a Software Bill of Materials, companies are most likely leaving a gaping hole in their software supply chain for bad actors to slip in and take advantage of vulnerabilities.

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How Real-Time AI Will Transform the Call Center

Speaker: Scott Stephenson, Co-Founder, CEO Deepgram

Real-time speech transcription, analysis, and enablement are now a reality. Post-call analysis and selective call auditing has brought you more information and insights on your customers, but what can you do with real-time transcriptions for all your calls?

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Assessing the Five Styles of Enterprise Business Intelligence

Discover the five styles of reporting and analysis, and learn the pros and cons of each in an enterprise scenario. The world of BI and analytics has evolved.

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Pressure Points: How to Ensure Your B2B Pipeline Passes Inspection

you’ll see what we mean in this eBook) more revenue through data-driven prospecting, stage analysis, and subsequent sales enablement. This eBook highlights best practices for developing a pipeline management process that helps sales leaders and their team C.L.O.S.E

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How to Operationalize Data From Multiple Sources to Deliver Actionable Insights

Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale

Extending analysis-ready data to all of your business stakeholders at scale. Leveraging metadata (labels, annotations) for deep dimensional analysis. In this webinar, you will learn about: Blending various high quality third-party datasets with internal data.

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What is Contextual Analytics? The Next Evolution of Embedded Analytics

Why contextual analytics is a game-changer for deeper insights and analysis This whitepaper will help you understand: What contextual analytics can do to elevate the value of your application. How contextual analytics fuses user workflow and analytics together for seamless BI.