Fri.Mar 29, 2019

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Salesforce Enlists Einstein to Bolster Its Analytics Muscle

David Menninger's Analyst Perspectives

I am happy to offer some insights on Salesforce.com drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

Analytics 135
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How to Achieve Consistent Quality in AI

DataRobot

AI has tremendous potential for benefiting humanity in every area of how we live and work. While most people realize this fact, their hopes for AI also come with a note of caution. A recent survey reported that 77% of Americans expressed that AI would have a “very positive” or “mostly positive” impact on how people work and live in the next 10 years.

Reporting 106
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Data Lakes on Cloud & it’s Usage in Healthcare

BizAcuity

Data lakes are centralized repositories that can store all structured and unstructured data at any desired scale. Data can be stored as-is, without first structuring it, and different types of analytics can be run on it, from dashboards and visualizations to big data processing, real-time analytics, and machine learning to improve decision making. The power of the data lake lies in the fact that it often is a cost-effective way to store data.

Data Lake 102
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NLP Learning Series: Part 4 - Transfer Learning Intuition for Text Classification

MLWhiz

This post is the fourth post of the NLP Text classification series. To give you a recap, I started up with an NLP text classification competition on Kaggle called Quora Question insincerity challenge. So I thought to share the knowledge via a series of blog posts on text classification. The first post talked about the different preprocessing techniques that work with Deep learning models and increasing embeddings coverage.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Bringing automation and intelligence to data catalogs

IBM Big Data Hub

Announcing IBM Watson Knowledge Catalog, where users can re-imagine the processes required to support an intelligent data catalog infused by AI.

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AI Trends Are Improving The Financial Industry and How!

bridgei2i

From the days of bartering to maneuvering blockchain and cryptocurrency, we’ve come a long way with how money has evolved and there’s still much farther to go. With the AI boom, boundaries are being broken, and there’s no saying when a new technology will join the club and rule the roost. The Banking and Financial Services Industry (BFSI) has always been a progressive one – we had the ATM machines replace bank personnel, we had digital wallets replace manual transactions and bank-to-bank t

Risk 61
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Transitioning from data scientist to data science leader

Insight

Insight Fellows in New York. Over the last three years, I’ve worked with more than 500 Insight Fellows , coaching them as they transition to thriving industry careers in data science, data engineering, and artificial intelligence. Now, I’m setting my sights on helping Insight alumni continue to grow their careers, and one question that frequently comes up is, “How can I make the transition from an individual contributor to a leader?