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Maor’s-Part-AWS-Hebrew-recording
LendIt Webinar – Reduce Financial Risk With The Right Alternative Data
Risk officers and analysts across financial services companies and banks are realizing that risk modeling in 2021 requires better data. Even the most sophisticated machine learning models are insufficient without the most relevant risk signals, pulled from thousands of external data sources.
Webinar – The Need for External Data
“It’s clear that organizations are taking external data acquisition very seriously, allocating a significant budget for this task. In 2020, 81% of companies spent more than $100k each month on external data acquisition, and 31% spent more than $500k. These numbers only paint part of the total investment picture since almost half of the respondents […]
Behind the innovation. AWS, Melio, and Explorium panel discussion.
Melio developed an innovative B2B payment workflow that helps businesses save time and improve cash flow. Melio partnered with Explorium and AWS and used Explorium’s unique data enrichments to help them scale up rapidly and instantly prioritize who the right potential customers are.
Power Your BI & ML with External Data, Pain Free!
Organizations across the industry realize that access to external or alternative data is key to their competitive advantage and business success. They are looking for ways to connect to the broader data ecosystems to improve their analytics, machine learning, and decision-making.
Connecting the world’s data to solve your most complex problems
Explorium External Data Platform in action.
AWS Startup Showcase – Rethinking External Data
Explorium External Data Platform
The Role of External Data in ML and BI Success. And, How to Easily Access it.
Access to external or alternative data can give significant uplift to your predictive and ML models. External data is becoming a significant competitive advantage for companies across FinTech, Insurance, CPG, Retail, or eCommerce. By connecting to broader data ecosystems, companies are improving their analytics, machine learning, and decision-making. Source: Intelligent Data Summit: Integration Developer News.
Explorium External Data Platform
One platform to access thousands of data signals automatically for your BI and ML models. Built for Data Scientists, Analysts and Business Leaders.
Ai4 Panel- Banking, Risk Management, & AI
Understanding and managing risk is crucial for banks to come out on top. As banking becomes more data driven, AI is playing a powerful role in determining the methods and extent to which banks comprehend and handle their risk across a variety of areas and functions, including credit risk, operational risk, market risk and liquidity […]
External Data for Consumer Goods: The Definitive Playbook
In this eBook we propose 10 questions that you should ask before starting on your external data acquisition journey. We also provide reference material to help you find the answers to those questions.
10 Questions to Ask Before Buying External (Alternative) Data
In this eBook we propose 10 questions that you should ask before starting on your external data acquisition journey. We also provide reference material to help you find the answers to those questions.
The Business Value and Benefits of External Data Platforms
External data platforms enable organizations to automatically discover and use thousands of relevant external data signals to improve analytics and machine learning programs.
How Data Scientists Can Get a Seat at the Strategy Table
How can you earn yourself a seat at the table when decisions are being made? It starts with making yourself accessible and invaluable. Read how you can get started now.
Using External Data to Future-Proof Your Organization and Ensure Success Today and Tomorrow
If the current economic crisis has shown the business world anything, it’s that no amount of data analysis can prepare you for the event of having the financial market flipping upside down.
Part Three – Making Sense of Deployment: Feature Engineering, Training, Testing, and Monitoring
Part three of our series gets technical with an in-depth look at the best ways to split your data for training, different testing methodologies, feature engineering, and monitoring.
Part Two – Making Sense of Data Prep: ETL, Wrangling, and Data Enrichment
In part two of our series, we cover ETL, data wrangling, and data enrichment so you can ensure your data is ready to give you the insights you need.