Bitvore

A recent poll found that 60% of Americans view oil and gas companies as "completely or mostly responsible" for global warming. Find out more here, via The Hill: https://hubs.ly/H0-9qcZ0

Are activist investors about to change tech companies, too? Find out here: https://hubs.ly/H0-5jqg0

Phoenix adopts a roadmap to cut emissions and reach its net-zero goal by 2050 with a "comprehensive plan that includes water conservation and heat mitigation strategies." More here via KTAR News 92.3: https://hubs.ly/H0-0d0Q0

Mississippi’s capital city dumped more than 6 billion gallons (22.7 billion liters) of partly treated sewage into a river in 2020, seven years after signing a federal court agreement to clean up its act, court records show. More here via Wichita Eagle: https://hubs.ly/H0-02_90

New case study! Take a look to learn how ESG for Munis allows Bitvore to track the move towards sustainability in New York. https://hubs.ly/H0Z_6Ls0

The Cellenus ESG dataset is derived from more than 60K unique unstructured data sources, including both publicly available and licensed subscription sources: https://hubs.ly/H0JrW6T0

Business leaders are no longer able to ignore the potentially negative consequences associated with poor data quality: https://hubs.ly/H0JrXHP0

Our latest white paper will share lessons learned and provide guidance on how to create and tune a Natural Language model to detect ESG events from unstructured data sets. Download Now! https://hubs.ly/H0Jwfzj0

Yann LeCun showing off "LeNet 1" - A Convolutional Network Demo from 1993: https://hubs.ly/H0GnpTm0

We have created a new way to help businesses identify emerging opportunity and risk: https://hubs.ly/H0JrXwq0

Our real-time monitoring for ESG and Business Risks gives users tools to monitor and identify actionable data and trends for relevant portfolio companies. Read more here: https://hubs.ly/H0Gn8D-0

87% of machine learning projects never become projects. Here are the reasons why. https://hubs.ly/H0GkTPH0

Data timeliness SLAs. Report on Airbnb datasets, when should they be considered late, how frequently are they late, and why. via Medium: https://hubs.ly/H0Jlmnx0

Companies with a compliance checklist on AI ethics. via MIT Technology Review: https://hubs.ly/H0GjX2B0

A global consultancy was using multiple data vendors to gather information on companies while struggling to integrate and normalize disparate data. Check out this case study to find out their solution: https://hubs.ly/H0JrW6c0

This might not end well. What do you think? via The Independent https://hubs.ly/H0GbHVf0

Will AI shift from early exploration to broad adoption this year? via MedCity News: https://hubs.ly/H0G3V_-0

Decision-making can now be fully automated without any human intervention, thanks to AI applications and machine learning algorithms. These automated, informed decisions can be used by companies improve their operational efficiency. More here via Analytics Insight: https://hubs.ly/H0yvGR50

Recent advancements in AI have enabled sentiment analysis, key phrase extraction and trending to deliver actionable data, converting qualitative information into quantifiable data for decision-making. To learn more and download our white paper on this topic, click here: https://hubs.ly/H0ygDPb0 #AI #BigData

Here's a look at 4 different criteria to find events that might be sign for the target event. via Towards Data Science: https://hubs.ly/H0y5m050

The potential of AI is limitless, with new advancements being realized daily. As we continue pushing creative boundaries, humans and AI must work together to achieve future goals and objectives. Click here to learn how we can use AI to spark human creativity: https://hubs.ly/H0ygDs70 #AI #NLP

Implementing AI in Financing: The hottest new commodity in finance. via Towards Data Science: https://hubs.ly/H0y5d9h0

We talk about alternative data, or alt-data, quite a bit here at Bitvore. Click here to learn more about what it is and how you can use it to help your business, as well as find out some answers to some FAQs about this topic: https://hubs.ly/H0ygDs40

An AI program developed by Alibaba Group's global research program claims to have surpassed humans in reading comprehension. What does this mean for humans and the future of AI? Find out here: https://hubs.ly/H0ygDs20

Data-ink ratio in visualizing data. via Towards Data Science: https://hubs.ly/H0y5lYd0

AI helps users improve phone interactions and eliminate extended wait times. Google has recently developed a new app to minimize the time wasted on phone calls with business representatives. https://hubs.ly/H0yfXHq0

Few shot learning comes of age. via Towards Data Science: https://hubs.ly/H0y5hDP0

Artificial intelligence was designed as a form of technology meant to resemble or model human behavior closely. Although it has improved by leaps and bounds, perfecting a design that mimics humanistic interaction can be a challenge. More here: https://hubs.ly/H0xQ8Kl0 #AI #DataScience #BigData

The COVID-19 pandemic has brought about many challenges and new standards, causing more and more of us to work from home. Check out this article, which highlights some of do's and don'ts of working from home to maintain proper network etiquette and professionalism: https://hubs.ly/H0xQ3HJ0 #ai #covid19 #workingfromhome

Download this free white paper to learn how the adoption of AI in one's business strategy will lead to growth and overall success of the business during and after the recession: https://hubs.ly/H0xQ3Hg0 #AI #BigData