Yet2
FEBRUARY 7, 2024
yet2 employed their proprietary Big Data approach to quickly ingest and analyze thousands of data points across their database of 5,000+ CMOs, reducing the analysis time from months to days. Using analysis across datasets, yet2 was able to tie the brand to the manufacturer , information that wasn’t readily available publicly.
Business and Tech
JUNE 21, 2023
Whether avoiding stepping into an unemployment line due to lay-offs or voluntarily deciding to start the small business many may have dreamed about for years, the growth in America’s small business community is transforming the American economy. How have businesses that started since 2020 fared in comparison to the norm?
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hackerearth
OCTOBER 4, 2018
Over 90% of the world’s leading banks are either exploring, experimenting (PoCs), or formulating a strategy for leveraging blockchain technology, says an Accenture survey. But when it comes to intra-organizational processes, challenges arise due to process design and lack of mutual trust. Areas of impact. Sample use cases.
Christensen Institute
JANUARY 26, 2023
This example of the cell phone’s evolution could serve as a potential comparison to microschools. But whether they ultimately prove disruptive to conventional schooling hinges on a few factors beyond the analysis presented in that post.
mjvinnovation
OCTOBER 5, 2020
in Data Science at Harvard Business Review : “First, data scientists create a solid database to carry out a robust analysis. In short, with technology, data science is about infrastructure, technology, testing, machine learning for decision making, and data products” Benefits of Data Science for Businesses.
eZassi
SEPTEMBER 26, 2019
If your organization is focused on adjacent, incremental or breakthrough technologies you will need a strong scouting team to get the work done. From there you can make the right decisions on the people, process and technology needed to succeed and ensure that the go to market is a success.
Qmarkets
JULY 8, 2017
As drastic as this comparison might seem, the very same quandary exists within the field of innovation management: How do you combine the invaluable collective intelligence of a large audience , with the irreplaceable analysis of a small group of experts? Evaluating Evaluation. Crowds vs. Single Experts. Assigning Experts.
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