frameworks information opportunity transportation 
TechCrunch
FEBRUARY 3, 2022
Automakers keen to sell vehicles loaded with features and software services — in a bid to generate more revenue — have an information overload challenge. A wave of startups have cropped up over the past several years to manage these critical information flows. The crux is that they all must work in concert. .
TechCrunch
MAY 11, 2021
The augmented reality experience overlays additional information, pointers and other tools over the video stream. ” 7 investors discuss augmented reality and VR startup opportunities in 2020. Jobandtalent takes $120M from Softbank to enter the US market.
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TechCrunch
FEBRUARY 24, 2023
In this article aimed at early-stage founders, Kolluri shares a detailed framework with timelines that can help determine whether it’s time to look for a buyer or keep reaching for the stars. Full TechCrunch+ articles are only available to members. Use discount code TCPLUSROUNDUP to save 20% off a one- or two-year subscription.
Impact Hub
SEPTEMBER 1, 2022
These raw materials are finite, and to exacerbate the situation, the used products are largely dumped in various landfills, missing the opportunity for extra value creation, and adding pressure to the environment. I like the feeling of not knowing and the opportunity to learn.” – Plante Josue from Aflimba. .
TechCrunch
MARCH 26, 2021
Ideally, BI transforms raw data into actionable information, but according to Charles Caldwell, VP of product management at Logi Analytics, “a gap exists between the functionalities provided by current BI and data discovery tools and what users want and need.” It’s time to abandon business intelligence tools.
TechCrunch
APRIL 16, 2021
If you have a great idea within the open-core framework, expect your risks to be much lower than with a traditional business structure. When the word “hydrogen” is uttered today, the average non-insider’s mind likely gravitates toward transportation — cars, buses, maybe trains or 18-wheelers, all powered by the gas.
FundersClub
JUNE 29, 2017
What once required deep domain expertise to execute has been made easier by libraries and frameworks, such as Google's TensorFlow. Transporting big sets of data for building complicated machine learning models can require moving the data offline, in physical form. Use other AI models to crawl data as it comes in. Moving data.
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