honorable mention
The Growth of E-Bike Use: A Machine Learning Approach
Gupta, Aditya, Chitgopekar, Samarth, Kim, Alexander, Jiang, Joseph, Wang, Megan, Grattoni, Christopher
We present our work on electric bicycles (e-bikes) and their implications for policymakers in the United States. E-bikes have gained significant popularity as a fast and eco-friendly transportation option. As we strive for a sustainable energy plan, understanding the growth and impact of e-bikes is crucial for policymakers. Our mathematical modeling offers insights into the value of e-bikes and their role in the future. Using an ARIMA model, a supervised machine-learning algorithm, we predicted the growth of e-bike sales in the U.S. Our model, trained on historical sales data from January 2006 to December 2022, projected sales of 1.3 million units in 2025 and 2.113 million units in 2028. To assess the factors contributing to e-bike usage, we employed a Random Forest regression model. The most significant factors influencing e-bike sales growth were disposable personal income and popularity. Furthermore, we examined the environmental and health impacts of e-bikes. Through Monte Carlo simulations, we estimated the reduction in carbon emissions due to e-bike use and the calories burned through e-biking. Our findings revealed that e-bike usage in the U.S. resulted in a reduction of 15,737.82 kilograms of CO2 emissions in 2022. Additionally, e-bike users burned approximately 716,630.727 kilocalories through their activities in the same year. Our research provides valuable insights for policymakers, emphasizing the potential of e-bikes as a sustainable transportation solution. By understanding the growth factors and quantifying the environmental and health benefits, policymakers can make informed decisions about integrating e-bikes into future energy and transportation strategies.
- North America > Trinidad and Tobago > Trinidad > Arima > Arima (0.27)
- North America > United States > Vermont (0.05)
- Research Report > New Finding (0.48)
- Research Report > Experimental Study (0.34)
- Transportation > Ground > Road (1.00)
- Transportation > Electric Vehicle (1.00)
- Energy (1.00)
- Transportation > Passenger (0.90)
Prime Day Has Ended, but These 66 Great Deals Are Going Strong
After 48 full hours, Amazon Prime Day 2022 is officially over. We hope you were able to find useful discounts among the Kindles, Echo Dots, Stasher bags, LifeStraws, and other great deals we found sifting through Amazon. If you missed out, fear not, a few great deals remain--at least for now. Below are the best remaining deals from all of our Prime Day 2022 coverage. Special offer for Gear readers: Get a 1-Year Subscription to WIRED for $5 ($25 off). This includes unlimited access to WIRED.com and our print magazine (if you'd like). Subscriptions help fund the work we do every day. If you buy something using links in our stories, we may earn a commission. This helps support our journalism. We like Google's Pixel 6 Pro (9/10, WIRED Recommends) because it has a spectacular camera system, with a great 4X optical zoom, a sharp 120-Hz screen refresh rate with an AMOLED panel, and plenty of useful smart software features powered by Google's Tensor processor. Oh, and a battery that generally lasts a full day.
- Information Technology (1.00)
- Media (0.88)
- Retail > Online (0.60)
- Information Technology > Hardware (1.00)
- Information Technology > Communications > Mobile (1.00)
- Information Technology > Artificial Intelligence (1.00)
Simplr listed as an Honorable Mention in the 2022 Gartner Magic Quadrant for Customer Service BPO
Simplr announced it has been included as an Honorable Mention in 2022 Gartner Magic Quadrant for Customer Service BPO. "Gartner defines the customer service business process outsourcing (CS BPO) market as the delegation of customer service business process activities to support existing and potential clients to a third-party service provider." According to the report, "Service organizations partner with CS BPO vendors to reduce costs, achieve greater staffing flexibility and/or access new digital or technology capabilities." Simplr is disrupting the staid customer support contact center model by offering a combination of a uniquely talented and scalable staffing pool, automation, and AI-based technology, allowing customers to immediately expand their customer service capacity and engage customers with speed, empathy, and precision. The Simplr platform raises revenue conversions by an average of 44% and reduces high-effort customer interactions in half, increasing customer repurchase rates by 7-10%. Current customers include Restaurant Brands International, YETI, The North Face, and many more.
Machine Learning in Production: Why You Should Care About Data and Concept Drift
Machine learning models often deal with corrupted, late, or incomplete data. Data quality issues account for a major share of failures in production. But let's say it is covered. The data engineering team does a great job, data owners and producers do no harm, and no system breaks. Does this mean our model is safe? Sadly, this is never a given.
- Health & Medicine > Therapeutic Area (0.31)
- Retail (0.30)
Gartner's 2020 Magic Quadrant For Data Science And Machine Learning Platforms Has Many Surprises
Enterprise decision-makers look up to Gartner for its recommendations on enterprise software stack. The magic quadrant report is one of the most credible, genuine, and authoritative research from Gartner. Since it influences the buying decision of enterprises, vendors strive to get a place in the report. Gartner recently published its magic quadrant report on data science and machine learning (DSML) platforms. The market landscape for DS, ML and AI is extremely fragmented, competitive, and complex to understand.
The tech winners and losers of 2016 (hint: Facebook – and Facebook)
The year 2016 was supposed to be when the tech bubble finally burst. Instead the world blew up. Amid Brexit, the election of Donald Trump, and the increasingly catastrophic consequences of climate change, the dominance of a handful of technology companies over society became increasingly obvious – from Facebook's troubling impact on democracy to Elon Musk's plan to colonize a new planet before we destroy this one. Still, if there's one thing we can learn from this year in technology, it's that no matter how bad things get, someone in Silicon Valley will make money off it. The social network continued its relentless campaign to swallow the internet whole, racking up almost $6bn in profit in the first three quarters of the year and soaring to 1.79 billion monthly active users.
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- Transportation > Ground > Road (0.99)
- Government > Regional Government > North America Government > United States Government (0.70)
- North America > United States > California > San Francisco County > San Francisco (0.16)
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- North America > Canada > Quebec > Montreal (0.14)
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