🎉 Exciting News! Meet @CharlieNF, our new CEO at SharpenCX. With his visionary leadership and customer-centric approach, as well as his experiences in the #UCaaS and #AI spaces, we're set for a new chapter of growth and innovation. [Video] Meet Charlie: https://t.co/8OElYig8uA
We are proud to have been selected as one of @BuiltIn's 2023 Best Hybrid Places to Work—an awards program that recognizes tech companies that offer the best total rewards programs for employees. #BuiltIn https://t.co/Aqz6PBTzpS
2022 was a year of twists and turns for business leaders across all industries. Here are four predictions for 2023 from Hyperscience executives for the most proactive paths forward. ➡️ https://t.co/c3wVMANRDe #automation
What trends will emerge in the #MLops landscape in 2023? A variety of #AI and #ML experts shared their predictions with VentureBeat: https://t.co/qSSVVVpDHw
Our 2022 Automation Pulse Report reveals that 40% of respondents believe companies must promote the ethical use of #AI. Learn why this emphasis on a #HumanCentered approach and an ethical commitment is a positive sign for the future. >> https://t.co/oYgiK1P1lD
When malicious—but often unintentional—bias creeps into #AI models, there are real consequences for both individuals and organizations.
Learn why an AI ethics committee is a critical first step from the perspective of our VP of #MachineLearning, CF Su. >>https://t.co/AXNYsgKtCL
Today, we launched a new set of values to help define how we build products & grow the company.
⭐️ Customer First
⭐️ Innovation That Transforms
⭐️ Work-life Flexibility
⭐️ Win Together
⭐️ Lead with Trust
More on our updated values here: https://t.co/o1Trkz803N via @CharlieNF
A critical first step for any organization that leverages or provides #AI should be implementing an AI Ethics Committee. Our VP of Machine Learning, @CF Su, explains the thought process here >> https://t.co/Ld1awMf3Y7 cc: @VentureBeat
The relationship between data, AI and #ML is a force to be reckoned with in the enterprise ecosystem, according to our VP of ML, CF Su. Uncover how AI/ML can effectively process and improve the data fed into an organization’s system via @CMSWire >> https://t.co/oSS50vDtQS
Our latest blog explains how—when implemented correctly—machine learning has the potential to:
Revolutionize the way businesses operate 💯
Make work more meaningful 😊
Make employees more productive 📈
Unlock the power of #ML >> https://t.co/pNkkr5veqI
The Freedom to Create and Innovate.
Great to see our CTO's perspective on how companies can empower developers to create and innovate with minimal boundaries >>
"Quiet Quitting" and workplace disengagement result from mind-numbing tasks forced on knowledge workers craving more. With the right #AI software, employees get valuable time back to flex their minds. Read my POV in @finextra: https://t.co/OuUWwsztTh
"RPA, though promising when it emerged, is just not the right solution for long-term automation efforts," — @HyperscienceAI CTO Tony Lee.
Tony shares in @GetReworked why intelligent #automation can handle complex, dynamic workflows and reduces oversight: https://t.co/vC8RIxngN2
How aware of the widespread use of #AI is the average consumer? For those in the industry, we must develop AI technologies and educate society on its risks and rewards. Great article in @USChamber featuring the chair of @IBM's AI Ethics Board: https://t.co/a39vhp7SkE
Human/machine collaboration accelerates #automation success. This is especially true with Optical Character Recognition (OCR), where embracing human involvement can increase accuracy and speed when the machine makes a mistake. More in the @HyperscienceAI blog:
Why is the "Straight Through Processing" (STP) the wrong metric to measure for optical character recognition performance? Learn where STP falls short >> https://t.co/hBUYY1PaTd #automation
Despite the hype of drones and giant machinery to solve supply chain woes, it's often outdated paperwork processes that cause delays.
@HyperscienceAI CTO Tony Lee shares how back-office #automation can help today's #SupplyChain challenges in @SDCExec: https://t.co/B7hHDkhOvO
"Radiologists who use AI will replace radiologists who don't."
This take on humans versus machines in @nytimes is spot on...Technology will augment our capabilities, rather than replace us. https://t.co/lMvixSWQal "