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De Beers, Tiffany & Co, Halt Alrosa Russian Diamond Imports

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De Beers, a direct competitor of the Alrosa mine in Russia, took advantage of the recent sanctions in its official website statement. “Every diamond discovered by De Beers Group comes from one of our mines in Botswana, Canada, Namibia or South Africa.” Russia is absent from the list, and the innuendo is clear.

Jewelry giant Tiffany & Co. also stated that it discontinued Russian diamond imports. Stones currently in transit as well as those already in US stores will remain outside the scope of the sanctions. 

Despite all assurances of compliance with President Bidens executive order to ban Alrosa exports to the United States, it was virtually impossible to prove the provenance of a natural gemstone. 

The solution comes from Sarine Technologies. An increasing number of companies in the diamond industry are relying on the publicly traded company for proof of a gemstones provenance. Even when a gem crosses borders, Sarine can trace it and identify the point of origin.

The corporation deployed a global fleet of state-of-the-art 3D gemstone scanners throughout the mining and production industry that identify the inherent attributes of each jewel. From mine to jewelry store, every point in the supply-chain rescans the gemstones. When a match is made, the stone is verified.

Eastern European stones are commonly sold in India, and exchange hands before making their way to their international destinations. Blood diamonds are commonly fed into supply chains unbeknownst to purchasers.

The Verify website conducted an interview with RapNet founder, Martin Rapaport, who wrote about loopholes in the US sanctions. “The order places no restrictions on the U.S. importation of polished diamonds sourced from Russian rough diamonds but cut and polished elsewhere.” 

In order to document sourcing, Sarine uses blockchain technology to create an immutable record of a gems initial location, its movement, and ownership. When a rough jewel is mined, it is scanned and logged into the online distributed ledger. 

As the product is rescanned at each point of exchange, the software confirms a match and the data is stored in the blockchain. The customer can access an online report that certifies the provenance and journey of the jewelry.

It’s changing the market,” says Simon Levy, a diamond sales executive in The Israel Diamond Exchange LTD. Mined gems are meaningful and symbolic, but many of our customers over the last decade are more concerned with where our rough stones come from. Having a scientific means to verify where they originate is important to them, and to me as well.”

The biggest hurdle for the tracing concept was the ability to find distinctive, inimitable characteristics inherent in the stone. Once the technologies were able to make these distinctions, a world of possibilities was opened.

Jonathan Larson, an assistant professor of computer science in Cambridge, MA explained that Blockchain uses distributed computing, and it’s a brilliant way to securely track and observe digital records. We began experimenting with extending the technology from digital assets to actual things.”

He continued, “We could track them, but we werent able to authenticate all of them—we didnt know if they were the same object. But when theres a distinct identifier, then you have both authentications matching as well as the history and exchange. The more granular the distinction, the higher the level of authentication.”

Once paired with distributed ledger technology, the software knows everything about the stone, including where it came from and where it ends up. The failsafe system benefits everyone involved in legitimate trade—especially retail customers.

Tiffany and other companies will be embracing high-tech solutions to ensure products are coming from vetted sources. That’s great news for everybody.

Jenny is one of the oldest contributors of Bigtime Daily with a unique perspective of the world events. She aims to empower the readers with delivery of apt factual analysis of various news pieces from around the World.

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Revolutionizing PM Recruitment: How ProsperCircle Leverages AI for Job Matching

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Job hunting can prove daunting in the field of product management (PM), which ranks as the fourth most popular US career, attracting thousands of highly qualified candidates. In this competitive field, many candidates increase their odds by harnessing the power of data.

 

ProsperCircle empowers PM job seekers with career opportunities that align with their individual skills, experience, and interests through a niche job search platform that provides personalized AI career coaching and interview practice specific to product management. Their development of a properietary reasoning engine tailored for automated PM interviews empowers candidates with a simulated interview experience, actionable feedback, and the confidence to excel in real-world scenarios by practicing real-world case questions.

 

How ProsperCircle’s AI coach matches candidates with the best available PM jobs

ProsperCircle leverages AI to provide improved job recommendations. The platform’s machine learning algorithms analyze vast amounts of job data, ensuring that candidates are matched with the most relevant jobs to give those seeking PM jobs a better experience with little to no search fatigue.

With ProsperCircle, AI algorithms take note of a job seeker’s work experience, education, skills, and preferred location. The system then analyzes the information against the platform’s job database to deliver personalized job listings tailored to the job seeker’s preferences.

Virtual interview methods today struggle to accurately assess candidates’ abilities, particularly for roles like PM that require nuanced decision-making. ProsperCircle’s reasoning engine fills this gap by offering a unique simulated interview experience tailored for PM roles. Unlike existing solutions, their platform provides candidates with real-world scenarios, allowing recruiters to evaluate their problem-solving and decision-making skills in a virtual environment.

“The old-fashioned way of finding a job was to scroll through hundreds of ads and pick out the ones that were a good fit for your interests and abilities,” says Salil Sethi, founder of ProsperCircle.com. “AI job matching changes the game by streamlining the process and giving you the time to concentrate on the most suitable PM job listings.”

ProsperCircle processes the information on job advertisements and candidates’ profiles to generate vector embeddings. These three-dimensional representations of data points record subtle details of thousands of job postings and the candidates’ complicated backgrounds, experiences, and preferences through a highly sophisticated approach beyond mere keyword matching.

“Our AI career coach starts by looking at your work experience, education, desired work environment, and goals,” explains Sethi. “The system then checks the vector embeddings of your profile against all available product management job listings to find highly relevant matches by analyzing each position’s necessary skills, duties, business culture, and opportunities for advancement. You get personalized employment suggestions based on in-depth analysis of your needs and the needs of each potential employer.”

With every interaction, ProsperCircle’s AI job coach gains knowledge by taking note of each candidate’s preferences as they apply for jobs, and then gives candidates feedback on suggestions to improve their search results. This ensures that future recommendations are better targeted and more successful.

How ProsperCircle’s AI coach helps PM job seekers improve their odds as they apply for job matches

ProsperCircle’s AI coach not only examines a PM candidate’s relevant information to suggest job listings but also utilizes AI to provide career advice.

First, ProsperCircle provides candidates with comprehensive insights into the current product management market with data analysis and metrics such as average salary, average time to hire, and the skills employers desire most. With this data, PM job candidates can better gauge their value in the market, pinpoint where to improve their skills, and plan to meet the changing demands of their field.

For example, a candidate interested in a digital product management role can access specific insights about the demand for these roles in different industries, the typical career trajectory, and the average time companies take to fill such positions. This level of detail empowers them to target applications and negotiate salaries more effectively.

ProsperCircle assigns each available job a competitiveness score. This score evaluates how competitive the selection process for each listing will be based on factors like the company’s reputation, required skills, or salary.

Next, the platform offers tips to improve candidates’ resumes and cover letters by prompting them to highlight relevant experience. It also recommends skills that candidates can acquire to improve their odds during the selection process.

Finally, ProsperCircle’s revolutionary AI interview coach is a game-changer. With the help of advanced reasoning engines, it mimics real-life interview situations, creates an immersive environment, and offers specific feedback to prepare candidates for success in actual interviews.

“A data-driven approach is becoming an absolute necessity in today’s cutthroat employment environment,” remarks Sethi. “It helps you find the right job and enables you to confidently chart a course for your professional future. By keeping PM professionals updated with market trends, salary benchmarks, and in-demand skills, we enable them to adapt their learning and career plans to meet the industry’s ever-evolving demands.”

The use of AI reimagines job search platforms and transforms the job search experience for candidates. Highly relevant job listings, personalized career advice, and immersive interview coaching have quickly made ProsperCircle the go-to platform for job seekers looking to advance their PM careers.

 

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