
TORONTO , Dec. 13, 2024 /PRNewswire/ - As AI adoption continues to accelerate, the insurance industry is under increasing pressure to safeguard personally identifiable information (PII) against sophisticated data privacy risks. Global research and advisory firm Info-Tech Research Group explains in a newly published industry resource that traditional system safeguards and outdated legacy systems are proving insufficient to address the complexities of modern AI-driven processes, leaving insurers exposed to regulatory and technological vulnerabilities. To help insurers tackle these pressing challenges, Info-Tech Research Group's blueprint, Safeguard Your Data When Deploying AI in Your Insurance Systems , offers a strategic framework for integrating privacy-preserving AI solutions. The firm's resource features research insights and tools that will equip IT leaders in the insurance sector to strengthen compliance, mitigate risks, and protect PII while maintaining system performance. "Insurers handle vast amounts of data, from health records to financial histories, fed into AI systems that promise accuracy and efficiency but pose privacy concerns," says Arzoo Wadhvaniya , research analyst at Info-Tech Research Group . "A single breach could compromise thousands of customers' personal information, causing severe reputational and financial damage. It is not just about what AI can do; it is about ensuring it is done securely and ethically." In the blueprint, Info-Tech explains that traditional data safeguarding methods in the insurance industry are increasingly ineffective, as legacy systems often lack the flexibility to meet modern demands. The firm's research findings suggest that unfamiliarity with integrated AI technologies can lead to confusion among employees when assessing risks and determining appropriate applications. Complex regulatory requirements, which may not align with AI-driven processes, further heighten compliance challenges. To address these issues, Info-Tech recommends AI training programs to help employees understand associated risks and foster a culture of security and compliance. "Regulatory frameworks demand strict compliance, yet AI introduces complexities that make this harder. Insurers must ensure AI respects customer consent, limits data usage, and mitigates bias. Otherwise, the consequences could be costly in terms of both fines and lost trust," explains Wadhvaniya . Info-Tech's new resource provides IT leaders in the insurance industry with actionable strategies to address critical risks associated with generative AI. The firm emphasizes the importance of identifying insurance-specific risks and adopting a continuous improvement approach supported by metrics and a risk-based strategy aligned with a privacy framework tailored to organizational needs. The research highlights three key risks tied to generative AI: Data Breaches of PII: AI systems within insurance companies handle vast amounts of sensitive customer data, including health records, financial details, and personal identifiers. These systems, if not adequately secured, can become targets for cyberattacks, leading to unauthorized access to sensitive information. Noncompliance With Regulations: Privacy regulations like the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA) impose strict requirements on how customer data is collected, processed, and stored. AI systems in insurance, which often require large datasets to function effectively, may unintentionally violate these regulations if not properly designed and monitored. Insider Threats: Employees or third-party contractors with authorized access to AI systems and sensitive customer data may exploit their privileges, either intentionally or through negligence. This can lead to data theft, manipulation of critical AI models, or tampering with claims and pricing algorithms. The firm advises the industry to take a proactive stance, implementing robust data governance practices, ensuring transparency, and fostering customer trust in the responsible use of AI. By leveraging insights from this blueprint, insurance companies can effectively address growing data privacy challenges while adopting advanced AI technologies for underwriting, claims processing, and customer engagement. For exclusive and timely commentary from Arzoo Wadhvaniya, an expert in IT strategies, and access to the complete Safeguard Your Data When Deploying AI in Your Insurance Systems blueprint , please contact pr@infotech.com . About Info-Tech Research Group Info-Tech Research Group is one of the world's leading research and advisory firms, proudly serving over 30,000 IT and HR professionals. The company produces unbiased, highly relevant research and provides advisory services to help leaders make strategic, timely, and well-informed decisions. For nearly 30 years, Info-Tech has partnered closely with teams to provide them with everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations. To learn more about Info-Tech's divisions, visit McLean & Company for HR research and advisory services and SoftwareReviews for software buying insights. Media professionals can register for unrestricted access to research across IT, HR, and software and hundreds of industry analysts through the firm's Media Insiders program. To gain access, contact pr@infotech.com . For information about Info-Tech Research Group or to access the latest research, visit infotech.com and connect via LinkedIn and X . View original content to download multimedia: https://www.prnewswire.com/news-releases/insurers-urged-to-safeguard-data-amid-rising-ai-adoption-and-privacy-risks-says-info-tech-research-group-302331530.html SOURCE Info-Tech Research Group
As part of a national “moonshot” to cure blindness, researchers at the CU Anschutz Medical Campus will receive as much as $46 million in federal funding over the next five years to pursue a first-of-its-kind full eye transplantation. “This is no easy undertaking, but I believe we can achieve this together,” said Dr. Kia Washington, the lead researcher for the University of Colorado-led team, during a press conference Monday. “And in fact I’ve never been more hopeful that a cure for blindness is within reach.” The CU team was one of four in the United States that received funding awards from the federal Advanced Research Projects Agency for Health , or ARPA-H. The CU-based group will focus on achieving the first-ever vision-restoring eye transplant by using “novel stem cell and bioelectronic technologies,” according to a news release announcing the funding. The work will be interdisciplinary, Washington and others said, and will link together researchers at institutions across the country. The four teams that received the funding will work alongside each other on distinct approaches, though officials said the teams would likely collaborate and eventually may merge depending on which research avenues show the most promise toward achieving the ultimate goal of transplanting an eye and curing blindness. Dr. Calvin Roberts, who will oversee the broader project for ARPA-H, said the agency wanted to take multiple “shots on goal” to ensure progress. “In the broader picture, achieving this would be probably the most monumental task in medicine within the last several decades,” said Dr. Daniel Pelaez of the University of Miami’s Bascom Palmer Eye Institute, which also received ARPA-H funding. Pelaez is the lead investigator for that team, which has pursued new procedures to successfully remove and preserve eyes from donors, amid other research. He told The Denver Post that only four organ systems have not been successfully transplanted: the inner ear, the brain, the spinal cord and the eye. All four are part of the central nervous system, which does not repair itself when damaged. If researchers can successfully transplant the human eye and restore vision to the patient, it might help unlock deeper discoveries about repairing damage to the brain and spine, Pelaez said, as well as addressing hearing loss. To succeed, researchers must successfully remove and preserve eyes from donors and then successfully connect and repair the optical nerve, which takes information from the eye and tells the brain what the eye sees. A team at New York University performed a full eye transplant on a human patient in November 2023, though the procedure — while a “remarkable achievement,” Pelaez said — did not restore the patient’s vision. It was also part of a partial face transplant; other approaches pursued via the ARPA-H funding will involve eye-specific transplants. Washington, the lead CU researcher, said she and her colleagues have already completed the eye transplant procedure — albeit without vision restoration — in rats. The CU team will next work on large animals to advance “optic nerve regenerative strategies,” the school said, as well as to study immunosuppression, which is critical to ensuring that patients’ immune systems don’t reject a donated organ. The goal is to eventually advance to human trials. Pelaez and his colleagues have completed their eye-removal procedure in cadavers, he said, and they’ve also studied regeneration in several animals that are capable of regenerating parts of their eyes, like salamanders or zebra fish. His team’s funding will focus in part on a life-support machine for the eye to keep it healthy and viable during the removal process. InGel Therapeutics, a Massachusetts-based Harvard spinoff and the lead of a third team, will pursue research on 3-D printed technology and “micro-tunneled scaffolds” that carry certain types of stem cells as part of a focus on optical nerve regeneration and repair, ARPA-H said. ARPH-A, created two years ago, will oversee the teams’ work. Researchers at 52 institutions nationwide will also contribute to the teams. The CU-led group will include researchers from the University of Southern California, the University of Wisconsin, Indiana University and Johns Hopkins University, as well as from the National Eye Institute . The teams will simultaneously compete and collaborate: Pelaez said his team has communicated with researchers at CU and at Stanford, another award recipient, about their eye-removal research. The total funding available for the teams is $125 million, ARPA-H officials said Monday, and it will be distributed in phases, in part dependent on teams’ success. U.S. Rep. Diana DeGette, a Democrat who represents Denver in Congress, acknowledged the recent election results at the press conference Monday and pledged to continue fighting to preserve ARPA-H’s funding under President-elect Donald Trump’s administration. The effort to cure blindness, Washington joked, was “biblical” in its enormity — a reference to the Bible story in which Jesus cures a blind man. She and others also likened it to a moonshot, meaning the effort to successfully put Neil Armstrong and Buzz Aldrin on the moon nearly 50 years ago. If curing blindness is similar to landing on the moon, then the space shuttle has already left the launchpad, Washington said. “We have launched,” she said, “and we are on our trajectory.”Premiers urge Trudeau to extend deadline for charitable donations after postal strike
Authored by Justin Hart via 'Rational ground' substack, So here's the deal - remember when "experts" kept telling us what to do during COVID? Turns out they got pretty much everything wrong. Like, spectacularly wrong . We're talking 19 major things they completely screwed up, from how the virus spreads to whether masks actually work ( spoiler alert: those cloth masks were basically fashion accessories). Dr. Fauci is the patron saint of TERRIBLE COVID policies. He was wrong on SO MANY POINTS. It's time to set the record straight... Did he get anything right? Origin of the disease—wrong Transmission—wrong Asymptomatic spread—wrong PCR testing—wrong Fatality rate—wrong Lockdowns—wrong Community triggers—wrong Business closures—wrong School closures—wrong Quarantining the healthy—wrong Impact on youth—wrong Hospital overload—wrong Plexiglass barriers—wrong Social distancing—wrong Outdoor spread—wrong Masks—wrong Variant impact—wrong Natural immunity—wrong Vaccine efficacy—wrong Vaccine injury—wrong Last year the Norfolk Group just dropped a bomb of a document laying out all these failures. And it's not just Monday morning quarterbacking - they've got the receipts. Real studies showing how natural immunity was actually legit (while Fauci pretended it didn't exist), data proving schools could've stayed open (looking at you, Sweden), and evidence that maybe, just maybe, locking healthy people in their homes wasn't the brilliant strategy they claimed. Listen, I'm not here to say "I told you so" (okay, maybe a little), but we need to talk about this. Because if we don't learn from how badly our "experts" messed up, we're just asking for a repeat performance next time around. And honestly? I don't think any of us can handle another round of plexiglass theater and double masking. Let's break down exactly how they got it wrong, and more importantly, why they kept doubling down even when the evidence said otherwise. Buckle up - this is gonna be a wild ride through the greatest public health face-plant in modern history. These are the questions WE want answered! TRANSMISSION Why did officials insist on surface transmission protocols when evidence showed primarily respiratory spread? Why weren't hospitals evaluating transmission patterns early to inform policy? Why did the CDC not conduct studies on actual transmission patterns in schools and workplaces? Why was outdoor transmission overemphasized despite minimal evidence? Why weren't transmission studies prioritized to guide evidence-based policies? ASYMPTOMATIC SPREAD What evidence supported the claim that asymptomatic spread was a major driver? Why did health officials emphasize asymptomatic spread without solid data? Why were resources wasted testing asymptomatic people when they could have focused on symptomatic cases? How did the emphasis on asymptomatic spread affect public trust when evidence didn't support it? What data actually existed on true asymptomatic (vs presymptomatic) transmission rates? PCR TESTING Why did the CDC insist on developing its own test rather than using WHO's? Why weren't cycle threshold values standardized or reported? Why did labs use cycle thresholds up to 40 when this led to false positives? Why wasn't PCR testing prioritized for high-risk populations early on? How did high cycle thresholds affect case counts and policy decisions? FATALITY RATE Why were infection fatality rates not properly stratified by age from the beginning? Why were deaths "with COVID" vs "from COVID" not distinguished? How did inflated fatality rates affect public perception and policy? Why weren't accurate age-stratified fatality rates clearly communicated? How did misrepresenting fatality rates affect public trust? LOCKDOWNS Why were lockdowns implemented without cost-benefit analysis? Why were lockdown harms (mental health, delayed medical care, etc.) ignored? What evidence supported the effectiveness of lockdowns? Why weren't less restrictive focused protection measures tried first? How many excess deaths were caused by lockdown policies? Why weren't regional/seasonal factors considered in lockdown decisions? COMMUNITY TRIGGERS Why were arbitrary case numbers used to trigger restrictions? Why weren't hospital capacity metrics prioritized over case counts? How were community trigger thresholds determined? Why weren't triggers adjusted based on actual risk levels? Why weren't clear exit criteria established for restrictions? BUSINESS CLOSURES What evidence supported closing small businesses while keeping large retailers open? Why weren't occupancy limits tried before full closures? How many businesses were unnecessarily destroyed? Why weren't economic impacts weighed against minimal health benefits? What data supported effectiveness of business closures? SCHOOL CLOSURES Why were schools closed despite early evidence of low risk to children? Why did the US ignore data from European schools that stayed open? Why weren't the developmental/educational harms to children considered? How did school closures affect mental health and suicide rates in youth? Why weren't teachers unions' influence on closure decisions examined? What evidence supported claims that schools were major transmission vectors? QUARANTINING THE HEALTHY Why was mass quarantine implemented without precedent or evidence? Why weren't focused protection measures tried instead? What was the cost-benefit analysis of quarantining low-risk groups? How did mass quarantine affect mental health? Why weren't vulnerable populations prioritized instead? IMPACT ON YOUTH Why weren't developmental impacts on children considered? How did isolation affect mental health and suicide rates? What were the educational losses from remote learning? Why weren't sports/activities preserved for youth wellbeing? How did masks/distancing affect social development? What were the impacts on college students' mental health and development? HOSPITAL OVERLOAD Why weren't early treatment protocols developed to prevent hospitalizations? Why were field hospitals built but never used? How did "flattening the curve" messaging affect hospital preparations? Why weren't at-risk populations protected to prevent hospitalizations? What was the actual vs projected hospital capacity usage? PLEXIGLASS BARRIERS What evidence supported effectiveness of barriers? Why weren't airflow patterns considered? How did barriers affect ventilation? What was the cost-benefit of barrier installation? Why weren't barrier recommendations updated when shown ineffective? SOCIAL DISTANCING What evidence supported 6-foot distancing? Why wasn't distancing adjusted based on ventilation/masks/context? How did arbitrary distance rules affect businesses/schools? Why wasn't 3-foot distancing considered adequate earlier? What research supported outdoor distancing requirements? OUTDOOR SPREAD Why were outdoor gatherings restricted despite minimal transmission risk? Why were beaches/parks closed? Why weren't outdoor activities encouraged as safer alternatives? How did outdoor restrictions affect mental/physical health? What evidence supported masks outdoors? MASKS Why were mask mandates implemented without RCT evidence? Why weren't potential harms of masking children considered? Why were cloth masks promoted despite ineffectiveness? How did masks affect learning/development in children? Why weren't mask policies updated when studies showed limited benefit? Why was natural immunity discounted in mask policies? VARIANT IMPACT Why were variants used to justify continued restrictions? How did variant fears affect vaccine confidence? Why weren't policies adjusted for milder variants? How did variant messaging affect public trust? Why weren't seasonal patterns considered in variant projections? NATURAL IMMUNITY Why was natural immunity ignored in policy decisions? Why were recovered people required to vaccinate? Why wasn't natural immunity studied more thoroughly? How did dismissing natural immunity affect public trust? Why were natural immunity studies from other countries ignored? VACCINE EFFICACY Why were initial efficacy claims not properly qualified? Why wasn't waning efficacy communicated earlier? How did overselling efficacy affect public trust? Why weren't breakthrough cases tracked properly? Why were boosters promoted without clear evidence of benefit? VACCINE INJURY Why weren't adverse events properly tracked/investigated? Why were vaccine injuries downplayed or dismissed? How did VAERS data interpretation affect public trust? Why weren't age-stratified risk-benefit analyses conducted? Why weren't early warning signals investigated more thoroughly? How did dismissing injuries affect vaccine confidence? We have a LOT of work to do and THANKFULLY we may have people in charge who are willing to ask these questions! * * * Rational Ground by Justin Hart is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.Billie Eilish Compares Her Frequent Social Media Usage to Smoking 'Cigarettes': 'It's Really a Problem'Minnesota hunters registered 120,675 deer after the third weekend of the firearms deer season, up 6% from 2023, but down 4% from the five-year mean, or average, the Department of Natural Resources reported Tuesday, Nov. 26. Deer Season A opened Saturday, Nov. 9, and ended Nov. 17 in 200- and 300-series deer permit areas (DPAs) and continued through Nov. 24 in 100-series DPAs, which are mainly in the northern and northeastern part of the state. ADVERTISEMENT The Season B firearms deer season in 300-series DPAs opened Nov. 23 and continues through Sunday, Dec. 1. The firearms deer harvest by region after 16 days was as follows: According to Todd Froberg, big game program coordinator for the DNR at Whitewater Wildlife Management Area in Altura, Minnesota, the harvest really only increased in the Northwest, Northeast and Central regions during the rest of the 16-day season and then in the B season in the southeast part of the state. The 200-series DPAs only had the nine-day season, and there is only one DPA in the southwest region open during the ongoing B season, Froberg said. The cumulative harvest to date, which includes archery, firearm, early antlerless, youth and special hunts, was 153,390 deer, the DNR said. That’s up 3% from 2023, but down 6% from the five-year average and down 8% from the 10-year average. Cumulative tallies by region were as follows: In related deer hunting news, Minnesota archery hunters as of Tuesday had harvested 23,047 deer, Froberg said, up 12% from last year. Crossbows, which are legal for all archery hunters in Minnesota, are making up a greater percentage of the archery harvest, Froberg says. ADVERTISEMENT “Crossbows are making up 47% of (the) archery harvest,” he said. “For crossbow-specific harvest, we are up 24% compared to last year’s crossbow harvest. Vertical bow harvest is up 4% compared to last year’s vertical bow harvest.” Minnesota’s muzzleloader opens Saturday, Nov. 30, and continues through Sunday, Dec. 15. Archery season continues through Dec. 31. The DNR posts regular harvest updates, both statewide and by DPA, on its website at dnr.state.mn.us/mammals/deer/management/statistics.html.
Macron names ally Bayrou as new PM as he aims to restore political stability
Prices in British shops fell less sharply this month, according to a survey from the British Retail Consortium on Tuesday that suggested consumers could face renewed pressure on their spending power. Annual shop price deflation of 0.6% in the 12 months to November followed a 0.8% drop in the 12 months to October, the BRC said. Its measure of shop price inflation dropped between May 2023 and July this year after which it fell further into deflation, until now. “With significant price pressures on the horizon, November’s figures may signal the end of falling inflation,” Helen Dickinson, BRC’s chief executive, said. Official figures last week showed consumer price inflation rose to 2.3% in October, largely reflecting a surge in household energy prices. The Bank of England this month cut interest rates to 4.75% from 5% but said it was likely to move only gradually with further cuts. On Monday, BoE Deputy Governor Clare Lombardelli expressed concern about the risk of stronger price growth than forecast. The BRC’s Dickinson said prices would increase as stores pass on higher staffing costs including in finance minister Rachel Reeves’ budget last month. Reeves on Oct.30 announced a 25 billion-pound ($31.53 billion) rise in social security contributions by employers alongside a 6.7% uplift in the minimum wage. The BRC survey showed food inflation fell to 1.8% from 1.9% in October. Prices of non-food items fell by 1.8%, a less severe drop than October’s 2.1% decrease. A separate survey from British supermarket Asda on Monday said a drop in households’ disposable income and rising inflation could subdue Christmas spending. Source: Reuters (Reporting by Suban Abdulla, Editing by William Schomberg)Pre-Collision System (PCS) Market Outlook and Future Projections for 2030The Doha Global South Health Policy initiative launched in February 2024 by various Qatari stakeholders in partnership with Bill & Melinda Gates Foundation is making steady progress focusing on primary healthcare in global south countries selected for the programme, disclosed a top official of the Gates Foundation. “We had a roundtable with the participating countries in Africa during Doha Forum. It was clear in a number of the presentations, to potentially use some of the digital technologies to help improve primary health care in those countries,” Dr Chris Elias, president of the Global Development Division at the Bill & Melinda Gates Foundation told Gulf Times in an exclusive interview. “During the discussions, the countries have identified one or two projects where Qatar could partner with them on strengthening the health workforce or improving the digital transformation within the primary health care system,” he highlighted. The official said that the focus will be on the underlying immunisation and maternal and child healthcare part for a strong primary healthcare system in these countries. “So, there were a number of project ideas presented. I think the next step will be to see if there's a potential match on some of those projects where Qatar might support some of the countries directly and then actually try to disseminate the learnings,” continued the official. The partnership with Bill & Melinda Gates Foundation and the Middle East Council on Global Affairs was formed with the support of the Ministry of Foreign Affairs of Qatar in February 2024, to create an innovative platform that aims to leverage the experience and know how of senior public officials from the Global South. The Qatari stakeholders are the Ministry of Public Health, Qatar Fund for Development, Qatar University, Hamad Bin Khalifa University, Qatar Charity, and Qatar Red Crescent and the participating countries are: Nigeria, Somalia, Congo, Burkina Faso, Mozambique, and Malawi. “The roundtable showed a tremendous amount of promise, as it brought forward some very important voices from senior technical people in a variety of countries to talk about their perspective on what their needs were and how the donor community could better coordinate with them. We had really insightful presentations from Somalia, Malawi and Burkina Faso, Nigeria, Congo, and Mozambique,” explained, Dr Elias According to Dr Elias there were several important takeaways for the Global South countries form the meeting. “They need to focus on workforce development, financing for critical health development initiatives and collaboration with the private sector. They also have to look at the potential for digital technology to be transformative in some of their programmes. The presentations included their thinking across some of the key priorities on immunisation, maternal health, primary healthcare, and presented some specific ideas,” he elaborated. Dr Elias noted that Gates Foundation works in a very focused way in a number of those countries. He remarked : “We also have other projects in Malawi and Somalia, as well as in Mozambique. So we work in all of those countries and in some of them more intensively. The one that we work in the most is Nigeria. In the last 18 months, Nigeria has prioritised primary health care and they have increased their domestic funding for primary healthcare.” “We have outlined a plan going forward that would involve having an annual convening, with the next in the fourth quarter of 2025 and in the subsequent years. In the meantime, there is going to be a community of healthcare practitioners in several areas among these countries,” added Dr Elias. Related Story Monoprix launches sensory friendly hours at Doha Festival City outlet ‘ICC, ICJ indispensable in upholding principles of justice in conflict areas’
Health In Tech Announces Closing of Initial Public Offering
JERUSALEM and NEW YORK , Dec. 14, 2024 /PRNewswire/ -- Lightricks , a global leader of AI-powered creative technology, today announced it is partnering with Shutterstock, Inc. (NYSE: SSTK) to license and use Shutterstock's extensive video asset library. This collaboration will empower Lightricks to train its open-source video generation model, LTX Video (LTXV), using high-quality HD and 4K video assets. Lightricks is the first global partner to train on Shutterstock's industry-first "research license," a unique option that reduces the entry barrier for open-source model training. Lightricks Partners With Shutterstock for Video Training Data to Advance Open Source LTXV Video AI Generative Video Model "This long-term partnership with Shutterstock marks a strategic milestone for us, building on our licensing initiatives from the past year, including agreements with major broadcasters and key content providers." said Zeev Farbman , Co-founder and CEO of Lightricks. "At our core, we're committed to building powerful, accessible creative tools. This collaboration not only enhances our ability to train AI models with premium, diverse video data, but also elevates the quality and relevance of our generative video tools for our growing community of professional creators and enterprises." This partnership also continues Lightricks' AI mission to drive access to creative tools, while driving high-quality generative AI results. By incorporating Shutterstock-licensed video data, Lightricks strengthens its training models, ensuring they are built on robust, industry-recognized datasets that respect the creativity of filmmakers and broadcasters. This announcement follows Lightricks' release of LTXV 0.9 to the open-source community in November 2024 . By leveraging Shutterstock's premium HD and 4K video data, Lightricks aims to prioritize quality in its next model update, enhancing results for users while advancing its open-source initiatives. "With our innovative research license model, we empower partners to train their AI models using trusted, licensed data from the start," said Daniel Mandell , Global Head of Data Licensing & AI at Shutterstock. "We're thrilled to collaborate with Lightricks on their cutting-edge video tools and remain committed to delivering the data assets they need to achieve long-term success." Shutterstock's expansive library-consisting of more than one billion royalty-free assets, including images, videos, music, 3D models, templates, and more-provides one of the largest and most diverse global media datasets available for multimodal model training. About Lightricks Lightricks is a global leader in developing AI-powered creative tools that empower creators and brands. With innovative products like Facetune, Videoleap, and the recently launched LTX Studio, Lightricks is transforming the creative landscape. About Shutterstock, Inc. Shutterstock, Inc. (NYSE: SSTK) is a premier partner for transformative brands, digital media and marketing companies, empowering the world to create with confidence. Fueled by millions of creators around the world and a fearless approach to product innovation, Shutterstock is the leading global platform for licensing from the most extensive and diverse collection of high-quality 3D models, videos, music, photographs, vectors and illustrations. From the world's largest content marketplace, to breaking news and A-list entertainment editorial access, to all-in-one content editing platform and studio production service-all using the latest in innovative technology-Shutterstock offers the most comprehensive selection of resources to bring storytelling to life. Learn more at www.shutterstock.com and follow us on LinkedIn , Instagram , Twitter , Facebook and YouTube .Defending champion Kernels tabbed as best boys basketball team in South Dakota by MaxPreps