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AT&T Confirms Data Breach , Affected 73 Million Customers.<br/>73 million current and former <br/>AT&T customers have had their sensitive <br/>data compromised in a hack that some outlets <br/>say dates back to 2021, Gizmodo reports.<br/>The data, which includes social security numbers, email addresses, birthdates, phone numbers and AT&T account information, .<br/>was located two weeks ago in a data <br/>set released on the dark web.<br/>It's not clear if it was AT&T's systems that were breached or if the information was stolen from one of the company's vendors.<br/>Currently, AT&T does not have evidence <br/>of unauthorized access to its systems <br/>resulting in exfiltration of the data set, AT&T, via statement.<br/>The company is communicating <br/>proactively with those impacted and <br/>will be offering credit monitoring at <br/>our expense where applicable, AT&T, via statement.<br/>As a precaution, AT&T has reset the <br/>passcodes of its current customers. .<br/>The company will be reaching out to customers whose information has been compromised. .<br/>AT&T advises those who are worried about their accounts to monitor activity and credit reports.
⏲ 1:30 👁 685K
TheStreet’s Remy Blaire brings you the biggest news of the day, including what investors are watching and AT&T’s massive data breach.
⏲ 1:51 👁 1.1M
Welcome to Session 13 of our Open RAN series! In this session, we'll explore the integration of Artificial Intelligence (AI) and Machine Learning (ML) in Open RAN. These technologies play a crucial role in designing intelligent systems that enhance the overall ecosystem of Open RAN.<br/><br/>Artificial Intelligence and Machine Learning<br/>Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. Machine Learning (ML) is a subset of AI that allows machines to learn from data without being explicitly programmed. These technologies can revolutionize Open RAN by enabling intelligent decision-making, predictive maintenance, and network optimization.<br/><br/><br/>Application of Machine Learning in Open RAN<br/>Machine Learning algorithms use mathematical functions to analyze data and make predictions or decisions based on that analysis. In Open RAN, ML can be applied to various areas such as network optimization, predictive maintenance, and intelligent resource allocation. ML algorithms can analyze network traffic patterns, predict equipment failures, and optimize network performance, leading to improved efficiency and reliability.<br/><br/><br/>Join us as we explore the potential of AI and Machine Learning in Open RAN. Don't forget to subscribe to the \
⏲ 4:15 👁 25K
In financial modeling, the costs of being wrong can be significant and can impact various aspects of a business. Here are some potential consequences:<br/><br/>Misallocation of Resources: If financial models are inaccurate, it can lead to misallocation of resources. For example, if a company overestimates future sales, it may invest too much in production capacity, inventory, or marketing, leading to excess costs and reduced profitability. Conversely, underestimating sales may result in lost opportunities for growth.<br/><br/>Strategic Errors: Financial models often inform strategic decisions such as pricing strategies, product development initiatives, or expansion plans. If these models are flawed, it can lead to strategic errors that may harm the company's competitiveness or long-term viability.<br/><br/>Impact on Investor Confidence: Investors rely on financial models to assess the performance and valuation of companies. Inaccurate or unreliable financial projections can erode investor confidence and lead to reduced access to capital or higher borrowing costs.<br/><br/>Regulatory Compliance Issues: Inaccurate financial reporting resulting from flawed financial models can lead to regulatory compliance issues and potential penalties from regulatory authorities. This can damage the company's reputation and lead to legal liabilities.<br/><br/>Loss of Stakeholder Trust: Inaccurate financial models can undermine trust and credibility with stakeholders such as customers, suppliers, employees, and partners. This can have long-lasting consequences on relationships and business partnerships.<br/><br/>Operational Disruptions: Inaccurate financial forecasts can lead to operational disruptions, such as inventory shortages or production bottlenecks, if the company fails to adequately plan for future demand or supply needs.<br/><br/>Wasted Time and Effort: Developing and maintaining financial models requires significant time, effort, and resources. If these models are inaccurate or unreliable, it can result in wasted time and effort spent on troubleshooting, revising, or rebuilding the models.<br/><br/>Missed Opportunities: Inaccurate financial forecasts may cause companies to miss opportunities for growth, innovation, or cost savings. For example, if a company underestimates future demand for a product, it may fail to invest in sufficient production capacity or miss out on opportunities to capture market share.<br/><br/>To mitigate the costs of being wrong in financial modeling, companies should invest in robust data analysis, model validation, and scenario analysis. They should also foster a culture of transparency, accountability, and continuous improvement to ensure that financial models are regularly reviewed, updated, and refined to reflect changing market conditions and business dynamics. Additionally, companies should seek input from various stakeholders and subject matter experts to improve the accuracy and reliability of their financial models.
⏲ 4:19 👁 25K
Travel back 390 million years after the big bang to the ancient Maisie's Galaxy in this stunning 3D visualization that showcases 5000 galaxies captured by the James Webb Space Telescope. It was created from CEERS (Cosmic Evolution Early Release Science) Survey data.
⏲ 1:17 👁 25K
Musk, in a post on Thursday, pointed out the irony of the outage, saying, “Hard to keep the servers running when they’re so distracted selling their user’s data.”
⏲ 0:57 👁 20K
Magnitude 6.0 quake shakes northeast Japan, no tsunami alert;<br/><br/>Daytime fire at Istanbul nightclub kills at least 29 people;<br/><br/>Logon: Cloud-based data watching volcanoes
⏲ 6:51 👁 20K
Our infatuation with online shopping since the pandemic could be killing whales in the Atlantic, according to data from NOAA.
⏲ 1:26 👁 1M
US Life Expectancy on the Rise , Following Pandemic Decline, CDC Report Says.<br/>According to the latest federal <br/>mortality data, life expectancy in <br/>the United States increased in 2022. .<br/>The report published by the Centers for <br/>Disease Control and Prevention's National Center for Health <br/>Statistics (NCHS) raised life expectancy to 77.5 years.<br/>The report published by the Centers for <br/>Disease Control and Prevention's National Center for Health <br/>Statistics (NCHS) raised life expectancy to 77.5 years.<br/>The positive change comes after two <br/>years of decline following the pandemic.<br/>The positive change comes after two <br/>years of decline following the pandemic.<br/>While life expectancy has yet to reach <br/>pre-pandemic levels, 2022 showed <br/>an increase of 1.1 years compared to 2021.<br/>2022 ended up recording 3.27 million <br/>deaths in the U.S., which was <br/>184,374 fewer deaths than the year before.<br/>According to the report, heart disease <br/>and cancer remained the two most <br/>prevalent causes of death in the U.S. .<br/>According to the report, heart disease <br/>and cancer remained the two most <br/>prevalent causes of death in the U.S. .<br/>COVID-19 dropped to fourth on <br/>the list, and unintentional injuries <br/>took over the number three spot.<br/>COVID-19 dropped to fourth on <br/>the list, and unintentional injuries <br/>took over the number three spot.<br/>ABC reports that both males and <br/>females saw approximately the same <br/>increase in life expectancy from 2021 to 2022.<br/>Over the same period of time, <br/>the death rate decreased <br/>for nearly every age group. .<br/>Another NCHS report found that rates of <br/>drug overdose deaths from synthetic opioids <br/>increased by 4.1% between 2021 and 2022.
⏲ 1:30 👁 11.3M
House price rose 0.6% in March. New data is showing landlords have started flooding back into the market, making it even harder for first home buyers.
⏲ 1:55 👁 135K
A Villa Blanc il workshop 'Data Governance in the Public Sector' from mca view public data
⏲ 2:19 👁 55K
• Noise Color Sounds for Relaxing Ambie...<br/>soothing white noise sounds featuring a black screen. This relaxing white noise is great for helping you sleep, study or focus. With the black screen, you'll benefit by keeping the room dark while sleeping, saving battery life, reducing data usage and not having to worry about screen burn-in. Sometimes the key to relaxation is to keep it simple <br/>Block out distractions and create a peaceful ambience with this 1 minute white noise video.<br/>White noise a pleasant sounding full spectrum sound. Many use it for sleep, relaxing or focus by masking others nearby sounds. It is most recognizable as the static sound heard on (analog) television or radio. It is one of many noise colors each with different frequency responses:<br/>White Noise frequency response is even across the human listening spectrum, aka a flat response. This makes it ideal for testing speaker, microphones frequency response by playing it back and measuring the sound with a real time spectrum analyzer (RTA).<br/>Noise is present at low levels in analog recording and often known as hiss, static or fuzz. Listeners argue that even if the noise is undetectable in hearing tests, it improves the listening experience<br/>Perhaps this is because White Noise, and its sonic relatives, Pink, Green, Brown, Blue, Grey and Violet Noise sonically permeate the environment humankind has lived in since the dawn of listening. Streams, rivers, oceans, the wind in the trees, rain, vehicles, machinery, footsteps on gravel or leaves, fire and even sounds heard by babies in the womb are a few examples of noise in our environment. Can you think of more natural White Noise examples?<br/><br/>Enjoy
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