The Allstate Corp. (ALL) expects to incur catastrophe loss of $403 million pretax ($262 million after tax) in May 2017.
President Donald J. Trump today announced his first wave of United States Attorney candidates. The United States Attorney serves as the chief Federal law enforcement officer within his or her Federal judicial district. These candidates share the President’s vision for “Making America Safe Again.” Accordingly, the President today announced his intent to nominate these individuals to serve as United States Attorney: If confirmed, D. Michael Dunavant of Tennessee will serve as the United States Attorney for the Western District of Tennessee. D. Michael Dunavant has served as the District Attorney General for the 25th Judicial District in Tennessee since 2006. In that role, he has handled or been involved in major prosecutions, covering the full range of criminal offenses, in a geographic region spanning five counties. From 1995 to 2006, Mr. Dunavant practiced law at the firm of Carney, Wilder & Dunavant. Mr. Dunavant received his B.A. from the University of Tennessee at Knoxville in 1992 and his J.D. from the University of Mississippi School of Law in 1995. If confirmed, Louis V. Franklin, Sr., of Alabama will serve as the United States Attorney for the Middle District of Alabama. Louis V. Franklin has served the United States Attorney’s Office for the Middle District of Alabama for nearly 27 years, including as criminal chief for almost 16 years. Mr. Franklin served as an Assistant United States Attorney from 1990 to 1996 and from 1998 to 2001. From 1996 to 1998, Mr. Franklin was an associate at Sirote and Permutt, where he defended public and private organizations in State and Federal civil litigation. Mr. Franklin began his career as a staff attorney at the Legal Services Corporation of Alabama from 1987 to 1990. Mr. Franklin received his B.A. from the University of Alabama in 1981, an M.S. from Auburn University at Montgomery in 1983, and his J.D. from Howard University School of Law in 1987. If confirmed, Justin E. Herdman of Ohio will serve as the United States Attorney for the Northern District of Ohio. Justin E. Herdman is currently a partner in the Investigations & White Collar Defense practice group at Jones Day. Prior to joining Jones Day, Mr. Herdman served as an Assistant United States Attorney in Cleveland, Ohio. During this time, Mr. Herdman prosecuted several terrorism cases and complex national security matters. Mr. Herdman previously served as an Assistant District Attorney in New York City from 2001 to 2005 and as an associate at Vorys, Sater, Seymour and Pease, LLP. He is currently a Judge Advocate General in the United States Air Force Reserve. Mr. Herdman received his B.A. from Ohio University in 1996, an M.Phil. at the University of Glasgow in 1998, and his J.D. from Harvard Law School in 2001. If confirmed, John W. Huber of Utah will serve as the United States Attorney for the District of Utah. Since June 2015, John W. Huber has served as the United States Attorney for the District of Utah. After serving the District of Utah for nearly two years as a Presidential appointee, Attorney General Jefferson B. Sessions appointed Mr. Huber to continue his service in March 2017. Prior to being named United States Attorney, Mr. Huber served as an Assistant United States Attorney for thirteen years. Mr. Huber began his prosecutorial career in the Weber County (Utah) Attorney’s Office, and later served as the Chief Prosecutor for West Valley City, Utah, before joining the ranks of Federal prosecutors in the United States Attorney’s Office in 2002. Mr. Huber graduated with honors from the University of Utah in 1989, and later received his J.D. from the University of Utah S.J. Quinney College of Law in 1995. If confirmed, Brian J. Kuester of Oklahoma will serve as the United States Attorney for the Eastern District of Oklahoma. Brian J. Kuester currently serves as the District Attorney for District 27 in Oklahoma, a position he has held since 2011. Mr. Kuester was elected in November 2010, and again in 2014. From 2008 to 2010, Mr. Kuester was a Staff Counsel for Allstate Insurance Company. Prior to that, Mr. Kuester served as an Assistant District Attorney for the Tulsa County District Attorney’s Office. From 2000 to 2003, Mr. Kuester was an associate at Robinette & Osmond Law Firm. Prior to receiving his law degree, Mr. Kuester served on two separate police forces in Missouri, in Fulton and in Springfield. Mr. Kuester received his B.S. from Central Missouri State University in 1990 and his J.D. from the University of Tulsa School of Law in 2000. If confirmed, Jessie K. Liu of Virginia will serve as the United States Attorney for the District of Columbia. Ms. Liu is currently Deputy General Counsel for the United States Department of the Treasury. She previously was a partner at the law firms of Morrison & Foerster LLP and Jenner & Block LLP, where her practice focused on litigation, investigations, and compliance. In addition, she has served as an Assistant United States Attorney in the District of Columbia and in several senior positions in the United States Department of Justice, including as Deputy Assistant Attorney General in the Civil Rights Division, counsel to the Deputy Attorney General, and deputy chief of staff for the National Security Division. Ms. Liu clerked for then-Chief Judge Carolyn Dineen King of the United States Court of Appeals for the Fifth Circuit in Houston, Texas. She received her A.B., summa cum laude, from Harvard University and her J.D. from Yale Law School. If confirmed, Richard W. Moore of Alabama will serve as the United States Attorney for the Southern District of Alabama. Richard W. Moore has served as the Inspector General for the Tennessee Valley Authority (TVA) since May 2003 when he was appointed by President George W. Bush and confirmed by the United States Senate. From May 2009 to March 2011, Mr. Moore was the Chairman of the Investigations Committee for the Council of Inspectors General on Integrity and Efficiency (CIGIE). Prior to his appointment as Inspector General, Mr. Moore served as an Assistant United States Attorney for the Southern District of Alabama from 1985 to 2003. During that time, Mr. Moore prosecuted criminal cases involving white collar crimes, official corruption, and general Federal crimes. During his time at the United States Attorney’s Office, Mr. Moore also served as chief of the criminal division, as senior litigation counsel, and as coordinator of the Anti-Terrorism Task Force. Earlier in his career, Mr. Moore was in private practice in Mobile, Alabama, and Cleveland, Ohio. From 1997 to 1998, Mr. Moore was an Atlantic Fellow in Public Policy at Oxford University in England. Mr. Moore received his B.S., summa cum laude, from Spring Hill College in 1974, and his J.D. from the Samford University Cumberland School of Law in 1977. If confirmed, Jay E. Town of Alabama will serve as the United States Attorney for the Northern District of Alabama. Jay Town currently serves as a senior prosecutor in the Madison County District Attorney’s Office, where he has been a prosecutor since 2005. Previously, Mr. Town served as a Judge Advocate General in the United States Marine Corps, where he served on active duty and as a reservist for twelve years. During his Marine Corps service, Mr. Town received several personal and unit decorations. From 2002 to 2005, Mr. Town served as an associate at McElroy, Deutsch, Mulvaney & Carpenter, LLP. Mr. Town received his B.A. from the University of Notre Dame in 1995 and his J.D. from Seton Hall University School of Law in 1998.
WWE Backlash 2017 is set to roll through the Allstate Arena in Chicago, which means "CM Punk" chants galore. But, three years after his dramatic exit, will WWE fans ever move on from the Chicago native?
Allstate Corporation (ALL) expects to incur catastrophe loss of $235 million, pretax ($153 million after tax), in Apr 2017.
Can't wait to see Rachel Lindsay star in her own season of 'The Bachelorette'? Check out our rundown of Season 13's front-runners and villains here.
Allstate Corporation's (ALL) first-quarter 2017 operating earnings per share of $1.64 beat the Zacks Consensus Estimate of $1.04. Earnings also soared 95% year over year on higher revenues.
The Q1 earnings season is in full swing with 57.6% members of the elite S&P 500 Index reporting solid quarterly numbers so far.
Our proven model does not conclusively show that Allstate (ALL) is likely to beat on earnings this quarter.
Let's see if Chubb Limited (CB) stock is a good choice for value-oriented investors right now from multiple angles.
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Руководство американский телеканала Fox News решило расстаться с журналистом и телеведущим Биллом ОРейли, некогда оскорбившим президента России Владимира Путина. Об этом стало известно из заявления пресс-службы телеканала.
On Wednesday, 21st Century Fox (FOXA) officially announced that Bill O'Reilly, host of American cable news juggernaut The O'Reilly Factor, will not be returning to Fox News.
Cincinnati Financial Corporation (CINF) recently announced pre-tax catastrophe loss estimates for the first quarter of 2017.
Artificial intelligence is a hot topic right now. Driven by a fear of losing out, companies in many industries have announced AI-focused initiatives. Unfortunately, most of these efforts will fail. They will fail not because AI is all hype, but because companies are approaching AI-driven innovation incorrectly. And this isn’t the first time companies have made this kind of mistake. Back in the late 1990s, the internet was the big trend. Most companies started online divisions. But there were very few early wins. Once the dot-com bust happened, these companies shut down or significantly downscaled their online efforts. A few years later they were caught napping when online upstarts disrupted industries such as music, travel, news, and video, while transforming scores of others. In the mid-2000s, the buzz was about cloud computing. Once again, several companies decided to test the waters. There were several early issues, ranging from regulatory compliance to security. Many organizations backed off from moving their data and applications to the cloud. The ones that persisted are incredibly well-positioned today, having transformed their business processes and enabled a level of agility that competitors cannot easily mimic. The vast majority are still playing catch-up. Insight Center The Age of AI Sponsored by Accenture How it will impact business, industry, and society. We believe that a similar story of early failures leading to irrational retreats will occur with AI. Already, evidence suggests that early AI pilots are unlikely to produce the dramatic results that technology enthusiasts predict. For example, early efforts of companies developing chatbots for Facebook’s Messenger platform saw 70% failure rates in handling user requests. Yet a reversal on these initiatives among large companies would be a mistake. The potential of AI to transform industries truly is enormous. Recent research from McKinsey Global Institute found that 45% of work activities could potentially be automated by today’s technologies, and 80% of that is enabled by machine learning. The report also highlighted that companies across many sectors, such as manufacturing and health care, have captured less than 30% of the potential from their data and analytics investments. Early failures are often used to slow or completely end these investments. AI is a paradigm shift for organizations that have yet to fully embrace and see results from even basic analytics. So creating organizational learning in the new platform is far more important than seeing a big impact in the short run. But how does a manager justify continuing to invest in AI if the first few initiatives don’t produce results? Related Video A.I. Could Liberate 50% of Managers' Time Here's what they should focus on. Save Share See More Videos > See More Videos > We suggest taking a portfolio approach to AI projects: a mix of projects that might generate quick wins and long-term projects focused on transforming end-to-end workflow. For quick wins, one might focus on changing internal employee touchpoints, using recent advances in speech, vision, and language understanding. Examples of these projects might be a voice interface to help pharmacists look up substitute drugs, or a tool to schedule internal meetings. These are areas in which recently available, off-the-shelf AI tools, such as Google’s Cloud Speech API and Nuance’s speech recognition API, can be used, and they don’t require massive investment in training and hiring. (Disclosure: One of us is an executive at Alphabet Inc., the parent company of Google.) They will not be transformational, but they will help build consensus on the potential of AI. Such projects also help organizations gain experience with large-scale data gathering, processing, and labeling, skills that companies must have before embarking on more-ambitious AI projects. For long-term projects, one might go beyond point optimization, to rethinking end-to-end processes, which is the area in which companies are likely to see the greatest impact. For example, an insurer could take a business process such as claims processing and automate it entirely, using speech and vision understanding. Allstate car insurance already allows users to take photos of auto damage and settle their claims on a mobile app. Technology that’s been trained on photos from past claims can accurately estimate the extent of the damage and automate the whole process. As companies such as Google have learned, building such high-value workflow automation requires not just off-the-shelf technology but also organizational skills in training machine learning algorithms. As Google pursued its goal of transitioning into an AI-first company, it followed a similar portfolio-based approach. The initial focus was on incorporating machine learning into a few subcomponents of a system (e.g., spam detection in Gmail), but now the company is using machine learning to replace entire sets of systems. Further, to increase organizational learning, the company is dispersing machine learning experts across product groups and training thousands of software engineers, across all Google products, in basic machine learning. This all leads to the question of how best to recruit the resources for these efforts. The good news is that emerging marketplaces for AI algorithms and datasets, such as Algorithmia and the Google-owned Kaggle, coupled with scalable, cloud-based infrastructure that is custom-built for artificial intelligence, are lowering barriers. Algorithms, data, and IT infrastructure for large-scale machine learning are becoming accessible to even small and medium-size businesses. Further, the cost of artificial intelligence talent is coming down as the supply of trained professionals increases. Just as the cost of building a mobile app went from $200,000–$300,000 in 2010 to less than $10,000 today with better development tools, standardization around few platforms (Android and iOS), and increased supply of mobile developers, similar price deflation in the cost of building AI-powered systems is coming. The implication is that there is no need for firms to frontload their hiring. Hiring slowly, yet consistently, over time and making use of marketplaces for machine learning software and infrastructure can help keep costs manageable. There is little doubt that an AI frenzy is starting to bubble up. We believe AI will indeed transform industries. But the companies that will succeed with AI are the ones that focus on creating organizational learning and changing organizational DNA. And the ones that embrace a portfolio approach rather than concentrating their efforts on that one big win will be best positioned to harness the transformative power of artificial learning.
Allstate (ALL) reported earnings 30 days ago. What's next for the stock? We take a look at earnings estimates for some clues.