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POLITICO Playbook: Inside the Gridiron – Politico

"To me, Chicago is a lot like the White House. They both have a large and vibrant Russian community," former Chicago Mayor Rahm Emmanuel said at the Gridiron winter dinner. | Scott Olson/Getty Images

A FEW FUNNIES from the GRIDIRON WINTER DINNER: RAHM EMANUEL: Here we are, on December 7, the day the president reminds us that Ukraine bombed Pearl Harbor Some more about me: Im Jewish, so like Elizabeth Warren, Im a member of the tribe. To me, Chicago is a lot like the White House. They both have a large and vibrant Russian community I see cameras are banned from this event, which explains why AOC is not here

HILLARY CLINTON is now saying many, many, many people are now asking her to run. So now lets cut to the chase: are any of those people from Wisconsin, Michigan or Pennsylvania? In fact, are any of them Democrats? Joe [Biden] says he cannot remember when hes had more fun on the campaign trail. Literally: he cannot remember

SEN. ROY BLUNT (R-MO.): Im really known by most of these reporters or at least referred to by most of these reporters as unnamed source Why is it in Washington everytime someone wants to do something nefarious they go incognito, they pick suggestive names like Deep Throat, or Carlos Danger, or Pierre Delecto, or Wolf Blitzer or Carl Leubsdorf. Names you couldnt possibly get any other way besides making them up.

NOT AT THE GRIDIRON THE PRESIDENT, last night in Hollywood, Fla., at the Israeli American Councils national meeting on a Middle East peace deal, via MERIDITH MCGRAW, who was with the president: I love deals and I was told the toughest of all deals is peace with Israel and the Palestinians. But if Jared Kushner can't do it, it can't be done." Meridiths story

-- MIAMI HERALD on the Florida GOP dinner TRUMP attended: He also pulled an unusual move, bringing on stage Army 1st Lt. Clint Lorance and Maj. Mathew Golsteyn, who Trump pardoned last month for cases involving war crimes. Lorance was serving a 19-year sentence for ordering his soldiers shoot at unarmed men in Afghanistan, and Golsteyn was to stand trial for the 2010 extrajudicial killing of a suspected bomb maker. Miami Herald

THE SHOOTING IN PENSACOLA

-- WAPO: Investigation broadened in Pensacola Navy base shooting, by T.S. Strickland in Pensacola, Ellen Nakashima, Joby Warrick and Hannah Knowles: FBI officials broadened their probe Saturday into the deadly shooting rampage at a Navy flight school here amid reports that several of the gunmans Saudi compatriots took video footage as the attack was underway.

Law enforcement officials combed through the shooters belongings and social media accounts on Saturday while questioning six other Saudi nationals, at least some of them fellow students in the same Navy flight training program. Three of the Saudis were said to have taken cellphone video at the scene, according to a U.S. official familiar with investigation. The official spoke on the condition of anonymity to discuss an ongoing probe. WaPo

-- AP/PENSACOLA: Official: Base shooter watched shooting videos before attack: The Saudi student who fatally shot three sailors at a U.S. naval base in Florida hosted a dinner party earlier in the week where he and three others watched videos of mass shootings, a U.S. official told The Associated Press on Saturday. AP

-- PENSACOLA NEWS JOURNAL on the victims: Airman Mohammed Sameh Hathaim, 19, from St. Petersburg, Florida. He enlisted July 18 and reported to the Recruit Training Command at Great Lakes, Illinois. He reported to Pensacola on Sept. 21 and had earned the Navy Basic Military Training Honor Graduate Ribbon.

Ensign Joshua Kaleb Watson, 23, from Coffee, Alabama. He was a graduate of the U.S. Naval Academy in Annapolis who was commissioned May 24 and reported for duty in Pensacola on Nov. 15. Airman Apprentice Cameron Scott Walters, 21, from Richmond Hill, Georgia. He enlisted Sept. 16 and also reported to the Recruit Training Command at Great Lakes before he reported to Pensacola on Nov. 24. PNJ

-- NYTS DAVID SANGER in Fort Lauderdale, Fla.: For Trump, Instinct After Florida Killings Is Simple: Protect Saudis: When a Saudi Air Force officer opened fire on his classmates at a naval base in Pensacola, Fla., on Friday, he killed three, wounded eight and exposed anew the strange dynamic between President Trump and the Saudi leadership: The presidents first instinct was to tamp down any suggestion that the Saudi government needed to be held to account.

Hours later, Mr. Trump announced on Twitter that he had received a condolence call from King Salman of Saudi Arabia, who clearly sought to ensure that the episode did not further fracture their relationship. On Saturday, leaving the White House for a trip here for a Republican fund-raiser and a speech on Israeli-American relations, Mr. Trump told reporters that they are devastated in Saudi Arabia, noting that the king will be involved in taking care of families and loved ones. He never used the word terrorism.

What was missing was any assurance that the Saudis would aid in the investigation, help identify the suspects motives, or answer the many questions about the vetting process for a coveted slot at one of the countrys premier schools for training allied officers. Or, more broadly, why the United States continues to train members of the Saudi military even as that same military faces credible accusations of repeated human rights abuses in Yemen, including the dropping of munitions that maximize civilian casualties.

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SUNDAY BEST NEW SCREENING OF FOREIGNERS ... CHRIS WALLACE spoke to DEFENSE SECRETARY MARK ESPER on FOX NEWS SUNDAY: ESPER: One of the first things I did yesterday, in the wake of this incident, was I spoke to my deputy secretary, the acting Navy secretary and others to say I want to immediately make sure we put out an advisory to all of our bases, installations and facilities and make sure we're taking all necessary precautions appropriate to the particular base to make sure our people are safe and secure. That's number one. Number two, I ask that we begin a review of what our screening procedures are with regard to foreign nationals coming to the United States.

ON THE RELATIONSHIP WITH THE KINGDOM GEORGE STEPAHANOPOULOS spoke to REP. MATT GAETZ (R-FLA.) on ABCS THIS WEEK: GAETZ: Of course, what happened in Pensacola has to inform on our ongoing relationship with Saudi Arabia. That is the message I directly delivered to the Saudi ambassador when she called to offer her condolences.

There are Saudis that are currently with us that are being investigated, and I made the point as clearly as I possibly could that we want no interference from the kingdom as it relates to Saudis that we have, and if there are Saudis that we do not have that may have been involved in any way in the planning, inspiration, financing or execution of this, that we expect Saudi intelligence to work with our government to find the people accountable and hold them responsible.

A message from BP:

NOW FOR IMPEACHMENT

-- NEW CHUCK TODD spoke to REP. JERRY NADLER (D-N.Y.) on NBCS MEET THE PRESS. NADLER said articles of impeachment coming THIS WEEK: There will be a lot of consultations, I assume, between members of the committee, with the House leadership, with members of the House. And we'll have to make those decisions. So we'll bring articles of impeachment, presumably, before the committee at some point later in the week.

-- PERHAPS A VOTE LATER, NADLER told DANA BASH on CNNS STATE OF THE UNION: BASH: Is it possible that you are going to vote on articles of impeachment this coming week? NADLER: It's possible. I don't know. BASH: Is that your goal? NADLER: My goal is to vote -- is to do this.... BASH: In terms of the timeline. NADLER: My goal is to do it as expeditiously, but as fairly as possible, depending how long it takes.

KYLE CHENEY and DARREN SAMUELSOHN: House Dems refresh Nixon-era impeachment report for Trump: The staff of the House Judiciary Committee on Saturday issued a historic report laying the groundwork to impeach President Donald Trump, outlining in Constitutional terms what the panel believes amounts to an impeachable offense.

Chairman Jerrold Nadler described the 55-page analysis as the heir to the only similar report produced by the Judiciary Committee, which was released during the impeachment proceedings against Richard Nixon. That document was updated during the Bill Clinton impeachment but not fully rewritten. The 55-page report

SCENE SETTER MARK LEIBOVICH and NICK FANDOS on NYT, A1: Behind the Scenes of Impeachment: Crammed Offices, Late Nights, Cold Pizza: In cramped spaces in the Rayburn and Longworth House Office Buildings, as well as the speakers suite, the final articles of impeachment are being incubated in the shadow of the Capitol dome. It is a frantic backstage tableau of Washington anthropology, populated by Judiciary and Intelligence Committee aides, lawmakers and counsels hunched over computer screens and yellow legal pads.

History can get cluttered sometimes. The rooms are littered with empty soda cans, pie leftover from Thanksgiving and boxes pulled from shelves containing files from past impeachments. There are recurrent calls for tech support, caffeine and blankets, because the rooms can get cold, like the pizza. With so much grand talk about constitutional duties and respecting the founders and honoring oaths, there is also the mundane and the workaday. NYT

ALSO FROM MATT GAETZ on THIS WEEK On RUDY GIULIANIS trip to UKRAINE: It is weird that he's over there. REP. MARK MEADOWS said this to DANA BASH on CNNS STATE OF THE UNION: I don't know that any role -- I don't know of any role that Rudy Giuliani is playing on behalf of the president of the United States. I think he's over there as a citizen. I think part of that is probably trying to clear his name.

SNEAK PEEK THE PRESIDENTS WEEK: Monday: PRESIDENT TRUMP will have lunch with VP MIKE PENCE, and will participate in a roundtable on empowering families with education choice Tuesday: THE PRESIDENT will travel to Hershey, Pa., for a political rally. Wednesday: THE PRESIDENT will go to the ceremonial swearing in of Energy Secretary Dan Brouillette, and he will host a Hanukkah reception.

Thursday: THE PRESIDENT will speak at the White House Summit on Child Care and Paid Leave: Supporting Americas Working Families, and will attend the Congressional Ball. Friday: The president of PARAGUAY will be at the White House.

A message from BP:

Good Sunday morning. SPOTTED: Hillary Clinton at Politics and Prose on Connecticut Avenue Saturday evening. Photos, via Kate Woodsome

HARTFORD COURANT FRONT PAGE: Low-profile prosecutor leads high-profile hunt: John Durham of Connecticut digs into origin of Trump collusion claims

A DAN DIAMOND CLASSIC: Medicare chief asked taxpayers to cover stolen jewelry: A top Trump health appointee sought to have taxpayers reimburse her for the costs of jewelry, clothing and other possessions, including a $5,900 Ivanka Trump-brand pendant, that were stolen while in her luggage during a work-related trip, according to documents obtained by POLITICO.

Seema Verma, who runs the Centers for Medicare and Medicaid Services, filed a $47,000 claim for lost property on Aug. 20, 2018, after her bags were stolen while she was giving a speech in San Francisco the prior month. The property was not insured, Verma wrote in her filing to the Health and Human Services department.

The federal health department ultimately reimbursed Verma $2,852.40 for her claim, a CMS spokesperson said. Vermas claim included $43,065 for about two dozen pieces of jewelry, based off an appraisal she'd received from a jeweler about three weeks after the theft. Among Verma's stolen jewelry was an Ivanka Trump-brand pendant, made of gold, prasiolite and diamonds, that Vermas jeweler valued at $5,900.

Vermas claim also included about $2,000 to cover the cost of her stolen clothes and another $2,000 to cover the cost of other stolen goods, including a $325 claim for moisturizer and a $349 claim for noise-cancelling headphones.

FRONT PAGE OF THE LEXINGTON HERALD-LEADER: Bevin mum on contract to investigate Steve Beshear

2020 WATCH

-- WAPOS DAN BALZ: Will impeachment be forgotten by November 2020? Dont be so sure.

-- BOSTON GLOBES JAMES PINDELL: Tiny Dixville Notch may see its midnight tradition disappear: [W]ith the 2020 New Hampshire presidential primary less than 10 weeks away, it is increasingly likely that the Dixville Notch tradition is dead, victim of a shrinking population too small to meet the legal threshold of five residents to be a polling place.

It is what it is, said Tom Tillotson, one of four residents of Dixville Notch, the town moderator and son of the creator of the midnight voting concept in the unincorporated town. This is obviously not what I wanted to see happen.

The probable demise of the Dixville tradition comes as the first-in-the-nation New Hampshire primary is fading in other ways. The small house parties, face-to-face glad handing, and herculean efforts to secure endorsements from small-town officials have given way to national polls, cable-TV debates, and rock-star candidates who command arenas from day one. Boston Globe Front page PDF

-- WAPO: Mike Bloombergs money buys him a very different kind of campaign. And its a big one, by Isaac-Stanley Becker and Michael Scherer, with an Augusta, Ga., dateline: After two weeks in the presidential race, Mike Bloomberg now employs one of the largest campaign staff rosters, has spent more money on ads than all the top-polling Democrats combined and is simultaneously building out ground operations in 27 states.

But when the former New York mayor showed up to get the endorsement of Augusta Mayor Hardie Davis Jr. on Friday, only two of the 10 chairs initially placed before the lectern were occupied. When Bloomberg joked about his college years, saying he was one of the students who made the top half of the class possible, he was met by silence.

Youre supposed to laugh at that, folks, Bloomberg said to a room at the citys African American history museum filled mostly with staff and media. For a normal presidential campaign, such moments would be a worrying sign, a potentially viral metaphor for a struggling effort. But with the Bloomberg campaign, it is not at all clear what established rules apply, if any. Everything he is doing is so unlike what has been done for decades that it is difficult to decipher how voters will react. WaPo

THE PRESIDENTS SUNDAY THE PRESIDENT and first lady are scheduled to attend a Childrens Reception at 12:30 p.m. in the Blue Room.

PHOTO DU JOUR: A U.S. Marine stands in front of the USS Missouri on Saturday, during a ceremony to mark the 78th anniversary of the Japanese attack on Pearl Harbor. | Caleb Jones/AP Photo

TOP-ED KATIE HILL in the NYT: Its Not Over After All: I overcame the desperation I felt after stepping down from Congress, and Im still in the fight.

BONUS GREAT WEEKEND READS, curated by Daniel Lippman (@dlippman):

-- Video Games and Online Chats Are Hunting Grounds for Sexual Predators, by NYTs Nellie Bowles and Michael H. Keller: Criminals are making virtual connections with children through gaming and social media platforms. One popular site warns visitors, Please be careful. NYT

-- Why Mike Posner Walked Across America, by Caitlin Giddings in Outside Magazine: Years after he took that pill in Ibiza, Grammy nominee Mike Posner left behind his life in L.A. to go on a 2,851-mile journey in search of... something. Heres what he learned about grief, motivation, struggle, and authenticity. Outside

-- The Epic Rise and Hard Fall of New Yorks Taxi King, by NYTs Brian M. Rosenthal: A Russian immigrant and a cabdrivers son who got his nickname by building the citys biggest fleet, [Evgeny A.] Freidman was a primary architect of some of the tactics used to build the bubble ... At the height of the market, he had accumulated $525 million in assets. He befriended the filmmaker Spike Lee, the baseball star Mo Vaughn and Mayor Bill de Blasio. His outsize antics and lavish spending often landed him on Page Six, the New York Posts gossip column. NYT

-- The Octopus from Outer Space, by James Ross Gardner in Seattle Met per Longreads.coms description: Gardner explores the Pacific Northwests evolving relationship with the octopus and how theyve gone from dangerous devil-fish bent on drowning unsuspecting sea goers to intensely curious, suction-cupped wonders. With nine brains one in their head and one in each of their eight arms octopuses are thought to be the most intelligent invertebrates on earth, capable of deep connection with humans. Seattle Met

-- The confession, by WaPos Peter Jamison in Bean Blossom, Ind.: Heil Trump and an anti-gay slur were scrawled on an Indiana church right after Trumps election. The investigation led to an unlikely suspect and the discovery of a hate crime hoax. WaPo

-- The New China Scare, by Fareed Zakaria in Foreign Affairs: The United States risks squandering the hard-won gains from four decades of engagement with China, encouraging Beijing to adopt confrontational policies of its own, and leading the worlds two largest economies into a treacherous conflict of unknown scale and scope that will inevitably cause decades of instability and insecurity. A cold war with China is likely to be much longer and more costly than the one with the Soviet Union, with an uncertain outcome. Foreign Affairs (hat tip: TheBrowser.com)

-- An Unbelievable Story of Rape, by T. Christian Miller and Ken Armstrong in ProPublica and the Marshall Project in Dec. 2015: An 18-year-old said she was attacked at knifepoint. Then she said she made it up. Thats where our story begins. ProPublica

-- How Racism Ripples Through Rural Californias Pipes, by NYTs Jose A. Del Real in Teviston, Calif.: In the 20th century, Californias black farmworkers settled in waterless colonies. The history endures underground, through old pipes, dry wells and shoddy septic tanks. NYT

-- Hippie Inc: how the counterculture went corporate, by Nat Segnit in the Dec./Jan. issue of 1843 Magazine: Half a century on from the summer of love, marijuana is big business and mindfulness a workplace routine. Nat Segnit asks how the movement found itself at the heart of capitalism. 1843 (h/t Longform.org)

-- How Ring Went From Shark Tank Reject to Americas Scariest Surveillance Company, by Caroline Haskins in Vice: Amazon's Ring started from humble roots as a smart doorbell company called DoorBot. Now its surveilling the suburbs and partnering with police. Vice

-- The False Promise of Morning Routines, by The Atlantics Marina Koren: Why everyones mornings seem more productive than yours. Atlantic

-- Your Honor, Can I Tell The Whole Story? by Nick Chrastil in The Atavist: To read the transcript of Erin Hunters trial, which runs all of 81 pages and can be digested in half an hour, is to encounter a disregard for human dignity instrumental in producing the most sprawling system of incarceration in the world. Atavist (h/t Longform.org)

Send tips to Eli Okun and Garrett Ross at politicoplaybook@politico.com.

SPOTTED at a book party for Tom Rosenstiels book, Oppo: A Novel ($26.64 on Amazon): Ruth Marcus, E.J. Dionne, Luke Albee, John Podesta, Jon Leibowitz, Len Downie, Amanda Bennett, Mike McCurry, J.J. Yore, Alan Miller, John Gomperts, Tamera Luzzatto, David Leiter and Jon Haber.

SPOTTED at Microsofts Suhail Khans 50th birthday party at Union Stage at the Wharf on Saturday night: Grover Norquist, Jim Rowland, Glynda Becker, Wil Gravatt, Ximena Barreto, Susan Benhoff, Travis Korson, David Ferguson, Rebecca Furdek, Tania Mercado, Grace Morgan and Geoff Smith.

TRANSITION -- Anthony Ornato will be deputy chief of staff for operations at the White House. He previously was deputy assistant director for the Secret Service.

ENGAGED -- Kara Voght, a national politics reporter at Mother Jones, and Ben Cushing, a campaign representative at the Sierra Club, got engaged Saturday night at the Line Hotel. The couple, who met on Bumble, have been dating for two years. Pic

BIRTHDAYS: Ann Coulter is 58 Sabrina Siddiqui, WSJ reporter and CNN political analyst Kerri Kupec, director of public affairs at DOJ former World Bank President Jim Yong Kim is 6-0 Aaron Kissel, POLITICOs VP of product, is 45 (h/t Patrick Steel) APs Pablo Martinez Monsivais Debra Saunders, Las Vegas Review-Journal White House correspondent Judd Legum Brooke Lorenz, senior manager for communications at CBS Rachel Sklar Lizzie OLeary (h/ts Ben Chang) Marc Burstein, senior executive producer at ABC News POLITICOs Annie Yu and Danica Stanciu ... Ginny Badanes, director of strategic projects for cybersecurity and democracy at Microsoft ... Brie Sachse, managing director and head of state and local external affairs at Siemens ... Cayman Clevenger Nick Colvin

Elyse Perlmutter-Gumbiner, NBC News White House producer Jena Baker McNeil Preston Hill Steve Bouchard (h/t Jon Haber) former Rep. Ral Labrador (R-Idaho) is 52 Stephen Spaulding, elections counsel for the House Administration Committee ... Kevin Carski ... BBCs Samantha Granville ... P. Lynn Scarlett Honey Sharp (h/t son Daniel Lippman) Sylvester Okere Courtney Johnson Luis Rosero Karen Keller of FP1 Strategies and PLUS Communications B.R. McConnon of DDC Emily Leaman Solange Uwimana Alison (Matarazzo) Edwards Jen Minton Anna Miller Tom Bush Austin James Milwaukee Mayor Tom Barrett is 66 Jeff Neubauer Jackie Gran Nancy Balz (h/ts Teresa Vilmain) Randy Altschuler is 49

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POLITICO Playbook: Inside the Gridiron - Politico

10 Machine Learning Techniques and their Definitions – AiThority

When one technology replaces another, its not easy to accurately ascertain how the new technology would impact our lives. With so much buzz around the modern applications of Artificial Intelligence, Machine Learning, and Data Science, it becomes difficult to track the developments of these technologies. Machine Learning, in particular, has undergone a remarkable evolution in recent years. Many Machine Learning (ML) techniques have come in the foreground recently, most of which go beyond the traditionally simple classifications of this highly scientific Data Science specialization.

Read More: Beyond RPA And Cognitive Document Automation: Intelligent Automation At Scale

Lets point out the top ML techniques that the industry leaders and investors are keenly following, their definition, and commercial application.

Perceptual Learning is the scientific technique of enabling AI ML algorithms with better perception abilities to categorize and differentiate spatial and temporal patterns in the physical world.

For humans, Perceptual Learning is mostly instinctive and condition-driven. It means humans learn perceptual skills without actual awareness. In the case of machines, these learning skills are mapped implicitly using sensors, mechanoreceptors, and connected intelligent machines.

Most AI ML engineering companies boast of developing and delivering AI ML models that run on an automated platform. They openly challenge the presence and need for a Data Scientist in the Engineering process.

Automated Machine Learning (AutoML) is defined as the fully automating the entire process of Machine Learning model development right up till the process of its application.

AutoML enables companies to leverage AI ML models in an automated environment without truly seeking the involvement and supervision of Data Scientists, AI Engineers or Analysts.

Google, Baidu, IBM, Amazon, H2O, and a bunch of other technology-innovation companies already offer a host of AutoML environment for many commercial applications. These applications have swept into every possible business in every industry, including in Healthcare, Manufacturing, FinTech, Marketing and Sales, Retail, Sports and more.

Bayesian Machine Learning is a unique specialization within AI ML projects that leverage statistical models along with Data Science techniques. Any ML technique that uses the Bayes Theorem and Bayesian statistical modeling approach in Machine Learning fall under the purview of Bayesian Machine Learning.

The contemporary applications of Bayesian ML involves the use of open-source coding platform Python. Unique applications include

A good ML program would be expected to perpetually learn to perform a set of complex tasks. This learning mechanism is understood from the specialized branch of AI ML techniques, called Meta-Learning.

The industry-wide definition for Meta-Learning is the ability to learn and generalize AI into different real-world scenarios encountered during the ML training time, using specific volume and variety of data.

Meta-Learning techniques can be further differentiated into three categories

In each of these categories, there is a unique learner, meta-learner, and vectors with labels that match Data-Time-Spatial vectors into a set of networking processes to weigh real-world scenarios labeled with context and inferences.

All the recent Image Processing and Voice Search techniques use the Meta-Learning techniques for their outcomes.

Adversarial ML is one of the fastest-growing and most sophisticated of all ML techniques. It is defined as the ML technique adopted to test and validate the effectiveness of any Machine Learning program in an adverse situation.

As the name suggests, its the antagonistic principle of genuine AI, but used nonetheless to test the veracity of any ML technique when it encounters a unique, adverse situation. It is mostly used to fool an ML model into doubting its own results, thereby leading to a malfunction.

Most ML models are capable of generating answer for one single parameter. But, can it be used to answer for x (unknown or variable) parameter. Thats where the Causal Inference ML techniques comes into play.

Most AI ML courses online are teaching Causal inference as a core ML modeling technique. Causal inference ML technique is defined as the causal reasoning process to draw a unique conclusion based on the impact variables and conditions have on the outcome. This technique is further categorized into Observational ML and Interventional ML, depending on what is driving the Causal Inference algorithm.

Also commercially popularized as Explainable AI (X AI), this technique involves the use of neural networking and interpretation models to make ML structures more easily understood by humans.

Deep Learning Interpretability is defined as the ML specialization to remove black boxes in AI models, providing decision-makers and data officers to understand data modeling structures and legally permit the use of AI ML for general purposes.

The ML technique may use one or more of these techniques for Deep Learning Interpretation.

Any data can be accurately plotted using graphs. In Machine Learning techniques, a graph is a data structure consisting of two components, Vertices (or nodes) and Edges.

Graph ML networks is a specialized ML technique used to connect problems with edges and graphs. Graph Neural Networks (NNs) give rise to the category of Connected NNs (CNSS) and AI NNs (ANN).

There are at least 50 more ML techniques that could be learned and deployed using various NN models and systems. Click here to know of the leading ML companies that are constantly transforming Data Science applications with AI ML techniques.

(To share your insights about ML techniques and commercial applications, please write to us at info@aithority.com)

Read more here:

10 Machine Learning Techniques and their Definitions - AiThority

Managing Big Data in Real-Time with AI and Machine Learning – Database Trends and Applications

Processing big data in real-time for artificial intelligence, machine learning, and the Internet of Things poses significant infrastructure challenges.

Whether it is for autonomous vehicles, connected devices, or scientific research, legacy NoSQL solutions often struggle at hyperscale. Theyve been built on top of existing RDBMs and tend to strain when looking to analyze and act upon data at hyperscale - petabytes and beyond.

DBTA recently held a webinar featuring Theresa Melvin, chief architect of AI-driven big data solutions, HPE, and Noel Yuhanna, principal analyst serving enterprise architecture professionals, Forrester, who discussed trends in what enterprises are doing to manage big data in real-time.

Data is the new currency and it is driving todays business strategy to fuel innovation and growth, Yuhanna said.

According to a Forrester survey, the top data challenges are data governance, data silos, and data growth, he explained.

More than 35% of enterprises have failed to get value from big data projects largely because of skills, budget, complexity and strategy. Most organizations are dealing with growing multi-format data volume thats in multiple repositories -relational, NoSQL, Hadoop, data lake..

The need has grown for real-time and agile data requirements, he explained. There are too many data silos multiple repositories, cloud sources.

There is a lack of visibility into data across personas -- developer, data scientist, data engineers, data architects, security etc..Traditional data platforms have failed to support new business requirements such as data warehouse, relational DBMS, and ETL tools.

Its all about the customer and its critical for organizations to have a platform to succeed, Yuhanna said. Customers prefer personalization. Companies are still early on their AI journey but they believe it will improve efficiency and effectiveness.

AI and machine learning can hyper-personalize customer experience with targeted offers, he explained. It can also prevent line shutdowns by predicting machine failures.

AI is not one technology. It is comprised of one or more building block technologies. According to the Forrester survey, Yuhanna said AI/ML for data will help end-users and customers to support data intelligence to support new next-generation use cases such as customer personalization, fraud detection, advanced IoT analytics and rea-time data sharing and collaboration.

AI/ML as a platform feature will help support automation within the BI platform for data integration, data quality, security, governance, transformation, etc., minimizing human effort required. This helps deliver insights quicker in hours instead of days and months.

Melvin suggested using HPE Persistent Memory. The platform offers real-time analysis, real-time persist, a single source of truth, and a persistent record.

An archived on-demand replay of this webinar is available here.

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Managing Big Data in Real-Time with AI and Machine Learning - Database Trends and Applications

The NFL And Amazon Want To Transform Player Health Through Machine Learning – Forbes

The NFL and Amazon announced an expansion of their partnership at their annual AWS re:Invent ... [+] conference in Las Vegas that will use artificial intelligence and machine learning to combat player injuries. (Photo by Michael Zagaris/San Francisco 49ers/Getty Images)

Injury prevention in sports is one of the most important issues facing a number of leagues. This is particularly true in the NFL, due to the brutal nature of that punishing sport, which leaves many players sidelined at some point during the season. A number of startups are utilizing technology to address football injury issues, specifically limiting the incidence of concussions. Now, one of the largest companies in the world is working with the league in these efforts.

A week after partnering with the Seattle Seahawks on its machine learning/artificial intelligence offerings, Amazon announced a partnership Thursday in which the technology giant will use those same tools to combat football injuries. Amazon has been involved with the league, with its Next Gen Stats partnership, and now the two companies will work to advance player health and safety as the sport moves forward after its 100th season this year. Amazons AWS cloud services will use its software to gather and analyze large volumes of player health data and scan video images with the objective of helping teams treat injuries and rehabilitate players more effectively. The larger goal will be to create a new Digital Athlete platform to anticipate injury before it even takes place.

This partnership expands the quickly growing relationship between the NFL and Amazon/AWS. as the two have already teamed up for two years with the leagues Thursday Night Football games streamed on the companys Amazon Prime Video platform. Amazon paid $130 million for rights that run through next season. The league also uses AWSs ML Solutions Lab,as well as Amazons SageMaker platform, that enables data scientists and developers to build and develop machine learning models that can also lead to the leagues ultimate goal of predicting and limiting player injury.

The NFL is committed to re-imagining the future of football, said NFL Commissioner Roger Goodell. When we apply next-generation technology to advance player health and safety, everyone wins from players to clubs to fans. The outcomes of our collaboration with AWS and what we will learn about the human body and how injuries happen could reach far beyond football. As we look ahead to our next 100 seasons, were proud to partner with AWS in that endeavor.

The new initiative was announced as part of Amazons AWS re:Invent conference in Las Vegas on Thursday. Among the technologies that AWS and the league announced in its Digital Athlete platform is a computer-simulated model of an NFL player that will model infinite scenarios within NFL gameplay in order to identify a game environment that limits the risk to a player. Digital Athlete uses Amazons full arsenal of technologies, including the AI, ML and computer vision technology that is used with Amazons Rekognition tool and that uses enormous data sets encompassing historical and more modern video to identify a wide variety of solutions, including the prediction of player injury.

By leveraging the breadth and depth of AWS services, the NFL is growing its leadership position in driving innovation and improvements in health and player safety, which is good news not only for NFL players but also for athletes everywhere, said Andy Jassy, CEO of AWS. This partnership represents an opportunity for the NFL and AWS to develop new approaches and advanced tools to prevent injury, both in and potentially beyond football.

These announcements come at a time when more NFL players are utilizing their large platforms to bring awareness to injuries and the enormous impact those injuries have on their bodies. Former New England Patriots tight end Rob Gronkowski has been one of the most productive NFL players at his position in league history but he had to retire from the league this year, at the age of 29, due to a rash of injuries.

The future Hall of Fame player estimated that he suffered probably 20 concussions in his football career. These admissions have significant consequences on youth participation rates in the sport. Partnerships like the one announced yesterday will need to be successful in order for the sport to remain on solid footing heading into the new decade.

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The NFL And Amazon Want To Transform Player Health Through Machine Learning - Forbes

Machine Learning Answers: If Nvidia Stock Drops 10% A Week, Whats The Chance Itll Recoup Its Losses In A Month? – Forbes

Jen-Hsun Huang, president and chief executive officer of Nvidia Corp., gestures as he speaks during ... [+] the company's event at the 2019 Consumer Electronics Show (CES) in Las Vegas, Nevada, U.S., on Sunday, Jan. 6, 2019. CES showcases more than 4,500 exhibiting companies, including manufacturers, developers and suppliers of consumer technology hardware, content, technology delivery systems and more. Photographer: David Paul Morris/Bloomberg

We found that if Nvidia Stock drops 10% or more in a week (5 trading days), there is a solid 36% chance itll recover 10% or more, over the next month (about 20 trading days)

Nvidia stock has seen significant volatility this year. While the company has been impacted by the broader correction in the semiconductor space and the trade war between the U.S. and China, the stock is being supported by a strong long-term outlook for GPU demand amid growing applications in Deep Learning and Artificial Intelligence.

Considering the recent price swings, we started with a simple question that investors could be asking about Nvidia stock: given a certain drop or rise, say a 10% drop in a week, what should we expect for the next week? Is it very likely that the stock will recover the next week? What about the next month or a quarter? You can test a variety of scenarios on the Trefis Machine Learning Engine to calculate if Nvidia stock dropped, whats the chance itll rise.

For example, after a 5% drop over a week (5 trading days), the Trefis machine learning engine says chances of an additional 5% drop over the next month, are about 40%. Quite significant, and helpful to know for someone trying to recover from a loss. Knowing what to expect for almost any scenario is powerful. It can help you avoid rash moves. Given the recent volatility in the market, the mix of macroeconomic events (including the trade war with China and interest rate easing by the U.S. Fed), we think investors can prepare better.

Below, we also discuss a few scenarios and answer common investor questions:

Question 1: Does a rise in Nvidia stock become more likely after a drop?

Answer:

Not really.

Specifically, chances of a 5% rise in Nvidia stock over the next month:

= 40%% after Nvidia stock drops by 5% in a week.

versus,

= 44.5% after Nvidia stock rises by 5% in a week.

Question 2: What about the other way around, does a drop in Nvidia stock become more likely after a rise?

Answer:

No.

Specifically, chances of a 5% decline in Nvidia stock over the next month:

= 40% after NVIDIA stock drops by 5% in a week

versus,

= 27% after NVIDIA stock rises by 5% in a week

Question 3: Does patience pay?

Answer:

According to data and Trefis machine learning engines calculations, largely yes!

Given a drop of 5% in Nvidia stock over a week (5 trading days), while there is only about 28% chance the Nvidia stock will gain 5% over the subsequent week, there is more than 58% chance this will happen in 6 months.

The table below shows the trend:

Trefis

Question 4: What about the possibility of a drop after a rise if you wait for a while?

Answer:

After seeing a rise of 5% over 5 days, the chances of a 5% drop in Nvidia stock are about 30% over the subsequent quarter of waiting (60 trading days). However, this chance drops slightly to about 29% when the waiting period is a year (250 trading days).

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Machine Learning Answers: If Nvidia Stock Drops 10% A Week, Whats The Chance Itll Recoup Its Losses In A Month? - Forbes