Page 1,961«..1020..1,9601,9611,9621,963..1,9701,980..»

Jordan Petersons Pro-Putin Punditry – The Bulwark

Jordan Peterson, the Canadian psychologist and anti-woke crusader who has stirred controversy and garnered praise, opprobrium, and ridicule for his pronouncements on postmodernism, neo-Marxism, gender, morality, and the rules of successful living, has donned a new pundit hat to opine on Russia, Ukraine, the war, and the West. The maverick professor lays out his thoughts on the subject in a 50-minute video that garnered over 1.4 million views in the week since it was posted; the transcript can be found on the Daily Wire, where Peterson is now a regular contributor. Unfortunately, the main conclusion one can derive from the video is that creeping pro-Kremlin sentiment is a real problem in certain social conservative quartersand its an ugly thing.

Peterson starts with the obligatory I think what Putin has done is unconscionable disclaimer, and he even throws in a denunciation of the collusion of the leadership of the Russian Orthodox Church. But it doesnt take long to reach the inevitable but: Theres a need, Peterson says, to deeply understand the motive forces for this war in order to end it and prevent similar future conflicts.

Fair enough. Peterson mentions his March 4 interview with foreign policy scholar Frederick Kagan, who put forward the thesis that Vladimir Putin is a prototypical authoritarianor even a thug in the Hitlerian moldand that Russias invasion of Ukraine is the result of Putins personal desire for empire and power as well as an expression of the imperial expansionism that typified the Soviet Union. But that explanation apparently isnt good enough for Peterson, so he turns to University of Chicago realist John Mearsheimers 2015 lecture, Why Ukraine is the Wests Fault, for an alternative perspective more sympathetic to Russias concerns.

Peterson gravely notes that he was concerned that Mearsheimer might be a Russian apologist, but thankfully that does not seem to be the case. Then he moves on to the apologetics: NATO and EU expansionism into Ukraine . . . has already and will continue to pose an intolerable threat to the Russians, who view Ukraine both as an integral part of the broader Russian sphere of interest and as a necessary buffer between the Europe that has invaded Russia to terrible effect in 1812 and 1941. (By the way: It wasnt Europe that invaded Russia on either of those occasions; it was Napoleon and Hitler, who also invaded numerous countries in Western Europe. If every country that repeatedly got invaded over the course of its history is entitled to an obedient buffer country on its borders, its going to be buffers all around.)

The blame NATO defense of Russias actions is, as Ive written before, bogus. But one part of Petersons elaboration on this argument is so striking that it deserves to be quoted in full:

Mearsheimer states, starkly (and this explains a fair bit of Putins potential motivation) that Russia would rather see Ukraine destroyed, razed to the ground, than comfortably ensconced in the Western sphere of influence.

If true, I would say that this doesnt exactly contradict the authoritarian with a bent for imperial expansionism (or even thug in the Hitlerian mold) take on Putins actions. Neither does a third point Peterson then brings up: that Russia sees Ukraine as a threat to its primarily petro-funded economy, particularly in relation to the European market. Sorry, but if you invade another country and slaughter people to protect your oil and gas trade, it might not make you Hitlerian, but it definitely makes you the baddies.

But even these explanations dont suffice for Peterson, who wants to find the wokeness angle in order to tie all this to his hobbyhorse. Here, according to Peterson, is the real story:

Putin regards the current West as decadent to the point of absolute untrustworthiness, particularly on the cultural and religious front. . . . And whether he believes this or notand I believe he doeshe is certainly able and willing to use the story of our degeneration to make his people wary of us and to convince them of the necessity of his leadership and to unite them in supporting his actions in Ukraine. . . .

And are we degenerate, in a profoundly threatening manner? I think the answer to that may well be yes. The idea that we are ensconced in a culture war has become a rhetorical commonplace. How serious is that war? Is it serious enough to increase the probability that Russia, say, will be motivated to invade and potentially incapacitate Ukraine merely to keep the pathological West out of that country, which is a key part of the historically Russian sphere of influence?

Petersons example of Western degeneracy is Ketanji Brown Jacksons elevation to the Supreme Courtnot only because she was picked on the basis of her race and sex (since Biden had explicitly narrowed the pool to black women), but because, during her confirmation hearings, she punted on the question What is a woman? by answering, Im not a biologist. Peterson concedes that it was a gotcha question, but then concludes that it doesnt matter: The fact that woke ideology simultaneously makes being a woman one of two key criteria for a Supreme Court seat and muddies the meaning of woman means that it violates the principle of non-contradiction and makes our culture irredeemably irrational.

What does this have to do with Russia and Ukraine? In Petersons view, the Russians see woke ideology as a new version of the Communist quest to remake human nature and tell themselves something like this:

Those Westerners are so out of their mindpossessed by the very same ideas that destroyed us for a century (and didnt they?)that we simply cannot trust them. Those Westerners are so out of their mind that a devastated but neutral Ukraine is preferable to a functional bordering state aligned with the US and Europe. Those Westerners are so out of their mind that well push the world to the brink of a nuclear war and potentially beyond to keep them off our doorstep. Because weve been there before and were not going back.

Peterson does stress once again that Putin himself may or may not believe this and that, regardless of his sincerity, he is weaponizing the War on Wokeness to promote his imperial and self-aggrandizing goals. However, he still maintains that the real key to solving the Russia/Ukraine problem lies in winning the civil war in the West by defeating the radical ideas of Marxist inheritance that are currently destabilizing our societiesand that, as long as those ideas dominate, American and Western support for freedom in Ukraine is nothing but shallow moral posturing.

Where to begin?

The notion that the Wests moral standing vis--vis Russia in 2022 is undercut by some uniquely terrible moral degeneracy and irrationality does not pass the laugh test. For instance, as David Frenchpoints out,for a good part of the Cold War the United States tolerated not only racial segregation but the often-violent oppression and disenfranchisement of black Americans in the Southern states. I daresay this was in drastic contradiction with the principles of freedom and democracy we were upholding in opposition to Soviet Communism. Does Peterson really think that putting Justice Jackson on the Supreme Court after a selection process limited to black women is more reprehensible than excluding blacks (and, in many cases, women) from a wide range of high-level public positions?

(Incidentally, Putin has also invoked the history of racial injustice in the United States as proof of American hypocrisy on human rights, continuing the Soviet-era tradition of such whataboutism. Authoritarians will weaponize whatever they can!)

One could also point out that Putins obsession with keeping Ukraine out the Wests clutches goes back to circa 2004which is to say, it started about a decade before what liberal pundit Matt Yglesias dubbed the Great Awokening: the shift to the new progressive focus and framework on race, gender, and other identities.

Whats more, if we want to talk about contradiction and non-contradiction, Petersons own plea for Western civilizational renewaland his claim that such a renewal will ensure a more friendly disposition from the Russian political establishmentis profoundly incoherent. He asserts, for instance, that the radical ideas he finds so corrosive must be defeated not only by adherents of traditional religious values but by classic liberals [and] small-c conservatives defending the heritage of the Enlightenment. But he also argues that Russia sees itself as championing a religiously ordered society built on Russian Orthodox values; he even cites Dostoyevskys A Writers Diary, a collection of political newsletters, as an expression of this philosophy. Leaving aside the repellent passages on the Jewish Question in that work, there is no doubt whatsoever that Dostoyevsky loathed and feared degenerate Western influence at a time when Western liberalism was about 150 years away from going woke.

As the cherry on top, Peterson mentions the neofascist crank Aleksandr Dugin as a genuine philosopher whose influence on Putin supposedly shows the Russian leaders authentic interest in philosophical and theological matters. (Peterson had previously discussed Dugins alleged status as Putins adviser, and his hostility to Western liberalism as a driver of materialistic hyper-individuality, in a 2015 lecture.) Im not even sure whats more important to point out here: that Dugins philosophy is virulently hostile to even to the least woke varieties of Western liberalism, or that Dugin is either a kooky, occultism-obsessed prophet of Russian imperialism or a mega-troll whose public persona is a kind of performance art. (Of course, in truly postmodern fashion, it is possible that he is some combination of both.) The bottom line is that if you take Dugin seriously as a philosopher, youve well and truly jumped the shark.

Whether or not Western liberalism should return to its more classical roots is a topic for another day. In any case, such a pivot cannot be the answer to the current crisis in Ukraine if only because of how long it would take to happen. But Peterson has some short-term proposals, too:

Perhaps the declaration of Ukraine as a neutral state for a minimum period of twenty years.

Perhaps a new election in Ukraine subject to ratification by joint Russian-Western observers.

Perhaps a pledge on the part of the West to not offer to Ukraine any membership in NATO or the EU that is either not simultaneously offered to Russia or moving forward on terms acceptable to Russia.

Peterson concedes that his suggestions might be wrong and even dreadfully nave, which is probably the most accurate thing he says in this entire piece. Consider their substance: His first proposal would directly reward Russia for its naked aggression.

The second is an arrangement Russia would only accept if it were facing imminent, ignominious defeat and desperately needed a deal to save face. (Any election in Ukraine today would hand a resounding victory to pro-NATO, anti-Russia candidates even in those parts of the country where pro-Russia sentiment and skepticism toward NATO were widespread before the war.)

As for the third proposal, it too amounts to a reward for Russias invasion, granting the country a veto on Ukrainian membership not only in NATO but in the European Union. Whats more, by Petersons logic, an offer of NATO or EU membership to Russia should be seen as a menace to the country, not a friendly overture: Didnt he just tell us that Russia is going to war in Ukraine partly to keep the scourge of Western liberal decadence from its door?

The reality is that, for all the Wests culture-war problems, the defense of Ukraine is both the most genuinely liberal cause (in the classic sense of the word) and the most genuinely moral cause that exists in our public and political space right now. And, be it reflexive contrarianism, pandering to his fan base, or genuine conviction, Peterson now finds himself on the wrong side of that causewhich arguably reduces all his talk of defending of Western civilization and upholding strict moral standards of good and evil to, yes, shallow posturing. The worrying question, given his large fan base and his status as a conservative celebrity, is how many people will follow him there.

See the rest here:
Jordan Petersons Pro-Putin Punditry - The Bulwark

Read More..

The Palace of Westminster must be saved, but not the vast expanse of interior detail – The Guardian

Last Monday, the roof of the House of Commons chamber contrived to leak. This adds to the long list of hazards asbestos, sewage leaks, crumbling masonry, fire risk that I described in the Observer two weeks ago, along with the mind-bending 7bn-13bn estimate for putting them right. The daunting scale of the problem prompts in many an understandable reaction, that it would be better to relocate parliament to an entirely new building. The palace, though, as a globally famous monument, will still have to be restored, whether or not MPs and lords continue to work there.

An alternative way to reduce cost would be to think the unthinkable about heritage. For a feature of the building is the sheer expanse of intricate interior detail, much of which is never seen by the public. It is like a big fat Victorian novel that doesnt know when to stop. Is it essential to the buildings beauty and significance that absolutely all this detail be retained and reconstructed? Does world heritage truly need mile after mile of Victorian double-flock wallpaper and linenfold oak panelling? The answer, from parliamentarians, would probably be a scandalised yes, we do need to keep it all. In which case, subject to robust scrutiny of the costings, the bill will have to be paid.

I hesitate to spend time and space on Jordan Peterson, the Socrates of toxic masculinity, the Abraham for incels, whose attention-seeking statements are the intellectual equivalent of a small boy making farting noises. But, given that he is still treated respectfully by leading newspapers, it feels useful to point out how repulsive are some of his views.

He argues in a recent video that Putins war on Ukraine is sort-of justified. Russians think, he claims, that those westerners are so out of their mind, that a devastated but neutral Ukraine is preferable to a functional bordering state aligned with the US and Europe. Russians believe they have a moral duty to oppose the degenerate ideas of the west, he concludes. Theres something about that that is not wrong.

Peterson bases his argument on a refusal by the supreme court justice Ketanji Brown Jackson to define the word woman, even though her own womanhood, given that Biden had promised to appoint someone female and black to the court, was a factor in her nomination.

This refusal, says Peterson, breached the principle of non-contradiction, which means that anyone who goes along with it has become insane. Thus, somehow, the bombing of maternity hospitals and shopping malls, the murder, torture and rape of civilians, the obliteration of cities are almost reasonable, not to mention Putins well-known perversions of truth and logic. I am sorry, but who is the degenerate here?

A 285-metre tower has been proposed for 55 Bishopsgate in the City of London, potentially the third tallest in the country. Its your usual big glassy thing, except for a pattern of curving lines on its exterior. The developer Schroders Capital says it resembles the shape of a leaf, echoing its meaningful connections to natural elements.

This puts it in the same category of supertall plant metaphors as the thankfully cancelled plan to build a giant tulip in the City. There is only one possible response: no, its not a leaf. Its nothing like a leaf. It doesnt function like a leaf. It is 74,000 square metres of office space and it is banal to call it something else.

Rowan Moore is the Observers architecture correspondent

Excerpt from:
The Palace of Westminster must be saved, but not the vast expanse of interior detail - The Guardian

Read More..

A Great Man Is Hard to Find: On the Literature of Contemporary Fatherhood – Literary Hub

I was lined up in a mall outside a jungle gym, braving the closed-circuit plumes of COVID to tire out my kids on a glorified cat scratch tower, when I heard the child behind us ask, Daddy, why do those kids have masks? Do I need one?

The child was talking about my kids.

Oh, no sweetie, the father said, masks dont do anything, some people just wear them to feel good about themselves.

He pointed the dickish remark at my back, at my tatty leggings, my halo of unfoiled roots, but also at my children, running in circles, the only victims of the Liberal Mask Agenda in the whole place.

Adrienne Rich, among others, impelled me to turn around. The man wore his toddler about his shoulders like a pelt, the spoils of war. Also cargo shorts.

Whats your problem with masks, man? I asked as calmly as I could in my mask.

I dont have a problem, youre the ones making it a thing, he replied.

You brought it up, buddy. Im just standing in line for a jungle gym.

Here, the mass paused, gripping the shins of the child on his shoulders, then shouted, You dont have permission to talk to me! He turned toward his wife, who was holding the shopping bags, and fixed his gaze over her head, waiting for me to turn back around.

As I fumed and prepared to drop $50 on entry and specialized socks, I listened to him jostling his son behind me. I can do what I want with you, youre mine, he said in a kind of joking tone, certain once again that he was king of the place at the mall with the giant bumblebee mascot.

So often in literature, parenthood appears on the male as a kind of pelt thrown over like a prize. Something has been given to the fathersome knowledge or form of powerbut he has trouble decoding it, except maybe as an author.

Paul, the divorced intellectual Park Slope dad at the center of Teddy Waynes The Great Man Theory, has long wanted to teach his daughter something. When Mabel was small, he read to her: Often she fell asleep as he read, and the moment she succumbed, curled up on him like a shrimp, had always made him feel most like a parent. She has clearly come into her own, but he continues to see her as an extension of his own ego: Mabel is his little baby girl whose vulnerability had given him a sense of mission beyond himself.

Paul is an academic, if one demoted from staff to adjunct in the opening pages of the novel, and his daughter, now a tween, has begun to distance herself from her clueless dad who is soon living with his own mother in the Bronx. Paul tries to muscle through the disconnect with his powers of analysis, casting back to her birth: When Mabel was delivered and thrust into his unpracticed arms, he supposed he felt something, thought it was more an acknowledgement of the moments historical import rather than overwhelming love for this wizened homunculus of a stranger who was about to upend his heretofore streamlined life. You can see how great Paul might have been to have around in the difficult early days of parenting.

Ten years later, his ex-wife Jane has a new partner (she has also betrayed their values by getting Botox), and his daughter spends weekends with Paul, for whom the raw magic of her existence hadnt faded. Parenthood had opened up his frigid soul, creating a Mabel-sized space in his heart, an unexpected warm spot in an ice-cold lake. And she continued to give him a reason, in his newly destitute adjunct state, to make something of himself, so he redoubles his efforts on his book, The Luddite Manifesto; something that will disrupt the status quo in ailing Americait will rail against anti-intellectual cable pap, against Trump, and against the dumbing down of children by social mediaand something, like 99 percent of manifestos, that no one wants to read. It will be published by a university press.

Wayne specializes in this kind of alienated, troubling man. In Loner, his unreliable narrator, a smart, awkward Harvard undergraduate, took just a few chapters to go from social miscues to incel predation (Loner came out the year before Cat Person). The Love Song of Johnny Valentine followed an over-managed Bieberesque child star doomed by his industry and was published the year before Biebers entitlement culminated in his being hoisted up the Great Wall of China on his bodygurds shoulders.

The Great Man Theory leaps ahead of the parenting discourse, lets call it, to ask what dads are bringing to the table, and to explore the undercurrent of panic about the End of Men. Paul is smart enough to know men are a problem, and sensate enough to get a whiff of toxic masculinity, but convinced that he, center of the universe, is the only person who can fix it: He is a man writing to ward off global and personal crises; he needed to prove to his family that he had the stability and gravity of a sun.

The psychology professor Jordan Shapiro observed in his book Father Figure: How To Be A Feminist Dad that men are brought up to see themselves as the dominant narrative in a household; protagonists on a heros journey, as in popular man-texts like Robert Blys Iron John: A Book About Men and the work of Jordan Peterson.

As parables attempting to explain our existence go, Iron John is cuckoo bananas. The base story (Im paraphrasing) is that all men have in them a child who must steal a golden key from under his mothers pillow, unlock a cage containing a wild, hairy man to retrieve a golden ball, then journey out into the jungle where he can become a warrior and awaken his inner Wild Manthe missing piece of himself that will trigger healing from the absent father and give him Zeus energy. Think men howling around campfires in the mid-90s.

Bly, part of the mythopoetic movementthe New Age but just for menbelieved that separation from the mother is a key rite of passage for boys, though something moms get in the way of under our current societal structure: A clean break from the mother is crucial, but its simply not happening. Bly warns of female tripod rage and of the she-wolves a boy may encounter in the woods, and takes some strange turns in issuing warnings about the mother-child relationship:

A mans moustache may stand for his pubic hair. A friend once grew a moustache when he was around thirty. The next time he visited his mother, she looked into the corners of the room as she talked to him, and would not look at his face, no matter what they talked about. Hair, then, can represent sexual energy.

Still, Blys ideas were a stepping stone from the patriarchal alpha prototype to something better, and a response to Feminism; he believed that men had female and male energy inside of them, and made a case for the expressive mens movement. Had Paul been a Park Slope dad in the 90s, you could see Iron John appealing to his intellectual sensibilities.

From the distance of an additional quarter century, though, a new kind of fragility runs through manhood: a fear of cancel culture, to extinguish the men who mess things up. And Paul is quite far from unleashing his Wild Manhis 80-something mother is having more sex than he, and Paul finds himself mopping someone elses semen out of the backseat of her car that he uses for his work as a rideshare driver. The key is back under the mothers pillow.

Paul is painted as an Encino Man dug up from an earlier age when mens ideas were deemed important and their place in society unshakeable. You do feel a bit bad for him, just barely grasping the most rudimentary shapes of a typical parents existential awakening: His baby. Strange that after thirty-five years of independent selfhood, with relatives reaching backward in fixed history, he was now permanently linked with a human hurtling toward an undefined future.

Needless to say, mothers are light years ahead in charting this territory. I have created a death, chimes Samantha Hunt, whose ghost story and journey through the woods Mr. Splitfoot is profoundly successful where Iron John is mostly confusing. How can I become a god? the hero of Rachel Yoders Nightbitch asks, skipping to the heart of the matter. For Nightbitch, birth and motherhood bring a terrifying and complicated shift in power: She had that freedom when she gave birth, had screamed and shat and sworn and would have killed had she needed to.

How can men compete with that?

Just before The Great Man Theory came Raising Raffi, Keith Gessens memoir of early parenthood. There were quite a few moments that leapt out at me, including this recollection of his wifes (the writer Emily Gould) home birth: At one point, when Emily was on the bed, just before the babys head started coming out, a geyser of blood shot out from her vagina.

In this, I do indeed see a case for men as witnesses to birth, with access to an angle women cant see, unless, I regret, with a hand mirror. Gessen has written an examination of the fatherhood condition, plumbing his own aggression and impotence, revising coarser Jungian ideas about the father-child situation as he goes:

Raffi did not want to kill me and marry Emily. It was more complicated and difficult than that. What he wanted was all her attention even as he also wanted to be his own person. He wanted to re-create the relationship theyd once had, when he was smaller, but in a way that it could no longer be re-created.

It is a proper reckoning. Understanding that the breastfeeding dyad can be hard for a dad to crack, he works to occupy a larger and more positive role as Raffi reaches toddlerdom, and grapples with his own eventual uselessness: I think now that there is no tragedy like the tragedy of parenthood, writes Gessen. There is no other thing you do in life only so that the person you do it for can leave you. Here, he hits on what I understand as key themes of writing about motherhood: the figurative death that takes place, the invisible work of care, the confrontation with your own shadow in your childs personality, the knowledge that you arent writing the story in the end. Gessen is welcome at my witchy mom bonfire anytime.

When I otherwise think of the literature of good fathers, it often concerns surrogate fathers (Goodnight Mr. Tom, Heidi, The Box Car Children), or grief for a lost father (Extremely Loud & Incredibly Close, the wonderful H Is For Hawk). All of Shakespeares dads are terrible, likewise those of Steinbeck and Woolf. I guess we have Doctor Manette and Atticus Finch, proto-Brooklyn dad (whose outsized presence covered for the absence of Harper Lees abusive mother), Jaysons Greenes Once More We Saw Stars, and the work of Karl Ove Knausgaard and for good and wrenching and complicated dad thoughts. There are also a slew of dad manifestosBetween The World and Me, Dreams From My Fatherwhich nevertheless get us back to dad as author.

If Paul doesnt, in fact, have anything particularly worthwhile to say as an academic, or as a dad granted a cosmic glimpse of himself as a speck in the wider universe of humanity, you have to ask yourself what the point of him is. How many generations of women had delayed their greatness only to have time extinguish it completely? How many women had run out of time while the men didnt know what to do with theirs? asked Rachel Yoder. How easyhow wrong but easy nonethelessit would be to walk away from it all, thinks the hero of Lydia Kieslings Golden State, who is trying to help her Turkish partner gain access to the U.S., but otherwise spends the novel with their child Honey, traversing the state of motherhood:

a warren of beautiful rooms, something like Topkap, something like the Alhambra on a winter morning, some well-trod but magnificent place youre allowed to sit in for a minute and snap a photo before you are ushered out and youll never remember every individual jewel of a room but if youre lucky you go through another and another and another and another until they turn out the lights.

The sadness of Pauls irrelevance comes late in the book when he, touchingly, delivers the terrarium he has built and tended with Mabel to Mabels stepdad Steve, a seemingly great dad, the kind you or I might know:

Contained in his arms was the small world theyd created over the years: new bugs, new worms, new soil, but the same pebbles that theyd first collected together in the park when Mabel was a little girl.

Its better off with you, he told Steve, and handed over the tank.

Lauren, the cable news producer he is seeing, informs him that she will be having a child by donor, but is happy to date in the meantime. By this point he has been fully cut loose from the university, after a female student reported him for being a creep.

After he carries out his last bad idea, his ex-wife and daughter will find it quite easyif wrongto walk away from him, and thats the real tragedy, one he might not even understand.

Read the original post:
A Great Man Is Hard to Find: On the Literature of Contemporary Fatherhood - Literary Hub

Read More..

Machine Learning, Data Science And Data Analytics: Whats The Difference? – EuroScientist

Right now, the market for those knowledgeable in data is growing quickly. Its estimated that US data professional job openings grew by 364,000 openings by 2020 alone. However, when you see terms like machine learning, data science and data analytics out there, its hard to know which ones which. What is the difference between them?

What Is Machine Learning?

Lets start with machine learning. Its something youll hear a lot about, as its being used in all kinds of industries right now to get better results in marketing, sales and even HR. Essentially, its the practice of using algorithms to extract data, and learning from it to inform future actions.

Youre likely interacting with machine learning every day, without even knowing it. For example, Facebook uses machine learning to understand more about their users. It gathers information about the behaviors you exhibit on the site, and with that information it can offer more relevant ads and interests to you. Product recommendation on Amazon works in the same way too, as the machine learning AI gathers information on what you buy, and then recommends you similar products.

What Is Data Science?

Next, lets look at data science. This is quite a broad term, and definitions have been changing over the last decade or so. In essence, data science is the combination of hacking skills, math and statistics, and subject expertise.

What does that mean in practice? Data science is used to tackle big data, and understand what information can be taken from it. As such, it can include data cleansing, preparation, and analysis. This data is collected from multiple sources, such as machine learning outputs, predictive analysis, and so on. With these multiple data sets, analysis can happen, and predictions can be made for the future. This is especially important when it comes to businesses, as they need to be able to stay ahead of the curve.

What is Data Analytics?

Finally, lets look at data analytics. This is the process of understanding the data gathered for a business, and making recommendations based on the results. A data analyst will need to understand statistics, PIG/HIVE, coding, and more. They use all these skills to gather the results, and make sense of them.

This is something that is becoming crucial for businesses, no matter what industry theyre in. As a business you have access to more data than ever before, and you need to be able to make sense of it says Bill Styles, a tech blogger from Write My X and 1 Day 2 Write. Data analysts are invaluable for interpreting the data and helping a business grow with it.

Expertise In Each Role

As youve seen, machine learning, data science and data analytics are all different disciplines that all feed into each other. As such, if youre looking to make your career in data, youll need to consider where youll start learning. All three areas have a lot of overlap, but theres some differences that you should be aware of.

Machine learning: To work as a machine learning expert, you need to have a foundation in working with AI programs. As such, youll need expertise in computer fundamentals, as well as data modeling and evaluation skills, stats and probability knowledge, and in depth programming expertise.

Data scientist: To work as a data scientist, youll need a knowledge of machine learning, so there is some overlap here. Youll also need strong programming knowledge, such as in Python, SAS, R or Scala. Youll need to have experience with SQL database coding too. There is a good amount of overlap with machine learning here says Michelle Robin, a Origin Writings and Brit Student. Whether you work in machine learning or data science, youll need to understand techniques like regression and supervised clustering.

Data analyst: To work in data analysis, youll be required to be able to code in R or Python, as well as understand PIG/HIVE. A knowledge of data wrangling and mathematical statistics is critical, too.

While data science, machine learning and data analysis are all different, they do have a lot of overlap. Whether youre a business looking to put them to use, or someone looking to make their career in data, its critical to know how they differ.

Author: George J. Newton is a tech writer working with Research paper writing services and PhD Kingdom. His speciality is in data and AI. He also blogs for Coursework Help

Like Loading...

Related Posts

Continued here:

Machine Learning, Data Science And Data Analytics: Whats The Difference? - EuroScientist

Read More..

Northern Trust Taps Into Data Science And Partnerships To Add Value To Investment Process – Benzinga – Benzinga

Benzinga, a media and data provider bridging the gap between retail and institutional investors, is bringing back its annual Global Fintech Awards event to New York City on Dec. 8, 2022.

Ahead of this recognition of disruptive innovators in finance and technology, Benzinga will periodically publish articles on those brands that it thinks are making a measurable impact.

Todays conversation is with Paul Fahey, the head of investment data science at Northern Trust Corporation (NASDAQ: NTRS).

The following text was edited for clarity and concision.

Q: Hey Paul, nice to speak with you. Tell me a little bit about yourself and how you became involved in the business.

Fahey: I started 25-plus years ago in the asset servicing space with a different firm and moved to Northern Trust about 12 years ago. There, I supported asset managers and asset owners in traditional custody and middle office outsourcing.

Now, were truly impacting how they manage money and how effective they are in generating alpha. Weve done that through what we call investment data science partnerships with fintech firms that leverage our access to data on behalf of clients.

You were at State Street before that, right?

I ran their product team for all of the asset servicing business. So, whether it was custody, fund accounting, administration and transfer agency, middle office outsourcing, their insurance, and large asset owner business. Prior, I ran parts of their business operations both in the U.S., U.K., and Australia for a couple of years.

So, what inspired the move to Northern Trust?

Back in late 2008, Northern Trust was very much focused on growing its administration business for asset managers here in the U.S. It had a large presence in Europe, based on the acquisition of Baring Asset Managements Financial Services Group.

In the effort to grow here in the U.S. and provide a married global solution, the president of our asset servicing business, who I worked with previously, invited me over to build that out.

Talk to me about your focus there at Northern Trust. Whats the product or service?

Investment data science forms part of our whole office strategy, which is everything we can do on behalf of our clients. We see the whole office as what is behind the order management system (OMS), which is where the true investment decisions are made by the portfolio managers and asset allocators.

How do you know what to focus on?

It starts with a conversation about what our clients and prospects are trying to do.

We are concerned with solving problems that they have or will have in the future. We give them scalable models from truly front-to-back.

The way weve gone about doing that is initially we have partnerships with Equity Data Science (EDS) and Essentia Analytics.

Tell me about the typical clients motivations.

If you look at how a portfolio manager spends their day, its reliant on a myriad of analog capabilities.

Whether its Microsoft Corporation (NASDAQ: MSFT) Excel and Word documents, email, Teams for collaboration, and Alphabet Inc-owned (NASDAQ: GOOG) (NASDAQ: GOOGL) Google Meet.

Their ability to get the true analytics of their data being captured, in multiple different places, is difficult.

So what does Northern Trust do for them?

If we look at what were doing with EDS, were giving them a technology platform that includes portfolio construction, research and risk management, idea generation, and the CIO.

The analysts are acting and interacting on that platform, which digitizes their process, allowing them to see those ideas that werent the most effective in generating alpha.

In summary, youre allowing for better insight into investment decisions?

Yes. Were providing managers insight into what their behaviors do, too. Those that destroy and generate alpha. Were looking at their behavior, and their investment decisions, and playing that back to them with some real analytics around what the results of those decisions were.

Whats the advantage of working with Northern Trust versus its competitors?

We dont genuinely see any true competitor in the marketplace, today.

What we see is a small number of heavily resourced portfolio managers that have built similar capabilities in-house because theyve been able to dedicate millions of dollars. We also see other alternative competitors as a myriad of analog solutions.

Where I think EDS, in particular, offers a competitive advantage is that it gives access to those tools and capabilities that the large players have. EDS democratizes the investment process.

What are some of the hot topics in conversations you have, today?

A lot of people are scrambling around the regulatory challenges around ESG. So, being able to give them a tool where they can play back to their investors how capable and competent in the space they are in is going to be fairly significant.

Talk to me about some of the big trends youre seeing in the business?

Democratization and access to data.

Thats important because investors are now seeing a lot of the same information that managers have historically had a monopoly on. The challenge is showing where you add value.

For instance, one of our clients out in front of large institutional investors in the APAC was grilled about what they did in the portfolio to generate alpha. Managers dont want to be in that position where the investor knows more about their behavior.

What excites you the most going forward?

Its understanding and helping communicate the value managers bring.

2022 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.

Read the original:

Northern Trust Taps Into Data Science And Partnerships To Add Value To Investment Process - Benzinga - Benzinga

Read More..

How to make the most of your AI/ML investments: Start with your data infrastructure – VentureBeat

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Register today!

The era of Big Data has helped democratize information, creating a wealth of data and growing revenues at technology-based companies. But for all this intelligence, were not getting the level of insight from the field of machine learning that one might expect, as many companies struggle to make machine learning (ML) projects actionable and useful. A successful AI/ML program doesnt start with a big team of data scientists. It starts with strong data infrastructure. Data needs to be accessible across systems and ready for analysis so data scientists can quickly draw comparisons and deliver business results, and the data needs to be reliable, which points to the challenge many companies face when starting a data science program.

The problem is that many companies jump feet first into data science, hire expensive data scientists, and then discover they dont have the tools or infrastructure data scientists need to succeed. Highly-paid researchers end up spending time categorizing, validating and preparing data instead of searching for insights. This infrastructure work is important, but also misses the opportunity for data scientists to utilize their most useful skills in a way that adds the most value.

When leaders evaluate the reasons for success or failure of a data science project (and 87% of projects never make it to production) they often discover their company tried to jump ahead to the results without building a foundation of reliable data. If they dont have that solid foundation, data engineers can spend up to 44% of their time maintaining data pipelines with changes to APIs or data structures. Creating an automated process of integrating data can give engineers time back, and ensure companies have all the data they need for accurate machine learning. This also helps cut costs and maximize efficiency as companies build their data science capabilities.

Machine learning is finicky if there are gaps in the data, or it isnt formatted properly, machine learning either fails to function, or worse, gives inaccurate results.

When companies get into a position of uncertainty about their data, most organizations ask the data science team to manually label the data set as part of supervised machine learning, but this is a time-intensive process that brings additional risks to the project. Worse, when the training examples are trimmed too far because of data issues, theres the chance that the narrow scope will mean the ML model can only tell us what we already know.

The solution is to ensure the team can draw from a comprehensive, central store of data, encompassing a wide variety of sources and providing a shared understanding of the data. This improves the potential ROI from the ML models by providing more consistent data to work with. A data science program can only evolve if its based on reliable, consistent data, and an understanding of the confidence bar for results.

One of the biggest challenges to a successful data science program is balancing the volume and value of the data when making a prediction. A social media company that analyzes billions of interactions each day can use the large volume of relatively low-value actions (e.g. someone swiping up or sharing an article) to make reliable predictions. If an organization is trying to identify which customers are likely to renew a contract at the end of the year, then its likely working with smaller data sets with large consequences. Since it could take a year to find out if the recommended actions resulted in success, this creates massive limitations for a data science program.

In these situations, companies need to break down internal data silos to combine all the data they have to drive the best recommendations. This may include zero-party information captured with gated content, first-party website data, and data from customer interactions with the product, along with successful outcomes, support tickets, customer satisfaction surveys, even unstructured data like user feedback. All of these sources of data contain clues if a customer will renew their contract. By combining data silos across business groups, metrics can be standardized, and theres enough depth and breadth to create confident predictions.

To avoid the trap of diminishing confidence and returns from an ML/AI program, companies can take the following steps.

By building the right infrastructure for data science, companies can see whats important for the business, and where the blind spots are. Doing the groundwork first can deliver solid ROI, but more importantly, it will set up the data science team up for significant impact. Getting a budget for a flashy data science program is relatively easy, but remember, the majority of such projects fail. Its not as easy to get budget for the boring infrastructure tasks, but data management creates the foundation for data scientists to deliver the most meaningful impact on the business.

AlexanderLovell is head of product atFivetran.

Welcome to the VentureBeat community!

DataDecisionMakers is where experts, including the technical people doing data work, can share data-related insights and innovation.

If you want to read about cutting-edge ideas and up-to-date information, best practices, and the future of data and data tech, join us at DataDecisionMakers.

You might even considercontributing an articleof your own!

Read More From DataDecisionMakers

Read this article:

How to make the most of your AI/ML investments: Start with your data infrastructure - VentureBeat

Read More..

4 Houston innovators to know this week – InnovationMap

Editor's note: In this week's roundup of Houston innovators to know, I'm introducing you to three local innovators across industries from data science to cancer therapeutics recently making headlines in Houston innovation.

Angela Holmes is the CEO of MDS. Photo via mercuryds.com

A Houston-based AI solutions consultancy has made changes to its C-suite. Dan Watkins is passing on the CEO baton to Angela Holmes, who has served on MDS's board and as COO. As Holmes moves into the top leadership position, Watkins will transition to chief strategy officer and maintain his role on the board of directors.

"It is an exciting time to lead Mercury Data Science as we advance the development of innovative data science platforms at the intersection of biology, behavior, and AI," says Holmes in the release. "I am particularly excited about the demand for our Ergo insights platform for life sciences, allowing scientists to aggregate a vast set of biomedical data to better inform decisions around drug development priorities." Click here to read more.

Sesh Coworking and its founders Maggie Segrich and Meredith Wheeler are on a roll. Photo courtesy of Sesh

Sesh Coworking, described as Houstons first female-focused and LGBTQIA+ affirming coworking, has been operating its 2808 Caroline Street location's second-floor space since January, but the first floor, as of this week, is now open to membership and visitors. The new build-out brings the location to over 20,000 square feet of space.

Called The Parlor, the new space includes additional desks, common areas, a wellness room, and a retail pop-up space. Since its inception in early 2020, Sesh has overcome the pandemic-related obstacles in its path and even seen a 60 percent increase in membership with an overall 240 percent increase in sales over the past year.

Our growth is a testament to the ever-changing landscape of Houstons office and retail industry after the workplace dramatically changed in 2020, says Maggie Segrich, co-founder of Sesh Coworking, in a news release. We are ecstatic to welcome current and prospective members to our new, inclusive space. Click here to read more.

The duo also joined the Houston Innovators Podcast to discuss Sesh's growth. Click here to listen.

A UH professor is fighting cancer with a newly created virus that targets the bad cells and leaves the good ones alone. Photo via UH.edu

A Houston researcher is developing a cancer treatment called oncolytic virotherapy that can kill cancer cells while being ineffective to surrounding cells and tissue. Basically, the virus targets the bad guys by "activating an antitumor immune response made of immune cells such as natural killer (NK) cells," according to a news release from the University of Houston.

However exciting this rising OV treatment seems, the early stage development is far from perfect. Shaun Zhang, director of the Center for Nuclear Receptors and Cell Signaling at the University of Houston, is hoping his work will help improve OV treatment and make it more effective.

We have developed a novel strategy that not only can prevent NK cells from clearing the administered oncolytic virus, but also goes one step further by guiding them to attack tumor cells. We took an entirely different approach to create this oncolytic virotherapy by deleting a region of the gene which has been shown to activate the signaling pathway that enables the virus to replicate in normal cells, Zhang says in the release. Click here to read more.

Read this article:

4 Houston innovators to know this week - InnovationMap

Read More..

Exabel integrates with Snowflake to accelerate alternative data integration from weeks to minute – PR Newswire

LONDON, July 18, 2022 /PRNewswire/ -- Exabel, the data and analytics platform for investment teams, is excited to announce the release of a new 'Import Jobs' feature, which provides a direct Snowflake integration for customers and partners to easily bring new data sets into the Exabel platform. This will help Exabel's customers bring all their alternative data into one place, and leverage Exabel's analytics to combine data sets and derive differentiated insights. Import Jobs will also facilitate the process of alternative data providers bringing their data into the Exabel platform, supercharging the Exabel partnership program.

With a few clicks, Exabel customers can now build live data pipelines that connect to an existing Snowflake data warehouse, run queries to extract data, and schedule regular data imports. Onboarding new data sets, a process which used to take days or weeks of data engineering effort, can now be accomplished in minutes by a non-technical user. Investment teams will be able to more rapidly evaluate and integrate new data sets, and begin generating alpha insights, while alternative data providers will be able to swiftly ingest their data into the platform as part of Exabel's ongoing partnership program.

Over the past month, Exabel has successfully used a beta version of Import Jobs to onboard data partners through the Insights Platform program. This functionality will now be opened up externally for early clients to refine & test this feature in the weeks ahead - please contact your account manager to join the beta program, or reach out for a trial of the Exabel platform. Future plans include further extending Import Jobs with more data integrations, so that customers will be able to easily combine alternative data sets no matter where the data resides.

Exabel is an end-to-end software platform designed to help an investment team use alternative data in its investment workflow. Pre-integrated 'ground truth' data, combined with data import/export integrations, and an intuitive user interface for signal transformation and modelling enables investment teams to rapidly assess potential alternative data sources and signals for potency, relevance and insight. Exabel's integrated suite of investment research and analysis modules enables clients to work collaboratively across teams and functions, improving efficiency in idea generation, signal combination, modelling, testing and deploying to production.

Commenting on the announcement, Exabel CEO Neil Chapman said:

"Import Jobs is a great step forward for Exabel and its clients and partners, and demonstrates how barriers to the free flow of data are being eroded by technological innovation and market maturation. Data is the most valuable commodity in the 21st century, but like anything of value it brings its own inherent challenges; in this case, the problems of transferring and ingesting large and complicated datasets.

"With Import Jobs, a vast amount of inefficiency is removed, allowing Exabel's clients and partners to spend more time focusing on solving the problems that will directly unleash value. Practitioners with data on Snowflake will now be able to get their data into Exabel within minutes, without having to write any code.

"One of the strengths already provided by Exabel's offering is the ability to bring multiple datasets together in one place, and build a combined 'data mosaic' which allows an investor to see the whole picture around any security or securities under consideration. Import Jobs further facilitates this endeavor by making it easier to bring diverse datasets into the platform, and it thus makes Exabel a clear destination for investment teams seeking one solution that can efficiently handle many of their ongoing requirements in integrating alternative data into their investment workflow."

About ExabelExabel is an analytics platform for any investment professional who wants to benefit from alternative data and modern data science tools in their investment process. It fulfills a growing need in financial markets: while use of data - including fundamental, market, proprietary and alternative data - is critical for asset managers, modeling such data in house has become an excessive use of time and resources for all but the very largest investment firms. Exabel's SaaS-delivered platform enables discretionary managers to complement their fundamental strategies with more data-driven techniques. It is the missing piece that allows investment teams to benefit from alternative data immediately. Exabel is currently growing rapidly having raised $22.7m and increased the team to 40 employees with more hiring underway.

SOURCE Exabel

Go here to see the original:

Exabel integrates with Snowflake to accelerate alternative data integration from weeks to minute - PR Newswire

Read More..

Columbia Business School and Columbia Engineering to Offer New "Dual MBA/Executive MS in Engineering and Applied Science" Program – PR…

20-month program to provide students with critical skill set to meet evolving business demands

NEW YORK, July 18, 2022 /PRNewswire/ -- As part of a commitment to prepare the business leaders of tomorrow, Columbia Business School and Columbia University's School of Engineering and Applied Science will offer a new dual-degree program that pairs the foundational skill sets of business with those of engineering. Students in the 20-month program will receive two degrees: a Master of Business Administration and an Executive Master of Science in Engineering and Applied Science. The program will officially launch in September 2023 and interested students can beginapplying now.

Designed to meet the evolving needs of leaders in technology, product managers, entrepreneurs, and other roles associated with technology and business, the Dual MBA/Executive MS in Engineering and Applied Science curriculumwill cover core engineering, areas of "tough tech," and applied science foundations, as well as essential business courses in leadership, strategy, finance, economics, and marketing. Students will take courses with both Columbia Business School and Columbia Engineering faculty, spend a summer pursuing an entrepreneurial venture or interning at a technology company, and complete a capstone project.

"Today's business challenges are multidisciplinary, and their solutions often lean on technological innovations. Students need, on one hand, a broad exposure to and understanding of how technology and engineering breakthroughs are shaping our lives today and the world of tomorrow. And, on the other hand, they need a deep understanding of business and, importantly, how to manage and lead in this dynamic environment," said Columbia Business SchoolDean Costis Maglaras, the David and Lyn Silfen Professor of Business. "In this competitive marketplace, Columbia's new MBAxMS: Engineering & Applied Science equips students with both the management skills and the science and technology core that enables them to move seamlessly from the classroom to product development to large-scale innovation and ultimately help create and grow companies and drive change."

The MBAxMS: Engineering & Applied Science core curriculum will focus on the creative application of technology and will include a variety of new and existing courses, including Digital Disruption & Tech Transfer, Business Analytics, Human-Centered Design and Innovation, and more. Students will also choose from an extensive array of electives designed to stimulate innovation, strengthen analytical skills, and bolster critical knowledge for their specific entrepreneurial or enterprise path.

"Technology, data, and analytics are transforming every aspect of modern businesses, especially those prized by the ambitious and entrepreneurial students who come to Columbia University," said Columbia Engineering Dean Shih-Fu Chang, the Morris A. and Alma Schapiro Professor of Engineering. "We recognize how important it is to provide students with broad exposures to emerging technology breakthroughs, the comprehensive training of business leadership skills, the unique experience in applying the human-centric design approach to innovative products and solutions, and importantly the ability to apply these unique skills in confronting major challenges facing our society and business world today. We look forward to partnering with Columbia Business School to launch an unprecedented program that can give our students a major boost."

The dual degree program, which is based in New York City, provides students with unmatched access and opportunities to work with and learn from the world's leaders in business, technology, data, analytics, and more. This includes opportunities to learn from guest speakers, meet with in-house mentors, and pursue internship opportunities that extend beyond the summer months. With one of the largest tech and entrepreneurial ecosystems in the country, the NYC location provides a unique, one-of-a-kind experience for the Dual MBA/Executive MS in Engineering and Applied Science students and graduates.

To learn more about the program, please visit https://academics.gsb.columbia.edu/mbaxms.

About Columbia Business SchoolColumbia Business School is the only world-class, Ivy League business school that delivers a learning experience where academic excellence meets with real-time exposure to the pulse of global business. The thought leadership of the School's faculty and staff members, combined with the accomplishments of its distinguished alumni and position in the center of global business, means that the School's efforts have an immediate, measurable impact on the forces shaping business every day. To learn more about Columbia Business School's position at the very center of business, please visitwww.gsb.columbia.edu.

About Columbia Engineering Columbia Engineering, based in New York City, is one of the top engineering schools in the U.S. and one of the oldest in the nation. Also known as The Fu Foundation School of Engineering and Applied Science, the School expands knowledge and advances technology through the pioneering research of its more than 250 faculty, while educating undergraduate and graduate students in a collaborative environment to become leaders informed by a firm foundation in engineering. The School's faculty are at the center of the University's cross-disciplinary research, contributing to the Data Science Institute, Earth Institute, Zuckerman Mind Brain Behavior Institute, Precision Medicine Initiative, and the Columbia Nano Initiative. Guided by its strategic vision, "Columbia Engineering for Humanity," the School aims to translate ideas into innovations that foster a sustainable, healthy, secure, connected, and creative humanity. To learn more about Columbia Engineering, please visit engineering.columbia.edu.

SOURCE Columbia Business School

Continued here:

Columbia Business School and Columbia Engineering to Offer New "Dual MBA/Executive MS in Engineering and Applied Science" Program - PR...

Read More..

Data and tech platforms helping finance regulator spot problems earlier – ComputerWeekly.com

The Financial Conduct Authority (FCA) is using technology investments to proactively identify and act upon potential risks to financial services customers.

Rather than react to problems after consumers have been affected, technology is improving the regulators use of analytics to gain insights and prevent future problems.

In a speech at the Peterson Institute of International Economics, FCA CEO Nikhil Rath said: This is helping us to take a more proactive stance and, crucially, spot harm and intervene more quickly and more broadly.

For example, the FCA has moved systems to the cloud as part of a project to put 50,000 finance firms and thousands of users onto a new regulatory data platform.

Using our data lake, we aim to more swiftly identify, connect and react to firm and market issues, said Rath. Our analytics tools are speeding up case management and providing improved visibility of risk in each firm.

He said the FCA is currently rolling out analytics screening tools to check that finance forms are complying with sanctions on Russia. This includes an automated tool to test firms ability to identify sanctioned firms.

The FCA now scans100,000 websites every dayand removes hundreds of fraudulent or scam-related websites targeting UK consumers every year.There is and must remain a laser focus on the quality of data coming in in the first place, said Rath. This is an area where we are holding firms increasingly to account.

He said the FCA is keeping an eye on the potential systemic risks caused to the finance sector as a result of its resilience of services provided by a small number of critical third parties, including cloud providers.

The FCA is changing its approach to digital regulation in the UK through itsDigital Regulators Cooperation Forum, which creates collaboration with communications, privacy and competition regulators.

Rath said the FCA will influence tech companies to make changes on its behalf where it can. We are testing our powers to the limit, and where we lack them, using our influence and other means to affect change, he said, citing a success story where Google agreedto stop non-FCA verified firms from advertising financial products on its platform.

Last month, the FCA announced it is looking for a significant number of tech experts as it invests in the use of data to prevent online fraud.

It wants to hire people with expertise in artificial intelligence, analytics and data science, as well as cloud engineering and digital technology.

The new recruits come on top of the100 people hired since 2020 as part of the FCAs data strategy.

Visit link:

Data and tech platforms helping finance regulator spot problems earlier - ComputerWeekly.com

Read More..