Riconoscimento biometrico, master face e dictionary attack
How Olympians at Google handle hurdles at work
Clockwise, from top left: Kate Johnson, 2004 Olympics; Timothy Goebel, 2002 Olympics; Aleksandra Jarmolińska, 2020-2021 Olympics; Natalie Dell O’Brien, 2012 Olympics; Petri Kokko, 1994 Olympics; Matt Brittin, 1988 Olympics
Professional athletes are resilience experts. They’re constantly pushing their minds and bodies to new limits, all while staying motivated to reach their goals and tackle new challenges. If you don’t believe me, ask Matt Brittin. Matt is Google’s President of EMEA Business and Operations — as well as a former Olympian. Matt competed in the 1988 Olympics on the U.K. men’s rowing team, and he’s tapped into what got him to that stage in this last year. “We’re in a state of long term uncertainty and building resilience takes knowing yourself well and takes time,” he says. “It’s all about how you manage your energy and approach the unknown.”
As this year’s games come to a close, we asked Matt and several of other former Olympian Googlers to share how their experiences helped them in the workplace.
Petri Kokko – Country Sales Director of Brands, former Olympic figure skater
“Giving your maximum doesn’t help you achieve optimal results, but working optimally will help you achieve your maximum effort,” says Petri, who represented Finland in figure skating at the 1992 and 1994 Olympics. “And often people, especially motivated people, think that the more they work the more they achieve and that’s not the case. We’re not trying to achieve our best tomorrow, we’re trying to develop ourselves over the years.”
Petri falls back on his training to find a healthy work-life balance. He builds variation into his calendar, making sure some days and weeks are lighter, so he doesn’t burn out and can give his best over the long term. As an Olympic athlete, Petri learned the value of rest and recovery to avoid injuries and to deal with stress. At Google, mental health and wellbeing are highly valued, and these resources were expanded over the last year.
Aleksandra Jarmolińska – Cloud Software Engineer, former Olympic sports shooter
Calling Aleksandra a “former” Olympian is nearly a misnomer — she just competed in this year’s games in Tokyo, as well as back in 2016. “I interviewed for my role at Google during the same month that I qualified for the Tokyo Games,” she says. Fresh off her competition, she says an important lesson she’s learned in her athletic career that translates to work is to keep trying. “This may be a bit of a cliche, but I always appreciated Samuel Beckett’s philosophy of: ‘Try. Fail. Persist. Fail better.’”
In sports shooting, she explains, you can’t necessarily succeed with athleticism, you need to step back, clear your head and adapt. “This applies to lots of things — programming included,” Aleksandra says. “I cannot count the times I’ve started from scratch on some feature I worked on.”
Timothy Goebel – Marketing Mix Modeling Partner Manager, former Olympic figure skater
“It’s important to adapt instead of just giving up when things are challenging,” says Timothy, who won a bronze medal in figure skating for the U.S. in 2002. “It’s about finding small wins, like effectively communicating with stakeholders and finding the humanity in each other. At the end of the day, we’re all teammates!” A strong, supportive community is just as important as the training itself, he says.
Natalie Dell O’Brien – Head of Industry for U.S. Financial Services, former Olympic rower
“We see Olympians as individuals, but you might not realize there’s a village of people they put into their orbit to support them,” says Nataile, who won the bronze medal at the 2012 Summer Olympics in the quadruple rowing event for the United States.
Like Petri, Natalie recalls her Olympic training schedule when tackling business planning, breaking things down into “digestible training blocks” and communicating smaller milestones with her team. But Natalie says her support system was equally important to her professional athletic career and she continues to build a similar network at Google.
“Some of the smartest decisions and biggest leaps in performance I made in my rowing career were made possible because I leaned on others for help,” Natalie said. “ And any time I’m up against a challenge at work, I remember that even Olympic athletes have ‘phone a friend’ moments. Vulnerability can lead to better performance.”
Huawei MatePad 11, un tablet così a meno di 400 euro è un vero affare! La recensione
A Matter of Impact: July updates from Google.org
Unlike other forms of funding, philanthropy is in a position to take risky, long-term bets on solutions to society’s biggest challenges. Government funding generally needs to show taxpayers that money is going to proven solutions, and private investors tend to operate on short timelines and have to make financial returns. That’s why some call philanthropy “society’s risk capital’; it can put impact first and be patient about the results.
Google has a big appetite for risky bets, or, as we call them, “moonshots.” This approach has led to some of our biggest successes — from search to self-driving cars to translation. And, of course, some failures along the way. We’ve tried to take the same approach at Google.org, looking for places where we can direct risk capital toward big problems, often by helping organizations capture the potential of new technologies like artificial intelligence.
Through our Google.org Impact Challenges, for example, we invite social innovators of any size to give us their best ideas for transformative impact and we make sizable contributions of time and money to help them grow. Some of these bets have gone on to become the largest and fastest-growing nonprofit organizations in the world, like Give Directly, Khan Academy, and Equal Justice Initiative. And some have even failed. But through the success and failures, we’ve learned a lot:
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There’s a place for risk and a place for sure bets: In our early days nearly everything we funded was in this category of risk capital, which made it tough to have steady, reliable impact or manage multi-year programs. We’ve shifted to a portfolio approach, carving out space for true risk capital and supporting immediate needs such as housing, food, and clean water.
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Bet on the team and roll with the punches:Even good ideas fail, but a strong team will roll with the punches and continue iterating to find success. By establishing shared outcome goals in partnership with amazing people, we’ve been able to achieve great results — even when the initial idea foundered.
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Invest in what you know:For us, that expertise often involves technology, which is why so many of our best examples have technology at their core.
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Give adequate and flexible resources:Too often projects fail because they’re under-funded or funders too constrained in their use of money to make changes when a project takes an unexpected turn. Multi-year, general operating support is generally the right move with risky bets, and we aim to be generous in our support of both time and resources.
For a perspective from the other side, read on for how some of our Google Impact Challenge grantees were able to have outsized impact after we bet on them at ‘risky’ stages of their development.
In case you missed it
Speaking of Impact Challenges, we recently unveiled the 13 grantee organizations for the Google.org Impact Challenge Central and Eastern Europe. Funding recipients include a group working to create opportunities for people who are Deaf or hearing impaired, an organization running science, technology, engineering, the arts and mathematics (STEAM) courses for children in foster care, and a team creating coding courses for LGBTQ+ people in Lithuania.
Hear from one of our grantees: TalkingPoints
B2B Marketing News: LinkedIn Buys Jumprope, B2B Tech Buying Trends, YouTube SEO Study, Nielsen’s Cookie Alternative, & Google’s Record Ad Revenue


LinkedIn Acquires Tutorial Video App Jumprope as it Looks to Expand its Creator Tools
Microsoft-owned LinkedIn (client) has acquired video tutorial creation app firm Jumprope, with the array of creator tools from the acquisition set to help enhance LinkedIn Learning and other areas of the professional social media platform, the company recently announced. Social Media Today
Google parent Alphabet reaches record quarterly revenue, profit in ad boom
Google and its parent firm Alphabet saw an especially strong 70 percent increase in advertising revenue during the second quarter of 2021, the company recently disclosed. That equates to some $560 million is advertising revenue per day during the quarter, and a year-over-year increase of 62 percent, rebounding from the firm’s only revenue decline a year ago due to the global health crisis. Reuters
3 in 4 B2B Marketers Are Planning Hybrid Events — Here Are Their Perceived Challenges
Providing digital events as good as in-person ones is the leading hybrid event challenge faced by B2B marketers, followed by logistical obstacles and convincing attendees to come to physical events, according to newly-released survey data of interest to digital marketers. MarketingCharts
LinkedIn to B2B marketers: It’s time to build your brand
B2B firms can benefit from building greater brand awareness, according to recently-released report data from LinkedIn, which also revealed that some 4 out of 5 U.S. B2B buyers would reconsider purchasing from a brand that they had previously rejected. Campaign US
Nielsen unveils solution for cookieless media measurement
Nielsen has disclosed information about its forthcoming alternative to browser cookie media measurement, with a new solution that will combine machine-learning techniques with available first-party data, the firm recently annnounced. AdAge
Display & Video 360 gets new frequency and reach metrics
Google has recently added an array of new visual overview data to its Display & Video 360 enterprise advertising and analytics platform, in a change that is set to smooth the job of marketers using the product across various channels. The new views offer real-time glimpses of reach — gleaned partially from DV360’s log data — when it comes to a campaign’s performance, and is also set to make it easier to find the highest performing programmatic advertising campaigns.Search Engine Land

Amazon’s ads business posts 87% growth
Amazon saw year-over-year advertising and other revenue rise by 87 percent during the second quarter of 2021, topping the $7.9 billion mark, the firm recently announced — representing an increase surpassing the 77 percent grown it recorded during the first quarter of the year. CNBC
Twitter Adds New Spaces Sharing Options, New Search Tools to Improve Spaces Discovery
Twitter has given its Spaces live audio conversation feature an array of new engagement and search features intended to raise brand content awareness, the social media platform recently announced. Social Media Today
YouTube SEO Study: Insights & Data to Help You Rank Higher
As the world’s largest video platform, Google’s YouTube also represents an important search destination, and SEMrush recently examined how channel size and other data-driven factors play a role in search engine optimization (SEO) success, in the firm’s newly-released YouTube SEO study. SEMrush
LinkedIn Shares New Insights into Key Tech Buying Trends, and the Impacts of the Pandemic
42 percent of B2B technology buyers are likely to either increase or maintain overall technology spending compared to pre-pandemic levels — one of numerous findings of interest to digital marketers contained in recently-released study data from LinkedIn. Social Media Today
ON THE LIGHTER SIDE:

A lighthearted look at the “media planning” by Marketoonist Tom Fishburne — Marketoonist
Google’s ‘time crystals’ could be the greatest scientific achievement of our lifetimes — TNW
TOPRANK MARKETING & CLIENTS IN THE NEWS:
- TopRank Marketing — Analyzing the Analyst: A Guide to Holistic Analytics for Tracking the Right Metrics — MarketingProfs
- Joshua Nite — What’s Trending: Shake Things Up — LinkedIn (client)
Have you found your own B2B marketing news item from the past week of industry news? Please drop us a line in the comments below.
Thank you for taking the time to join us for this week’s TopRank Marketing B2B marketing news, and we hope you’ll come back next Friday for more of the week’s most relevant B2B and digital marketing industry news. In the meantime, you can follow us at @toprank on Twitter for even more timely daily news.
The post B2B Marketing News: LinkedIn Buys Jumprope, B2B Tech Buying Trends, YouTube SEO Study, Nielsen’s Cookie Alternative, & Google’s Record Ad Revenue appeared first on B2B Marketing Blog – TopRank®.
Podcast del Disinformatico RSI 2021/08/06: La madre di tutte le demo informatiche
È disponibile subito il podcast di oggi de Il Disinformatico della Rete Tre della Radiotelevisione Svizzera, condotto dal sottoscritto: lo trovate presso www.rsi.ch/ildisinformatico (link diretto). Questa è l’edizione estiva, dedicata all’approfondimento di un singolo argomento.
I podcast del Disinformatico di Rete Tre sono ascoltabili anche tramite feed RSS, iTunes, Google Podcasts e Spotify.
Buon ascolto, e se vi interessano il testo e i link alle fonti della storia di oggi, sono qui sotto!
Nota: la parola CLIP nel testo che segue non è un segnaposto in attesa che io inserisca dei contenuti. Indica semplicemente che in quel punto del podcast c’è uno spezzone audio. Se volete sentirlo, ascoltate il podcast oppure guardate il video che ho incluso nella trascrizione.
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Sto guardando una presentazione di un prodotto informatico. Niente di speciale: un uomo, con voce piuttosto monotona, descrive come il suo prodotto consente di scrivere facilmente testi al computer, con il copia e incolla gestito tramite il mouse, e di creare link cliccabili fra un testo e un altro. Permette anche di mandare mail, di fare videoconferenze, tipo Zoom, e di collaborare a un documento a distanza, come Google Docs.
Roba da sbadiglio assoluto, se non ci fosse un piccolo particolare molto, molto speciale: la presentazione risale al 1968.
Questa è la storia di come un uomo, Douglas Engelbart, riuscì a presentare con più di cinquant’anni d’anticipo tutte le principali tecnologie informatiche che usiamo adesso tutti i giorni, e di come quella presentazione passò alla storia come “la madre di tutte le demo”.
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Demo. Una parola semplice, di quattro lettere, che incute angoscia in chiunque debba andare di fronte a un pubblico e fare una dimostrazione pratica di un prodotto, sapendo che qualunque cosa possa andare storta lo farà, e lo farà nel peggior momento possibile, davanti al pubblico più ampio possibile, e finirà quasi sicuramente su YouTube per prolungare in eterno l’imbarazzo.
Come quella volta, ad aprile del 1998, che Chris Capossela di Microsoft stava presentando la novità, Windows 98, davanti al pubblico di addetti ai lavori della celeberrima fiera informatica Comdex, e sotto gli occhi del boss, Bill Gates in persona, gli comparve il mitico Schermo Blu della Morte che indicava il crash di Windows.
(CLIP: Capossela)
Sono cose che succedono, specialmente quando la dimostrazione viene fatta realisticamente, usando davvero i prodotti invece di fare spettacoli accuratamente coreografati, come per esempio la storica presentazione di un certo dispositivo tascabile da parte di Steve Jobs di Apple nel 2007.
(CLIP: Jobs-iPhone)
Pochi sanno che quella demo dell’iPhone fu fatta con un prototipo incompleto, a malapena funzionante, che riusciva a riprodurre uno spezzone di una canzone o di un video ma crashava se si provava a far sentire un brano intero. La demo fu confezionata in modo da eseguire una sequenza molto specifica di compiti che avrebbero ridotto, ma non eliminato, la possibilità che l’iPhone si piantasse davanti a tutto il mondo. Andò bene, ma per un soffio.
Sia come sia, le demo sono notoriamente un momento difficile per chi le conduce e per le aziende che le organizzano. Spesso una demo mal riuscita affossa anni di ricerca e milioni di budget pubblicitario, e quindi si procede con la massima cautela.
Ma allora con quale faccia tosta, con quale sprezzo del pericolo fu organizzata quella che oggi gli informatici chiamano “la madre di tutte le demo” e che presentò realisticamente non una, ma tutta una serie di nuove tecnologie?
Andiamo al 9 dicembre 1968. Siamo alla fine di un anno difficile in tutto il mondo, fra guerra in Vietnam, assassinio di Martin Luther King e di Robert Kennedy, Maggio francese, invasione sovietica della Cecoslovacchia, dirottamenti, scioperi, sommosse e manifestazioni ovunque.
Lontano da tutto questo c’è un ingegnere statunitense di 43 anni, Douglas Engelbart, che a San Francisco presenta appunto la sua demo davanti a un selezionatissimo pubblico di circa mille esperti informatici, molti dei quali lo considerano letteralmente “uno svitato”.
Però la demo, e le ricerche svolte per anni da Engelbart e dal suo gruppo di esperti allo Stanford Research Institute della Stanford University per arrivare a questa presentazione pubblica, sono finanziate e appoggiate da enti governativi di tutto rispetto, come l’agenzia di ricerca avanzata ARPA, la NASA e l’Aeronautica Militare statunitense.
Engelbart inizia subito con una scenografia decisamente inconsueta: è presente sul palco, seduto davanti al suo terminale, ma il suo volto viene inquadrato da una telecamera e proiettato su uno schermo televisivo gigante di sette metri per sei, un cosiddetto Eidophor, la cui tecnologia incredibile meriterebbe una storia a parte. Oggi schermi giganti del genere sono la norma, ma mezzo secolo fa erano una rarità.
E ancora oggi è raro quello che succede subito dopo: le informazioni presentate dall’ingegnere appaiono in sovrimpressione, in trasparenza, invece che in una finestra a parte. Il suo volto rimane sullo schermo, così il pubblico può vedere le sue espressioni senza spostare lo sguardo dal testo della presentazione. PowerPoint non lo fa neanche adesso, senza software e hardware speciali. Ricordatevi che siamo nel 1968, quando i computer sono grossi come armadi, pesanti come casseforti e sanno soltanto fare calcoli matematici.
Nel giro di un’oretta e mezza di dimostrazione, tutta dal vivo, Engelbart, assistito dietro le quinte da una squadra di tecnici, mostra il suo “oN-Line System”, o NLS, che trasforma questi pesanti tritatori di numeri in strumenti per “potenziare l’intelletto umano”. Dice proprio così: Engelbart era uno che pensava in grande.
L’ingegnere indossa quella che oggi chiameremmo una cuffietta ultrasottile da gamer e procede con calma e compostezza a dimostrare una tecnologia dirompente dopo l’altra. Muove un puntatore sullo schermo usando una scatoletta che tiene in mano e sposta sulla propria scrivania: è il prototipo del mouse, sviluppato insieme al collega Bill English, per il quale riceverà un brevetto. È proprio Engelbart a dargli il nome mouse, “topo”, per via del filo elettrico di collegamento che sporge dalla scatoletta e somiglia appunto alla coda di un topo.
Con quel mouse evidenzia e seleziona il testo, lo copia e incolla, e ridimensiona delle porzioni dello schermo: è la prima volta che qualcuno divide uno schermo di computer in finestre multiple, permettendo di spostare oggetti, parole e paragrafi da una finestra all’altra. Non ci sarà nulla del genere per altri vent’anni.
Engelbart presenta poi una tastiera che consente di premere più tasti contemporaneamente, creando combinazioni, come degli accordi su un pianoforte, che sono gli antenati del Control-C, Control-V e Control-Alt-Canc di oggi. È la prima volta nella storia dell’informatica che qualcuno mostra pubblicamente un sistema di elaborazione di testi tramite computer così potente.
(CLIP: Engelbart fa Zoom – 46.00 nel video)
Poi fa una videochiamata – nel 1968! – con i suoi colleghi che stanno a circa 50 chilometri di distanza, a Menlo Park, e la mostra sullo schermo gigante, spiegando come sia possibile non solo dialogare con le persone a distanza, come facciamo oggi con Teams, WhatsApp o Zoom, ma anche modificare collettivamente e contemporaneamente lo stesso documento intanto che ciascuna persona vede le altre.
Sì, non tutto funziona alla perfezione, le immagini sono in bianco e nero e c’è il trucco, nel senso che la videochiamata usa una connessione a microonde dedicata, di tipo televisivo professionale, invece delle comuni linee telefoniche, e ci sono due modem a 1200 baud (velocissimi per l’epoca) per lo scambio dei dati. Tecnologie non alla portata di tutti, allora, ma il concetto è chiaro: i computer non sono soltanto delle macchine per fare calcoli, ma consentono (o un giorno consentiranno) di comunicare e di lavorare in gruppo, condividendo dati, immagini e documenti, senza spostarsi fisicamente.
Come se tutto questo non bastasse, Engelbart clicca su una porzione di testo sottolineata e mostra che questo clic fa comparire un’altra pagina di informazioni: in altre parole, sta dimostrando l’ipertesto, quello che una ventina d’anni più tardi sarà la base concettuale di Internet e del Web.
Alla fine della demo, Engelbart ringrazia il suo gruppo di collaboratori e la moglie e le figlie, che sono in sala, per aver sopportato pazientemente “un marito che si è dedicato in maniera monomaniacale a qualcosa di folle”…
(CLIP: Engel ringrazia)
…e poi riceve una standing ovation.
(CLIP: Engel standing ovation)
In novanta minuti ha convertito gli scettici.
Ma le sue idee resteranno comunque troppo avanti anche per molti esperti di allora: la praticità del mouse, per esempio, verrà sottovalutata dallo Stanford Research Institute, che cederà una licenza per il suo brevetto per soli 40.000 dollari a una piccola, nascente azienda di personal computer di nome Apple, che la userà soltanto quindici anni più tardi, dapprima con il fallimentare computer Lisa, nel 1983, e poi con il popolarissimo Macintosh nel 1984.
Anche le finestre di Engelbart resteranno ancora più a lungo un’esclusiva del mondo Apple e di pochi, costosi computer di nicchia, fino all’arrivo di Microsoft Windows 3.0, la prima versione di grande successo, nel 1990. Il resto del mondo andrà avanti ancora parecchio con una schermata singola di solo testo.
Certo, non gli mancheranno i riconoscimenti, come il premio Turing, il premio MIT-Lemelson di 500.000 dollari e il premio von Neumann, conferitigli dalle associazioni internazionali degli esperti di settore. E un’altra azienda nascente, la svizzera Logitech, quella che con il mouse P4 realizzerà il primo mouse commercialmente disponibile nel 1981, gli assegnerà un ufficio nella propria sede principale fino al 2007 per consentirgli di proseguire le sue ricerche.
Ma il suo obiettivo molto anni Sessanta di usare l’informatica per potenziare l’intelletto umano gli sfuggirà. Vinton Cerf, uno dei padri fondatori di Internet, lo ricorderà così nel documentario del 2020 The Augmentation of Douglas Engelbart:
(CLIP: Cerf a 55.31)
“La storia di Doug” dice Cerf “è per certi versi una storia dolorosa su cui riflettere. È chiaro che aveva capito in modo straordinario quello che i computer avrebbero potuto fare e quanto sarebbero stati dei facilitatori. Ma allo stesso tempo, per far sì che qualcosa avvenga su vasta scala, deve esserci alla base un motore economico che la renda possibile”. E un idealista come Engelbart non era interessato ai motori economici, quelli grazie ai quali tutte le apparecchiature e i collegamenti necessari per quella costosa e complicatissima demo del 1968 risiedono ora a prezzi abbordabili nelle nostre tasche, dentro i nostri smartphone e computer.
Douglas Engelbart è morto il 2 luglio 2013, a 88 anni. Ha fatto in tempo a vedere realizzarsi tutte le profezie tecnologiche che aveva fatto in quella incredibile demo di oltre mezzo secolo fa. A noi non resta che goderne i frutti, ringraziando per la lungimiranza e tenendo vivo il ricordo di un informatico davvero visionario. E magari chiedendoci se ci sia, e chi sia, l’inascoltato Douglas Engelbart di oggi.
Ask a Techspert: How do you build a chatbot?
Chatbots have become a normal part of daily life, from that helpful customer service pop-up on a website to the voice-controlled system in your home. As a conversational AI engineer at Google, Lee Boonstra knows everything about chatbots. When the pandemic started, many of the conferences she spoke at were canceled, which gave Lee the time to put her knowledge into book form. She started writing while she was pregnant, and now, along with her daughter Rebel, she has this book: The Definitive Guide to Conversational AI With Dialogflow and Google Cloud.
Lee, who lives and works in Amsterdam, is donating the proceeds of her royalties to Stichting Meer dan Gewenst, a nonprofit organization that helps people in the LGBTQ+ community who want to have children. The charity is close to her heart; as an LGBTQ+ parent herself, she wants others like her to have a chance at the joy she feels with her daughter.
The book itself is for anyone interested in using chatbots, from developers to project managers and CEOs. Here she speaks to The Keyword about the art (and science) behind building a chatbot.
What exactly is a chatbot?
A chatbot is a piece of software designed to simulate online conversations with people. Many people know chatbots as a chat window that appears when you open a website, but there are more forms — for instance, there are chatbots that answer questions via social media, and the voice of the Google Assistant is a chatbot. Chatbots have been around since the early computing days, but computers, they’ve only recently become more mainstream. That has everything to do with machine learning and natural language understanding.
Old-school chatbots required you to formulate your sentences carefully. If you said things differently, the chatbot wouldn’t know how to answer. If you made a spelling mistake, the bot would run amok! But there are many different ways to say something. A chatbot built with natural language understanding can understand a specific piece of text and then retrieve a specific answer to your question. It doesn’t matter if you spell it wrong or say things differently.
What benefits can the use of chatbots offer companies?
A chatbot works quickly, knows (almost) everything and is available 24/7. That basically makes it the ideal customer service representative. The customer no longer has to wait, the company saves money and the employees experience less stress. As a customer, you get a chatbot on the phone that listens to your question and can answer like a human thanks to speech technology. This way, most customers already receive the answers they need. If the chatbot doesn’t know the answer, it can transfer them to an employee. The customer will not be prompted for information again, as the agent will see that the chat history and system fields are already filled.
Companies are finding more and more ways to use chatbots. For example, since the advent of artificial intelligence, KLM Royal Dutch Airlines has been handling twice as many questions from customers via social media. And technical developer Doop built a Google Assistant Action in the Netherlands in collaboration with AVROTROS, specifically for the Eurovision Song Contest. Anyone who asks for information about the Eurovision Song Contest will hear a chatbot with the voice of presenter Cornald Maas talk about the show.
How do you build a chatbot?
You can build a chatbot using the Dialogflow tool and other services on the Google Cloud platform. Dialogflow is a tool in your web browser that allows you to build chatbots by entering examples. For example, if you already have a FAQ section on your website, that’s a good start. With Dialogflow you can edit the content of that Q&A and then train the chatbot to find answers to questions that customers often ask. Dialogflow learns from all the conversation examples so that it can provide answers.
But just like building a website, you probably need more resources, such as a place to host your chatbot and a database to store your data. You may also want to use additional machine learning models so that your chatbot can do things like detect the content of a PDF or the sentiment of a text. Google Cloud has more than 200 products available for this. It’s just like playing with blocks: by stacking all these resources on top of each other, you build a product and you improve the experience, for yourself and for the customer.
Do you have any tips for getting started?
First things first: Start building the chatbot as soon as possible. Many people dread this, because they think it’s hugely complex, but it’s better to just get going. You will need to keep track of the conversations and keep an eye on the statistics; what do customers ask and what do they expect? Building a chatbot is an ongoing project. The longer a chatbot lasts, the more data is collected and the smarter and faster it becomes.
In addition, don’t build a chatbot just for one specific channel. What you don’t want is to have to build a chatbot for another channel next year and replicate the work. In a large company, teams often want to build a chatbot, but different chat channels are important to different departments. As a company you want to be present on all of those channels, whether that’s the website, on social media, via telephone or on Whatsapp. Build an integrated bot so there’s no duplication of work and maintenance is much easier.
How do chatbots make life easier for people?
Many of the frustrations that you experience with traditional customer services, such as limited opening hours for contact by phone, waiting times and incomprehensible menus, can be removed with chatbots. People do find it important to know whether they are interacting with a human being or a chatbot, but, interestingly, a chatbot is more likely to be forgiven for making a mistake than a human. People might also have a specific preference for human interaction or a chatbot when discussing more sensitive topics like medical or financial issues, either because they want to have personal, human contact or they would rather not discuss a topic with a human being because they don’t feel comfortable doing so. Chatbots are getting better and better at understanding and interacting, and can be very helpful for interactions about these topics as well.
WhatsApp introduce le foto che si “cancellano” da sole
WhatsApp sta attivando una funzione che a suo dire permette agli utenti di condividere foto e video che si cancellano automaticamente dopo che sono state viste una sola volta.
Chi le riceve verrà avvisato da un’apposita icona che si tratta di contenuti temporanei, simili ai messaggi temporanei che già esistono da qualche mese in WhatsApp, come in altre app di messaggistica.
Queste foto e questi video non potranno essere inoltrati usando WhatsApp, non verranno salvati nella galleria di immagini e verranno eliminati automaticamente dopo 14 giorni se non sono stati visti.
Interessante, ma attenzione a non interpretare questa nuova funzione come una giustificazione per pensare di potere condividere disinvoltamente foto intime o personali contando sul fatto che una volta viste spariranno per sempre: come per tutte le foto “autocancellanti”, esistono modi banalissimi (dallo screenshot in su) per rendere quelle immagini assolutamente permanenti.
Ben venga, quindi, l’uso di questa funzione per eliminare automaticamente le foto che scattiamo per usi temporanei, come per esempio quelle fatte per mostrare a qualcuno un prodotto o un vestito visto in un negozio, ma niente di più. La funzione è utile per non occupare spazio inutilmente sul proprio smartphone riempiendolo di foto e video che non servono, ma prima di usare questo servizio di “cancellazione” automatica, chiedetevi che cosa succederebbe se la foto “temporanea” diventasse permanente e circolasse.
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Persistence paid off for intern James Frater
Welcome to the latest edition of “My Path to Google,” where we talk to Googlers, interns and alumni about how they got to Google, what their roles are like and even some tips on how to prepare for interviews.
Today we spoke with James Frater, a business intern working virtually in London. Learn how James’s passion for equitable solutions and love of learning brought him to Google.
What do you do at Google?
I am a Business Development Representative Intern for Google Cloud working in the Europe, Middle East and Africa (EMEA) region. In the role, I help leaders within organizations to work through their specific pain points and match them up with the arsenal of specific solutions that Google has to meet their needs.
I am fortunate to be in one of the most supportive and encouraging teams I have ever had the pleasure of working in. It means that everyday when I wake up, I look forward to coming to work because I know that irrespective of the challenges that lie ahead, I have a team that will support me.
What made you decide to apply to Google?
My decision to apply to Google was simple. I wanted to be somewhere that allowed me to build sustainable and scalable tech solutions that measurably improved the lives of the people that needed the most help. In particular, a long term goal of mine is to make sure that everyone in the Caribbean has access to good healthcare, education and technology that makes their lives easier. Google is a positive and transformative vehicle that serves the needs of billions of people. I wanted to be a part of that.
I had applied to Google before; this was the third year in a row, in fact! I was really determined to get in because I knew what a great opportunity this was and I really believe I had what it took to be a Googler. I was fortunate enough to attend a Google Black talent event in 2020 and I was able to get some really great advice about applications. For example, in the interview it’s less about arriving at the right answer and more about the thought process. Being able to ask clarifying questions, especially when you’re not sure, will impress your interviewer. It was definitely third time lucky for me!
How would you describe your path to Google?
My path to my current role was… unconventional to say the least. I am a medical student, who has completed a management degree and also dabbles in efforts to reduce inequitable access to opportunities. I have completed internships in insurance, professional services, education and technology.
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When it comes to activism, creativity and focus count
Editor’s note: This the third in a four-part series of interviews between expert panelists for the Google.org Impact Challenge for Women and Girls.Today’s interviewer, Kate Garvey, is the co-founder of Project Everyone, which aims to make progress in achieving the United Nations’ 17 Sustainable Development Goals.
Amika George is a 21-year-old activist who, after learning about the lack of awareness around period poverty, started a movement in the UK that turned into a tidal wave of change. She went on to write a book about the lessons she learned from that experience…all before graduating from university.
Her commitment to this issue made her the perfect fit to be an expert panelist for the Google.org Impact Challenge for Women and Girls. Along with 27 other incredible women, Amika and I have the honor of helping select the grantees — nonprofits and social enterprises that are leading the way to a better future for women and girls — who will be announced later this year.
Until then, here’s my conversation with Amika George.
What drove you to become an activist?
At first I didn’t identify as an activist because I didn’t know what it meant and it felt like a loaded term. But the issue of period poverty — when people who menstruate can’t afford period products — made me think more critically about activism. I started Free Periods in 2017 after learning about girls in the UK who miss a week of school every month as a result of period poverty. I was shocked and upset by the reality of it.
Free Periods began online as a petition and branched out to organizing protests and events. Our efforts led to a legal case that required schools to provide free menstrual products. Now we can confidently say that every student in England can get the products they need.
What is one lesson about activism that you would pass on?
For many marginalized people, or even people who aren’t old enough to vote, activism is how you can have an impact in a productive way. For young people, the issues we’re most scared of — structural racism, the climate crisis, widening gender inequality — aren’t always prioritized or reported on. You need your own way to have an impact and shape our future.
What’s next for you?
My generation is realizing that it’s more productive and effective when you focus on one thing. I often get asked, “What about the climate crisis, is that what you’re going to focus on next? Are you going to address poverty as a whole?” But no one individual can end poverty or the climate crisis. You can choose one small thing, find your niche and focus on that. And frameworks like the UN’s Global Goals are useful — they’re the roadmap to a better world. You can take the one thing you’re working on and see how it links to one of the Goals.
There must have been low moments or moments when things went wrong. What advice do you have to deal withthat?
I learned too late that you can’t do things on your own. There wasn’t a huge amount of public discussion about period poverty before Free Periods, and it gave me a platform to reach people. But I was still only 17.
There’s a whole chapter in my book on mental health and how it wasn’t sustainable for me to carry the movement on my own. It’s difficult not to take things personally, but when you have a community you can find strength when everyone is working hard and committed to the cause.
Any final words of wisdom for the grantees of the Impact Challenge, and those fighting for women’s economic empowerment?
Be creative, especially right now. In lockdown, our lives changed in a drastic way and we had to think differently. We couldn’t have protests or speak face to face, and we continue that creativity going forward. Creativity is an essential part of activism.
News Brief: July updates from the Google News Initiative
Last month, we explored mental health resources for journalists in the U.K., inclusive news coverage and innovation in Latin America, leadership training for reporters in Asia Pacific and more. Keep reading for July updates.
Promoting mental health in the media industry
Many of the challenges that impacted the mental health of journalists in the months and years before the global pandemic have been exacerbated by COVID-19. We’re supporting the Headlines Network to test out a new form of training in the United Kingdom to strengthen and promote mental health in the media industry. Independent industry experts will offer a safe space for early career journalists, new managers, mid-career journalists and senior leadership.
Reflecting on diversity in Latin American Journalism
We partnered with The Knight Center for Journalism in the Americas to publish the ebook “Diversity in Latin American Journalism,” which was announced at the annual conference of the National Association of Hispanic Journalists. In the book, 16 journalists from seven countries reflect on how to make newsrooms and news coverage more inclusive across gender, sexual orientation, racial and ethnic issues and disability. The ebook is available for free in Spanish.
Celebrating Innovation Challenge recipients
Building on the Digital News Innovation Fund in Europe, Google News Initiative Innovation Challenges have supported more than 180 projects that bring new ideas to the news industry. Around the world, we’re learning from former Innovation Challenge recipients who are using their funding to drive innovation in news.












