Information Ninja

02/20/2019

#AIChat

Marketers. Why are you scared of a robot taking your job?

#AIChat is a 30 minute Twitter chat. Where my guest(s) talk about artificial intelligence. And give you the insights you need to succeed at work. Or in your life.

Today’s guest? Katie King (her Twitter handle? @katieeking) The topic? Artificial intelligence and marketing.

**** Mistakes are mine ****

Here’s Q1 for @katieeking: Why are marketers afraid of AI? #AIChat pic.twitter.com/Cy0zFZX4FI

— Nick Tang (@nickhtang) February 20, 2019

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A1 – Marketing pros are fearful of losing jobs. Truth is, #AI will alter all tasks not wholescale jobs. Currently in period of assisted & augmented intelligence. The future could be more worrying; that is about autonomous intelligence. Long way off says @PwC_UK #AIChat

— Katie King, MBA (@katieeking) February 20, 2019

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A1 – As @Ingers1975 @PRCA_UK says in my book, “The obvious aspects of work, which are likely to be impacted first, will be monitoring and reporting. These are the elements where our industry expends its time least profitably." #AIChat

— Katie King, MBA (@katieeking) <a

Anything repetitive really although now we are seeing anything statistically guided being #AI replaced 🌐🤔 #AIChat

— BrainBlender🤔🌐 (@BrainBlenderTec) February 20, 2019

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href=”https://twitter.com/katieeking/status/1098282963190599680?ref_src=twsrc%5Etfw”>February 20, 2019

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A1 – As @Wadds from @CIPR_UK says in my book: “I would urge anyone to take a proactive approach to technology within their organization. Explore the changes that technology is driving in media and PR. There’s a growing body of knowledge related to AI and the professions" #AIChat

— Katie King, MBA (@katieeking) February 20, 2019

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As you keep talking about Q1, let’s roll out Q2 for @katieeking #AIChat: What type of guidelines do marketers need to implement AI? #AIChat

— Nick Tang (@nickhtang) February 20, 2019

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A2 – There are currently no definitive industry guidelines for #marketing. Check out my Scorecard for success in my book – https://t.co/abu9YEDlde – Not hype but evidence from my well researched book #AIChat

— Katie King, MBA (@katieeking) February 20, 2019

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A2 – My scorecard for success in the book covers a number of key areas, from mindset to culture, and experimenting to having a roadmap. But it all hinges on the goals of the organisation. Will you be a laggard or an innovator? to quote @Gartner_inc #AIChat

— Katie King, MBA (@katieeking) February 20, 2019

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A2 – James Delves, Head of #PR @CIMinfo says in my book “A lot has been written about IoT, big data, cloud, robotics – but #AI is set to rule them all. If you’re in marketing or PR you need to read this book, as AI is set to change the face of both professions for good,” #AIChat

— Katie King, MBA (@katieeking) February 20, 2019

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A2 – James Delves, Head of #PR @CIMinfo says in my book “A lot has been written about IoT, big data, cloud, robotics – but #AI is set to rule them all. If you’re in marketing or PR you need to read this book, as AI is set to change the face of both professions for good,” #AIChat

— Katie King, MBA (@katieeking) February 20, 2019

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A2 – we all have to play our role in setting the guidelines as #AI is BIG. It impacts trust, ethics, transparency. No one has all the answers so get involved with your industry body to ensure it's focused on doing good and being equitable #AIChat

— Katie King, MBA (@katieeking) February 20, 2019

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A2 – I’m part of a new All Party Parliamentary Group Taskforce @APPG_AI looking at the adoption of #AI in enterprise – https://t.co/LmGOxkREmE so I'd love to hear your views on AI's impact on #marketing and wider business per se #AIChat

— Katie King, MBA (@katieeking) February 20, 2019

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A2 – In the book I share real-world examples, #AI successes & failures from #banking, #retail, #tourism, as well as practical implementation strategies. Chapters in the book also tackle business and societal issues such as motivation, job losses, ethics, and trust #AIChat

— Katie King, MBA (@katieeking) February 20, 2019

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A2 – for any #MiddleEast followers, I'm off to #Dubai 26 March. I’m running 1-day #training course on how to harness #AI for business growth. EventBrite details here –https://t.co/cBg5U47nEP – #AIChat

— Katie King, MBA (@katieeking) February 20, 2019

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02/18/2019

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#AIChat

Cupcakes and cocktails.

This is a summary of #AIChat (a 30 minute Twitter chat on artificial intelligence). Where my guest(s) cut through the artificial intelligence noise.

On February 12, 2019, my guests? Kerry Harrison (@copywriterkerry) and Richard Norton (@ericbratislava) from @wearetinygiant (https://www.tinygiant.io/) The topic? #AI #cupcakes #alcohol #augmentedcreativity

*** Mistakes are mine. ***

Here’s Q1 for @ericbratislava and @copywriterkerry

I love your #AI and #cupcakes idea (https://t.co/fZ2ZfBZd4e) . Q1) How does this demonstrate the potential of #AI and #humans working together? #AIChat pic.twitter.com/qDpI9wLOa8

— Nick Tang (@nickhtang) February 12, 2019

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The neural network came up with recipes we'd never have considered before. The human brought all her experience in cake making to dial up and down the ingredients to make them taste amazing.

— Kerryharrison (@copywriterkerry) February 12, 2019

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A1: Our AI cupcake project https://t.co/SY1OwYHgjl was all about human-AI collaboration. The neural network generated 80 recipes, which were weird and wonderful. We then collaborated with a cake expert to make them a reality.

— Kerryharrison (@copywriterkerry) February 12, 2019

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A1 Interesting as we are now seeing the surge of #AI vending machines although most are #ML not AI but everything from custom cupcakes to dentistry is being vending machine tested globally🌐🤔 #AIChat

— BrainBlender🤔🌐 (@BrainBlenderTec) February 12, 2019

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What a sweet fusion! 🧁 Thanks for introducing us to this. Looking forward to hearing more about how you augmented traditional recipe development with AI. #AIChat

— Adlib Software (@adlibsoftware) February 12, 2019

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As you continue to discuss Q1, we’re going to switch to #AI and #cocktails! Based on this article: https://t.co/HA6WaL53Hi #AIChat

— Nick Tang (@nickhtang) February 12, 2019

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Here’s Q2 for Eric (@ericbratislava) and Kerry (@copywriterkerry) from @wearetinygiant (https://t.co/n5q3Y7uz4J) Q2) How did the bartender feel when he was following the #AI recipe? #AIChat

— Nick Tang (@nickhtang) February 12, 2019

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#AIChat A2: TBH he was a little nervous. He was concerned the AI would replace him and take his job. But after a while playing with the AI-generated recipes, he realised that he could bring his experience and creativity to the mix. And he could create something very different.

— Kerryharrison (@copywriterkerry) February 12, 2019

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#AIChat For example, one of the AI-generated recipes had ice cream in it. Normally ice cream is put on the top of drinks (Coke float) but the mixologist decided to blend it in with the other ingredients. And it tasted delicious!

— Kerryharrison (@copywriterkerry) February 12, 2019

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A2 Therein is the issue as now you can have a bot bartender that makes the recipe identical every time but using #AI can vary to personal preference 🌐🤔 #AIChat

— BrainBlender🤔🌐 (@BrainBlenderTec) February 12, 2019

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Tagged alcohol, Artificial Intelligence, cocktails, Cupcakes

01/22/2019

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#AIChat, Artificial Intelligence

What’s a Digital Twin? (#AIChat – Jan 10/19)

My guest? @RobTiffany. The topic? The value of digital twins to model machines, processes and businesses. Mistakes are mine. Not Rob’s. P.S. The goal of #AIChat? To help you cut through the artificial intelligence noise.

** 10 min until #AIChat. Join me from 2PM ET to 2:30PM ET My guest? @RobTiffany. The topic? The value of digital twins to model machines, processes and #business P.S. This is a 30 minute #AIChat. P.P.S. A S/O to @vfiorese_ for suggesting @RobTiffany as an #AIChat guest. ** pic.twitter.com/TtsZHNs5RJ

— Nick Tang (@nickhtang) January 10, 2019

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Twitter Universe.

Welcome @RobTiffany!

It’s a 30 minute #AIChat.

Let’s hit the ground running.

Here’s Q1) Can you define what’s a digital twin? #AIChat

— Nick Tang (@nickhtang) January 10, 2019

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A1: In it’s simplest form, a digital twin is a digital representation of a physical object. This could be a machine, a person, or even a process. #aichat

— Rob Tiffany 🇺🇸 (@RobTiffany) January 10, 2019

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A1.1: For some history, digital twins were originally created by NASA to have high-fidelity models of spacecraft for design and troubleshooting. #aichat

— Rob Tiffany 🇺🇸 (@RobTiffany) January 10, 2019

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A1 follow-up. Is there such a thing as a wrong #digital #twin #AIChat?

— Nick Tang (@nickhtang) January 10, 2019

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A1.2 A digital twin can be wrong and therefore deliver bad results if it’s properties or attributes don’t match the physical object precisely. #aichat

— Rob Tiffany 🇺🇸 (@RobTiffany) January 10, 2019

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Q 1.3 Can a digital twin be more observable than the object it represents and does that make it less than a twin? #aichat

— spara (@spara) January 10, 2019

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A1.3: Digital twins tell the story of the machine #aichat

— Rob Tiffany 🇺🇸 (@RobTiffany) January 10, 2019

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Still in use. DART https://t.co/n6IdVbRUg7 #aichat

— spara (@spara) January 10, 2019

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A1.4: Since a #DigitalTwin can carry more measured and calculated data than the physical object, I think it makes it a super twin. In a well-functioning system, the twins will drive all your operations. #aichat

— Rob Tiffany 🇺🇸 (@RobTiffany) January 10, 2019

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It does, but it makes it seem that the digital twin is the system controller. #aichat

— spara (@spara) January 10, 2019

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Here’s Q2 for @RobTiffany (it’ll help you with his definition of #digital twin in Q1)

How does a digital twin link to model machines, processes and business? #AIChat

— Nick Tang (@nickhtang) January 10, 2019

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A2: For starters, I believe that #digitaltwins should be at the heart of any #IoT system since you can’t understand the telemetry #data being collected without modeling the schema or shape of the object producing the data to provide context. #aichat

— Rob Tiffany 🇺🇸 (@RobTiffany) January 10, 2019

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A2.1: When physical machines and people are connected to an #IoT system via a #digital thread of near real-time data, the digital twin is brought to life. You can see the latest state of the physical object as well as its history by viewing the digital twins. #aichat

— Rob Tiffany 🇺🇸 (@RobTiffany) January 10, 2019

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A2.2: Beyond being a mirror of physical objects, digital twins can also carry rules, KPIs and #Analytics with them that are triggered when new #data arrives. #aichat

— Rob Tiffany 🇺🇸 (@RobTiffany) January 10, 2019

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A2.3: The #DigitalTwin can map measure values to sensors from a physical object but it can also contain virtual or calculated values that are derived dynamically. #aichat

— Rob Tiffany 🇺🇸 (@RobTiffany) January 10, 2019

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A digital twin does a great job of properly organizing the data relevant to a physical object which makes it easier for advanced analytics, #MachineLearning, and #DeepLearning to do their thing. #aichat

— Rob Tiffany 🇺🇸 (@RobTiffany) January 10, 2019

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A2.4: The more #data your #DigitalTwins accumulate, the better the results will be from #AI. #aichat

— Rob Tiffany 🇺🇸 (@RobTiffany) January 10, 2019

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A2.5: Classes of machines that are the same as each other can be improved when the #digitaltwin of one machine solves a problem that can be shared across a fleet. #aichat

— Rob Tiffany 🇺🇸 (@RobTiffany) January 10, 2019

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Tagged Artificial Intelligence

01/22/2019

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#AIChat, Artificial Intelligence

No. #AI won’t take over a journalist’s job: #AIChat summary: Jan 11/19

#AIChat is a Twitter Chat where my guest(s) cut through the artificial intelligence.

#AIChat session with @the_claus and Professor @NeilMaiden

Talking about @inject_en

Mistakes are mine.

Q1) How does @inject_eu work? #AIChat

— Nick Tang (@nickhtang) January 11, 2019

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A1 So, INJECT is a new digital tool to support journalists to write more original journalism, more quickly than now. It combines NLP, information retrieval, entity extraction and recommender tech to present journalists with content to inspire new angles on stories #AIChat

— Neil Maiden (@NeilMaiden) January 11, 2019

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A1 followup: Does someone sort through the information INJECT gathers to make sure that there’s no bias in the article? #AIChat

— Nick Tang (@nickhtang) January 11, 2019

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A1. The team maintains an editorial board to manipulate news creatively from different better researched sources #AIChat. But creative ideas can come from all sources, so more sources are better…

— Neil Maiden (@NeilMaiden) January 11, 2019

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A1 followup: It is hard to find journalistic content without ANY bias. Since we are all (still) humans, everything we write is based on our upbringing etc

— Claus Hesseling (@the_claus) January 11, 2019

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INJECT could help journalists to overcome their own biases – in helping the to see "opposing" things #AIchat

— Claus Hesseling (@the_claus) January 11, 2019

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A1 The heart of INJECT is a set of creative search algorithms that operationalize expertise of experienced journalists in strategies. User choices to explore, for example numbers and evidence, or human angles, or comedy, invoke different creative search algorithms #AIChat

— Neil Maiden (@NeilMaiden) January 11, 2019

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A1. Unlike robot-journalism and other #AI uses, INJECT does not seek to replace any key element of a journalist’s work. Instead, it uses different technologies to enhance/empower journalists operating in less and less time, and fewer resources. Journalists control the AI #AIChat

— Neil Maiden (@NeilMaiden) January 11, 2019

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A1 Our INJECT team are currently designing new algorithms to manipulate the creative news index (now over 10million articles) to discover new, evolving, breaking and under-reported angles on topics. These new features should be available by the summer #AIChat

— Neil Maiden (@NeilMaiden) January 11, 2019

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A1 In background, 24/7, INJECT generates creative indexes of news stories. Using RSS, it reads and makes sense of about 15000 stories published each day from 300+ titles in 6 languages, and builds a rich index from which to generate creative guidance for journalists #AIChat

— Neil Maiden (@NeilMaiden) January 11, 2019

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A1 Furthermore, to support hyper-local and specialist journalism, INJECT’s algorithms can read and make sense of local news and other types of archive, so that INJECT’s creativity support can exploit these information assets #AIChat

— Neil Maiden (@NeilMaiden) January 11, 2019

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Many journalists are afraid of algorithms and #AI – but INJECT's mission is to create AI tools that support journalists #AIchat

— Claus Hesseling (@the_claus) January 11, 2019

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As we’re talking Q1, here’s Q2 for Professor @NeilMaiden and @the_claus How does @inject_eu help journalists and their newsrooms? #AIChat

— Nick Tang (@nickhtang) January 11, 2019

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A2: #AIChat. INJECT is different from other search engines. Engines like Google look to return the best-fit that you asked for. INJECT takes what you ask for, and gives you something a little different. Many people struggle with idea, at first. I think of it as ‘Googlisation’

— Neil Maiden (@NeilMaiden) January 11, 2019

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A2 Journalists also use INJECT in unpredicted by creative ways. For example some freelancers use it to prepare for interviewing people, others to discover new stories and outlines to pitch to editors #AIChat

— Neil Maiden (@NeilMaiden) January 11, 2019

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A2) NYT or WaPo have great archives – and if you use it right it can be a goldmine. But smaller news outlets often don't have to resources to do that. INJECT could provide help here #AIchat

— Claus Hesseling (@the_claus) January 11, 2019

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A2 #AIChat By ‘smart’ archive, we mean that we attach machine-readable semantics to published articles. We can extract content, tag it with inferred meanings, and manipulate these INJECT inferences in the tool’s reasoning engines

— Neil Maiden (@NeilMaiden) January 11, 2019

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A2 #AIChat. Yes, Claus raises a key issue. Many media organisations are seeking to make smarter use of their #news archives, and journalists also want to be inspired by what they themselves have written before

— Neil Maiden (@NeilMaiden) January 11, 2019

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A2. Our studies with INJECT reveal that INJECT works better to support more original feature articles. So our recent focus has been to support news and media businesses focused on quality #journalism. #AIChat

— Neil Maiden (@NeilMaiden) January 11, 2019

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Follow up Q in response to A2: It's great that you are surfacing smaller publications!! Given the problems we've had with fake news lately, how do you ensure the news (source) is credible? #AIchat

— Mia Dand (@MiaD) January 11, 2019

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A2 #AIChat. Mia – we have chosen a set of over 300 publication titles in many countries across 3 languages, to reduce the risk of bias, echo chambers etc. But this approach is not foolproof. So INJECT seeks to empower journalists to avoid ill-researched sources

— Neil Maiden (@NeilMaiden) January 11, 2019

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A2: Adding to that: Even big new organisations get things wrong. So far there is no AI to solve this #AIchat

— Claus Hesseling (@the_claus) January 11, 2019

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A2: Plus: With INJECT also smaller publications can make us of AI and machine learning. With our tool they can turn their "dumb" archive into "smart" archive #AIChat

— Claus Hesseling (@the_claus) January 11, 2019

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A2 Our studies of INJECT newsrooms have shown that its use improved the novelty of articles written by journalists over a period of months. Journalists generated not only new angles but also new content and new forms of content #AIChat

— Neil Maiden (@NeilMaiden) January 11, 2019

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A2) and an essential one to keep in mind. Even with the AI software, it’s still up to the reporter to make sense of it all. In order to create a well balanced article. #AIChat

— Nick Tang (@nickhtang) January 11, 2019

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Well-said @nickhtang I am a big fan of quality journalism and any technology that helps surface content from the smaller publications that get overshadowed by the big outlets…!!! #AIchat

— Mia Dand (@MiaD) January 11, 2019

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#AIChat One wider observation is that journalists seek more original news stories. This requires #creative thinking of different forms. In this sense INJECT is different for uses of machine learning tools in news

— Neil Maiden (@NeilMaiden) January 11, 2019

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#AIChat Thanks to Nick and Mia. You can find out more about our INJECT project and product at https://t.co/AmHC0aW6Zx

— Neil Maiden (@NeilMaiden) January 11, 2019

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Tagged Artificial Intelligence, Journalism

01/22/2019

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#AIChat, Artificial Intelligence

Welcome to 2019. Is it Time to Tax the Artificial Intelligence and Robots Who Take our Jobs?

This is the first unofficial #AIChat for 2019.

#AIChat is a Twitter chat that helps you demystify artificial intelligence.

This topic?

Started by @JBarbosaPR.

Should #AI and #robots pay taxes? Mistakes are mine. Not @JBarbosaPR

There has to be a clear intent to make #AI & #Robots pay taxes . Beware, To the masses its a farfetched idea, but the implications of NOT addressing it are unnerving. #society #jobs #taxes #AI #unemployment #disruption @MiaD @nickhtang pic.twitter.com/5TlZuV3B1z

— Jan Barbosa 🐝 (@JBarbosaPR) January 3, 2019

we don’t tax the tools we use to make products,
and AI and Robots are just tools, nothing too tax,
the product that is sold is what should be taxed.

— Stanley Waite (@stanleywaite1) January 3, 2019

Taxing robots is crazy and impractical. Should we tax washing machines? How about software? Can you even define the robots that would be taxed?

— Peter Harris (@2peterharris) January 3, 2019

Well #robotics / #AI could wipe out entire departments and make many blue collar jobs obsolete. How many could be trained ? I gave training overseas to a dept changing from paper to digital and a few people just quit their jobs the first day as jobs dry up who pay the tax?

— Jan Barbosa 🐝 (@JBarbosaPR) January 3, 2019

Noting there is a problem is not the same thing as having a good solution. It may be that technology will affect jobs, but taxing robots is not the answer. Software will displace more people than robotic machines, by far.

— Peter Harris (@2peterharris) January 3, 2019

Feel #AI is seen more as a cost cutting tool than a job empowering tool. Already soaring GNP is not representative of economic state of a country as workplace is doing more with less workers and far less salaries.

— Jan Barbosa 🐝 (@JBarbosaPR) January 3, 2019

Cost reduction and productivity improvement are the same thing… In any case, if you propose taxing robots, you first need to define robot, which I submit will be a hard thing to do.

— Peter Harris (@2peterharris) January 3, 2019

Agree, and I get its not in the mind of #techs to implant taxes / use of tech politics. But same for #CRISPR , #AI use, or Job Cutting #tech it will finally rest in the hands of politicians / society / economist to decide possibly never the techs. Great idea for #AICHAT 🤔

— Jan Barbosa 🐝 (@JBarbosaPR) January 3, 2019

Most of it rests in the hands of the developer as they can hold or launch a disruption which usually is far ahead of what Gov is ready for🌐🤔 #AIChat

— BrainBlender🤔🌐 (@BrainBlenderTec) January 3, 2019

Value creation that is not done by human beings needs to pay for the viable marketplace of consumers, who cannot consume if value creation is done by robots. Only in totally insane world do you have robots created to buy stuff they have no idea why there were programmed to buy.

— CityVP Manjit (@CityVP) January 4, 2019

Corporations have Personhood , yet their personhood allows far more flexibility than ours. In a globalized world corporate personhood can move freely between states and achieve perks as tax benefits than humans cant. Then why not #AI / robots fall under same rules ? #ethics #AI

— Jan Barbosa 🐝 (@JBarbosaPR) January 4, 2019

I don’t believe that corporations are people but if you can get 5 votes to swing your way on the Supreme Court – all bets are off. The 1% are not robots, they are living flesh and blood people who need robots to squeeze the next bit of green juice from their plutocratic economy.

— CityVP Manjit (@CityVP) January 5, 2019

Thank you for raising an important, largely overlooked issue: “Why we should start taxing the robots that are taking human jobs (How #automation helps tax avoidance)” via @TC_Africa https://t.co/Z7xmAWNw5D #4IR #AI #Robotics

— Glen Gilmore 🚀 #MWC19 (@GlenGilmore) January 4, 2019

i fully disagree with the idea of taxing the robots…
there has been no problem for decades with the robots that have been used in the car industry, workers have all found new jobs to do and cars became cheaper or better for the same price, more sales generated more tax gained.

— Stanley Waite (@stanleywaite1) January 4, 2019

What Jan is proposing isn’t all that far-fetched. Appliances like washing machines are already taxed and so are software, services, etc. We will need to rethink the tax code to accommodate this new category of “robot service providers”.

— Mia Dand (@MiaD) January 3, 2019

Then what you are likely proposing is something more like a broad tax on capital assets, including software. Remember, a machine tool is just another automated worker. But, taxing sources of productivity enhancement is generally bad economics..

— Peter Harris (@2peterharris) January 3, 2019

Our current tax code isn’t adequate to cover the variety of form factors that robots/AI may take in future. Will need input from tech, law makers, accountants, AI ethicists etc. to come up with a solid taxation model. Either way, good discussion! Thanks all!

— Mia Dand (@MiaD) January 3, 2019

This article is discusses the problems that are not solved with taxing robot / AI owners. It is about more than the universal income. https://t.co/xRm9qpECRy

— Kevin K. Conroy (@KevinKConroy) January 3, 2019

Tagged Artificial Intelligence

12/17/2018

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#AIChat, Artificial Intelligence

If you don’t get #digitaltransformation and #AI right…Watch out

#AIChat is a Twitter chat.

My guest(s) cut through the artificial intelligence (AI) noise.

To help you make sense of the AI world.

On December 13/18, my guest was Shane Fogle (@fogle_shane).

The topic? Artificial intelligence and digital transformation.

Here’s the summary of this AIChat (P.S. Mistakes are mine):

This is only the question we’ll talk about today with my guest @fogle_shane:

Q1)

If a company doesn’t get digital transformation, can #ServiceNow and #AI help it? #AIChat

— Nick Tang (@nickhtang) December 13, 2018

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A1 Absolutely! #ServiceNow has inherent machine learning and automation features which were designed to support #DigitalTransformation via their “Now Platform” which was built to support Intelligent Automation #AIChat

— Shane Fogle (@fogle_shane) December 13, 2018

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A1 It’s also important to note that while platforms, such as #ServiceNow can help enable #DigitalTransformation the organization must culturally be prepared to adopt and support #AIChat

— Shane Fogle (@fogle_shane) December 13, 2018

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A1: #AI and #DT are intrinsically linked. It’ difficult to separate the practice of digital transformation from AI. We need to dig deeper to unveil the specific AI applications that will have the biggest impact on digital transformation. #AIchat

— Adlib Software (@adlibsoftware) December 13, 2018

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A1) follow up to @fogle_shane and @adlibsoftware -> what’s the worst case scenario if a company’s culture doesn’t support #digitaltransformation? Could #AI still save it? #AIChat

— Nick Tang (@nickhtang) December 13, 2018

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A1 (follow up) Yes, I think so- Sometimes it takes “seeing” it in action to truly understand the impact, which if you’ve implemented the right platforms/tools that truly benefit the organization, adoption seems to happen almost as a by-product of the implementation

— Shane Fogle (@fogle_shane) December 13, 2018

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And they must understand its potential impact! According to the Harvey Nash/KPMG CIO Survey for 2018, 48% of CIOs reported that their teams are very or extremely effective at understanding the impact of #DT on their industries. #aichat

— Adlib Software (@adlibsoftware) December 13, 2018

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Entirely possible. Few businesses are yet taking advantage of innovations such as #AI and #RPA. Indeed, many seem locked in the planning phases or are bogged down by legacy systems #aichat

— Adlib Software (@adlibsoftware) December 13, 2018

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Could you explain #RPA for us @adlibsoftware (in case we have non-techies in the #AIChat audience)? #AIChat

— Nick Tang (@nickhtang) December 13, 2018

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Absolutely! #RPA stands for Robotic Process Automation. In its simplest terms, it refers to technology that streamlines and automates repetitive tasks, thus minimizing errors and increasing productivity. #aichat

— Adlib Software (@adlibsoftware) December 13, 2018

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Excellent! Thank you! If organization get #RPA and the processes right = successful #DigitalTransformation with #AI? #AIChat

— Nick Tang (@nickhtang) December 13, 2018

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It’s possible. Success inherently stems from the data that drives these innovations. The first step to digital transformation is putting the pieces in place to make organizational data holistic and readily utilized. #aichat

— Adlib Software (@adlibsoftware) December 13, 2018

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Agree 100%. As I have learned in leading #DigitalTransformation implementations, no two are the same, especially as it relates to value and impact to the organization #AIChat

— Shane Fogle (@fogle_shane) December 13, 2018

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A1 I think it’s also important to note that #DigitalTransformation can be a phased process. There are many differing technologies/capabilities that can be used individually or combined to provide the most value to an organization. #AIChat

— Shane Fogle (@fogle_shane) December 13, 2018

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The businesses who are early adopters are the ones who have data that is primed, compliant and ready to generate innovation. Otherwise, it’s garbage in garbage out. Innovation is only as good as the data that fuels it! #aichat

— Adlib Software (@adlibsoftware) December 13, 2018

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Agree! There is apprehension in some industries/vertical as it relates to these technologies, while others are adopting it as quickly as innovations occur #AIchat

— Shane Fogle (@fogle_shane) December 13, 2018

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Then its a battle as there are so many human factors that arise & reality most businesses adopting #DigitalTransformation & #AI aren’t ready but is a necessity to stay relevant 🌐🤔 #AIChat

— BrainBlender🤔🌐 (@BrainBlenderTec) December 13, 2018

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12/10/2018

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#AIChat, Artificial Intelligence

No. The Robot nor Artificial Intelligence will take over the advertising industry (#AIChat summary from November 21/18)

#AIChat is a Twitter chat that helps you demystify the artificial intelligence world.

My guest on November 21st?

Emma Cunningham (@EmmaCunningham is her Twitter handle). An ad strategist.

The topic? Can artificial intelligence and the ad strategist work together?

P.S. Mistakes are mine.

Here’s question #1 for @EmmaCunningham: Where does the human strategist have an edge over artificial intelligence? #AIChat pic.twitter.com/vzdotX57r4

— Nick Tang (@nickhtang) November 21, 2018

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A1 A human strategist can think critically. AI can perform complex functions and process data, but they can’t necessarily take it to the true insight level. #AIchat https://t.co/I4gV439mmN

— Emma Cunningham (@EmmaCunningham) November 21, 2018

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As you’re talking about Q1, here’s Q2 for @EmmaCunningham Can artificial intelligence take over the basic strategist role? While the strategist focuses on solving the clients’ problem with their creativity and knowledge? #AIChat pic.twitter.com/XoIJEXppQT

— Nick Tang (@nickhtang) November 21, 2018

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We’re not there yet. But #AI is being used in creativity with some using it for ads – Lexus and IBM debuted the world’s first entirely scripted by AI. https://t.co/YmBYQKAyYf #AIChat

— PRKSheehan (@PRKezza) November 21, 2018

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I think #AI can take on a lot of the work because they simply work faster, but I’m not sure they can even replace a junior strategist, who needs to tell the computer what information we’re looking for. https://t.co/HucGfHHbw2

— Emma Cunningham (@EmmaCunningham) November 21, 2018

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There are definitely some cool campaigns coming down the pipeline. And of course, in 5-10 years my answers could be completely different. I don’t work in robotics, so I can only speak to where things are today. https://t.co/zGoWjN7JLv

— Emma Cunningham (@EmmaCunningham) November 21, 2018

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Do you think that there will be a time that #AI takes over the entire process? #AIChat

— Nick Tang (@nickhtang) November 21, 2018

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Do you think that there will be a time that #AI takes over the entire process? #AIChat

— Nick Tang (@nickhtang) November 21, 2018

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11/07/2018

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#AIChat, Artificial Intelligence

Summary of #AIChat (Wednesday, November 7th, 2018)

#AIChat is a Twitter chat on artificial intelligence.

Its purpose? To demystify artificial intelligence (AI)

Today’s guest?

Professor Marian Mazzone (her Twitter handle? @MarianMazzone), Associate Professor, Modern and Contemporary Art at the College of Charleston (the College’s Twitter handle? @CofC).

The topic? Talking AI and art. Based on this article: https://www.newscientist.com/article/2139184-artificially-intelligent-painters-invent-new-styles-of-art/#.W2CnLRqXcIk.twitter

P.S. Mistakes are mine.

P.P.S. Professor Mazzone’s websites:

https://marianmazzone.weebly.com/

http://arthistory.cofc.edu/about-the-department/faculty-and-staff/mazzone.php

Here’s a summary of Professor Mazzone’s #AIChat:

Let’s hit the ground running.

Here’s question #1 for Professor @MarianMazzone:

You have an unconventional background. How did you become interested in artificial intelligence? #AIChat pic.twitter.com/yj6wBx3gfO

— Nick Tang (@nickhtang) November 7, 2018

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I teach contemporary art, and became interested in artists working in “new media”, what we in the American art history world call computer-based art. So, wanted to know more about how and why that kind of work came about, and to understand what artists need to do to make work.

— Marian Mazzone (@MarianMazzone) November 7, 2018

That meant reading about computation, discovering what computer scientists were doing with art work, and then trying to find someone to collaborate with from that world. I reached out to Professor Ahmed Elgammal at Rutgers.

— Marian Mazzone (@MarianMazzone) November 7, 2018

A1) did Professor Ahmed Elgammal give you any further advice on how to mesh #AI and #art 🌎? #AIChat

— Nick Tang (@nickhtang) November 7, 2018

Not sure if my answer to the question came through: I work with him and his grad students, going up once a year to do an art history “bootcamp” for the students, and we toss ideas back and forth about new things to try, such as Shape of Art History https://t.co/7KN0AV5Ewc

— Marian Mazzone (@MarianMazzone) November 7, 2018

Here’s question #2 for Professor @MarianMazzone:

How can #AI be used in the art world? #AIChat pic.twitter.com/4wQq2Nbq7L

— Nick Tang (@nickhtang) November 7, 2018

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A2) determing a workable formula for creating something (a parallel process to human creativity) is challenging. And of course this issue of creativity runs right into the sensitive area in art of what creativity is, and whether something is “art”.

— Marian Mazzone (@MarianMazzone) November 7, 2018

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A2) is this why everyone in the art world is having problems when it comes to #AI and #art Professor @MarianMazzone? #AIChat

— Nick Tang (@nickhtang) November 7, 2018

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Absolutely. I had more concerned messages/questions from artists on the CAN paper than anyone. Let me stress: machine learning cannot/will not replace human creativity! They’re not the same, they are parallel. Instead artists can begin to think of working with AI as a partner

— Marian Mazzone (@MarianMazzone) November 7, 2018

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I think it is important to note that with the hyper blending of styles, entire movements may be started within the art world by AI. That is weird to think of in regards to most art movements having a social cause behind them.

— US Cybersecurity Mag (@USCyberMag) November 7, 2018

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To follow, I ask whether AI could be created by malicious actors to help spread propaganda within the art world? I love the idea of AI aiding art, but thinking about the potentially dangerous sides is always interesting.

— US Cybersecurity Mag (@USCyberMag) November 7, 2018

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This is where Art & #AI #cybersecurity mesh as through visual or audio embedded code could monitor as well as update 🌐🤔 #AIChat

— BrainBlender🤔🌐 (@BrainBlenderTec) November 7, 2018

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Of course the work that was sold at Christies recently didn’t help. There are better examples out there of high-level engagement with the issues and the tools of AI. And better art!

— Marian Mazzone (@MarianMazzone) November 7, 2018

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But you must also accept that more & more creative art is being produced by #AI as words are transferred to images & songs into landscapes which creates an interactive environment 🌐😎 #AIChat

— BrainBlender🤔🌐 (@BrainBlenderTec) November 7, 2018

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True, there is a difference between creative art more broadly, and visual art with its particular history. Will we want to retain visual art, or subsume it into an environmental combination of sound, sight, words, places?

— Marian Mazzone (@MarianMazzone) November 7, 2018

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or a space? 3 D ultimately, something we go into….

— Marian Mazzone (@MarianMazzone) November 7, 2018

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Yes as the micro bead structures change to personal cues & are amazing but it takes performance & stationary art to new levels 🤔 #AIChat

— BrainBlender🤔🌐 (@BrainBlenderTec) November 7, 2018

https://platform.twitter.com/widgets.js

As you’re talking on Q2, here’s question 3 for Professor @MarianMazzone.

Do you see the lines getting blurry between the human painter and #AI? #AIChat pic.twitter.com/lIzolsaL4S

— Nick Tang (@nickhtang) November 7, 2018

A3) One of the reasons AI work has come up in contemporary art is the shift away from the dominance of painting in this period. Conceptual art is the better connection: it can manifest in a variety of physical materials/forms, but the thought process of the art production is key.

— Marian Mazzone (@MarianMazzone) November 7, 2018

Actually Im no connoisseur of modern art but classic art well I can appreciate ( can #AI make comparable art of the ancient masterworks?? YES. #aichat

— Jan Barbosa 🐝 (@JBarbosaPR) November 7, 2018

#AI with a 3D printer could make lets say a statue of david vs goliath and change it to the buyers tastes.. smaller / bigger / david holding golath head / anything and be made in hours. lets call it art in the go. #aichat

— Jan Barbosa 🐝 (@JBarbosaPR) November 7, 2018

Not unlike how artists had workshops in the past, made work to order, and made multiples if clients liked a work and wanted one for themselves. AI may change the production/consumption patterns again!

— Marian Mazzone (@MarianMazzone) November 7, 2018

While we’re talking on Q2 and Q3, here’s the last question for Professor @MarianMazzone.

Q4) What’s the role of the generative adversarial network in the process? #AIChat pic.twitter.com/RAvf9Y4sbN

— Nick Tang (@nickhtang) November 7, 2018

#aichat the invention of the #photography triggered the avant-garde movements. In the case we can get a #AI which can imitate the #art (in appearance at least) of the humans and, doing a little of sci-fi, do you think it could happen a similar shake of the art movements?

— Juan de la Cruz (@jdelacruz_IoT) November 7, 2018

This is a good point you make. Photography changed how artists saw, and how they then made images. It is entirely likely that work generated by AI will also affect how artists see: it becomes a feedback loop!

— Marian Mazzone (@MarianMazzone) November 7, 2018

11/01/2018

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#AIChat, Artificial Intelligence

#AIChat Summary -> Wed. Oct 24th, 2018

#AIChat is a 60 minute Twitter chat on artificial intelligence (AI).

Where my guest cuts through the AI noise.

To give you actionable advice you can use at work.

Today’s guest? Tricia Howard. Tricia is the best when it comes to #cybersecurity. She works as @Optiv. And you can read her cybersecurity articles on her website: https://triciakickssaas.com/. Or from her Twitter account (@TriciakicksSass)

The topic? AI and cybersecurity.

Here’s question Q1) How is #AI being used in #cybersecurity? #AIChat pic.twitter.com/d5ijfrpyLZ

— Nick Tang (@nickhtang) October 24, 2018

A1 – There are two sides to this, the whitehat side and the blackhat side. From the good side, there is everything from cognitive search engines, ahem, @IBMWatson, all the way to zero-day #malware protection. One of the most practical applications is the #UEBA factor. #AIChat

— Tricia A. Howard🦄🎭 (@TriciaKicksSaaS) October 24, 2018

A1 (2) Being able to recognize anomalies in user behaviour which kicks off an automated workflow.The most exciting to me personally is the automated data lake. Data is only as good as what you use it for. #AIChat

— Tricia A. Howard🦄🎭 (@TriciaKicksSaaS) October 24, 2018

A1 (3) When we talk #BigData someone has to be there to ingest and make sense of all of it to bring out real business use cases. #AI can do that, and at a fraction of the time it would take for humans to analyze. #AIChat

— Tricia A. Howard🦄🎭 (@TriciaKicksSaaS) October 24, 2018

A 1: AI and Machine Learning are being combined to provide insights that humans can’t catch in devices – anomalies, speed up detection, and other subtle, notable patterns that could indicate a breach of security. #AIChat

— US Cybersecurity Mag (@USCyberMag) October 24, 2018

A1 – suppose your system admin’s master password was #hacked. #AI will detect that the credentials were used from Pakistan – but your admin 👩‍💼 lives in Miami. It will trigger a big red flag and sound the alarm bells.

— Avrohom Gottheil (@avrohomg) October 24, 2018

We agree with @USCyberMag!

“As with any new technology, there will be failures”

— Proven Data (@Proven_Data) October 24, 2018

While you’re all discussing Q1 for @TriciaKicksSaaS, let’s start on Q2. What are the challenges of using #AI in #cybersecurity? #AIChat pic.twitter.com/MNXDxAoE0d

— Nick Tang (@nickhtang) October 24, 2018

A2: This is where I was talking about the two sides of #AI. With every great innovation there can be a negative application. From the “bad” point of view – there are so many “hacker toolkits” that automate attacks at a relatively low cost.
#AIChat

— Tricia A. Howard🦄🎭 (@TriciaKicksSaaS) October 24, 2018

A2 (2): It is much more expensive to defend against these attacks than it is to deploy them (most of the time.) There’s still a lot of negative stigma around #AI as well which can be a challenge. #AIChat

— Tricia A. Howard🦄🎭 (@TriciaKicksSaaS) October 24, 2018

A2 (3): There are still lots of places for improvement for #AI in #security. It’s not a catch-all. There needs to be specific applications for the AI to be used in order for it to be effective… at least until we get truly cognitive ‘beings.” #AIChat

— Tricia A. Howard🦄🎭 (@TriciaKicksSaaS) October 24, 2018

A2 The challenge for using #AI in #Cybersecurity is that #technology changes rapidly, and the threat actors are extremely advanced. We have to continue to innovate to stay ahead of the game. #aichat

— Avrohom Gottheil (@avrohomg) October 24, 2018

A2: Challenges could stem from turning over all tasks to automation. #AI still requires some level of human interaction. It’s not a complete replacement, especially when critical data & PII etc are at stake in #cybersecurity. #aichat

— Adlib Software (@adlibsoftware) October 24, 2018

Yep. there always needs to be oversight. Take a light bulb for example: it’s pretty self-sustainable, does its job, etc…until it burns out and needs to be changed. We improve the life of them and optimize them, but they still have to be changed when they’re burnt out. #AIChat

— Tricia A. Howard🦄🎭 (@TriciaKicksSaaS) October 24, 2018

As you’re talking about Q2, here’s Q3 for @TriciaKicksSaaS: Do you think #AI will replace humans in #cybersecurity? #AIChat pic.twitter.com/EkSQZsVesB

— Nick Tang (@nickhtang) October 24, 2018

A3: Aha! One of the negative stigmas! I’ve actually written about this (not specific to security) and the answer is no. They will augment humans but not replace them. We will just get more sophisticated – more analytical roles rather than basic blocking and tackling. #AIChat

— Tricia A. Howard🦄🎭 (@TriciaKicksSaaS) October 24, 2018

A3 (2): True #AI is set it and forget it – and some of this is still rudimentary. We still need people tuning the software until it truly is learning on its own. #AIChat

— Tricia A. Howard🦄🎭 (@TriciaKicksSaaS) October 24, 2018

A3 (3): Aside from that, as we’ve said here today, there still needs to be oversight and coaching to get the machine to do the intended job. We don’t want to hinder it persay, but we need to be sure we’re keeping an eye on where it’s going to stay relevant. #AIchat

— Tricia A. Howard🦄🎭 (@TriciaKicksSaaS) October 24, 2018

Along the line wont the capabilities/ problems ahead allow for solely #ai intervention ??? In times when #ai could write its code / modify ( still proto ) just imagine capabilities used as exploitation tool ??? #CyberSecurityAwarenessMonth #CyberSec #cyberattacks #aichat

— Jan Barbosa 🐝 (@JBarbosaPR) October 24, 2018

I wouldn’t say solely #AI, but yes machines will be battling each other. It’s happening now.The bad peeps are using a code to figure out how to get in and the humans are catching up. When the machine becomes truly cognitive there will be AI battles. #AIChat

— Tricia A. Howard🦄🎭 (@TriciaKicksSaaS) October 24, 2018

A3: The #futureofwork will likely be augmented by #AI, not obliterated because of it. Teams can focus on strategy while #AI focuses on the automated, mundane tasks. #AIchat

— Adlib Software (@adlibsoftware) October 24, 2018

#AI systems yield a large number of false positives. You eventually need the help of human experts to find evidence of security breaches and make critical decisions. Till we attain #singularity 😂

— Archonsec (@archonsec) October 24, 2018

A3) As we have talked about extensively today, #AI has a wide margin for error, and therefore will never fully replace humans. Even when AI is perfected, we simply will have a different set of responsibilities and capabilities. #AIChat

— US Cybersecurity Mag (@USCyberMag) October 24, 2018

A3. Certainly not. #AI will only add up to human resources rather than replacing them for #cybersecurity

AI will be an enabler rather than a replacement for humans when it comes to cyber security.#AIChat

— Moin Shaikh (@moingshaikh) October 24, 2018

Last 10 mins of #AIChat with @TriciaKicksSaaS Talking #AI and #cybersecurity. Here’s the last question! Q4) What are the solutions for the #CISO looking to use #AI and #humans in #cybersecurity? #AIChat pic.twitter.com/HxJ9iJMycX

— Nick Tang (@nickhtang) October 24, 2018

A4: Threat Intelligence is your friend. Using #AI to pull from worldwide feeds with a simple search will be able to seriously beef up your security strategy. Any sort of #NGOA is killer too. The hackers are acting fast, so we need to be responding fast. #AIChat

— Tricia A. Howard🦄🎭 (@TriciaKicksSaaS) October 24, 2018

A4 (2): Being able to orchestrate and automate workflows and policies will assist with that. Ways that can augment your human team (especially with the talent shortage) is where you want to be looking to implement #AI into your security strategy. #AIChat

— Tricia A. Howard🦄🎭 (@TriciaKicksSaaS) October 24, 2018

I think the responsibility of a #CISO in regards to #AI and #ML is the same as current Cybersecurity practices. Enforce good practices that shrink the attack surface and set you up for success. AI is just another tool to help modernize and achieve that goal. #AIChat

— US Cybersecurity Mag (@USCyberMag) October 24, 2018

A4: Most of what we’ve discussed on #aichat today has centered on a unified approach between humans and #AI versus a silo approach. One cannot exist without the other.

— Adlib Software (@adlibsoftware) October 24, 2018

A4: AI/Automation should be used when knowing the problem you are trying to solve, which is a process. No point using AI on an inefficient process. That’s why you still do the hard work of modelling first (OODA works) before you implement. https://t.co/3P5igeDI6p #aichat

— Mark C Stafford (@StaffordCyber) October 24, 2018

How #AI Can Be Applied To #Cyberattacks https://t.co/ft2V0LdD1O by @d0znpp via @Forbes #CyberSecurity
Cc @Shirastweet @digitalcloudgal @TriciaKicksSaaS @TamaraMcCleary pic.twitter.com/Hil3UACTg3

— ipfconline (@ipfconline1) October 26, 2018

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Tagged Artificial Intelligence, Cybersecurity

09/13/2018

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#AIChat, Artificial Intelligence

Summary of #AIChat (Tuesday, May 1st, 2018)

#AIChat is a 60 minute monthly chat on artificial intelligence.

Where our guest(s) help you make sense of the artificial intelligence (AI) world.

To give you or your company ideas on how to use AI. At work. Or home.

This is a summary of #AIChat with @pchalasani, Chief Scientist @mediamath. Talking #AI #programmatic #marketing #ads #adtech

https://mobile.twitter.com/i/moments/991397829724667904

Tagged ads, adtech, Artificial Intelligence, marketing, programmatic

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