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Event Report: #WEF19 #Davos2019 Globalization 4.0 Under Fire As Global Leaders Fail The Populace
"While noble in intent, the forum drives deep discussion among its members. The research into political, societal, economic, and technology issues have raised public awareness. Despite the number of world leaders, business executives, non-profit pioneers, and other change agents, few major initiatives move from concept to commercialization and impact the general populace. Hence, many skeptics continue to criticize the WEF efforts."
@rwang0  2019  alliances  apps  strategy  artificial  intelligence  business  transformation  ceo  chief  customer  officer  data  digital  executive  financial 
16 hours ago by jonerp
Conversational AI goes mainstream at Capital One bank
"One of the world's largest banks explains how it uses natural language processing and intelligent assistants to improve customer service on the web and mobile. Read this insider glimpse into the future of banking and user interfaces."
artificial  intelligence 
22 days ago by jonerp
Using Machine Learning To Find Employees Who Can Scale With Your Business
"Betting on solid data and personalization at scale, on the other hand, delivers real results. Real data slices through the probabilities and is the best equalizer there is at eradicating conscious and unconscious biases from hiring decisions."
business  featured  posts  technology  software  trends  &  concepts  ai  applicant  tracking  systems  artificial  intelligence  ats  eightfold  hr  machine  learning  human  resource  management 
5 weeks ago by jonerp
US survey says shoppers want less automation, more human interaction with customer service
"The report revealed that, despite misconceptions of robots taking over, consumers still want human interaction while navigating digital assets. What’s more, they don’t expect, nor want technology to replace real people. It’s true consumers are open-minded about using technology like chatbots that save time and make life easier. But they still trust humans to help solve more complex problems and make experiences such as online shopping, filling a prescription or making a bank deposit — more enjoyable."
erp  latest  news  ai  artificial  intelligence  automation  brands  chatbots  customer  service  gartner  human  interaction  research  retail 
6 weeks ago by jonerp
Making sense of Microsoft's approach to AI
"Microsoft has a master plan for trying to get more customers to jump into the AI waters. Here's an attempt to explain how containers, accelerators and APIs all figure in."
artificial  intelligence 
9 weeks ago by jonerp
There is no one role for AI or data science: this is a team effort
"'How quote-to-cash works in in any ERP is not something that you can teach a data scientist in in two days.'"
artificial  intelligence 
september 2018 by jonerp
How AI & Machine Learning Are Redefining The War For Talent
"Of the five companies Gartner names as Cool Vendors in the field of Human Capital Management for Talent Acquisition, Eightfold is the only one achieving personalization at scale today. Attaining personalization at scale is essential if any growing business is going to succeed in attracting, acquiring and growing talent that can support their growth goals and strategies. Eightfold’s approach makes it possible to scale personalized responses to specific candidates in a company’s candidate community while defining the ideal candidate for each open position."
business  featured  posts  technology  software  trends  &  concepts  artificial  intelligence  human  capital  management  louis  columbus  machine  learning  talent  acquisition 
september 2018 by jonerp
The Alexa-Cortana integration: Why wasn't this bigger news?
"The long awaited integration between Alexa and Cortana came last week. And while many don't view Cortana as a major player in the voice assistant space, the potential is definitely there, even it it didn't fully materialize with the news."
artificial  intelligence 
august 2018 by jonerp
10 Ways To Improve Cloud ERP With AI And Machine Learning
"Cloud ERP platforms need to create and strengthen a self-learning knowledge system that orchestrates AI and machine learning from the shop floor to the top floor and across supplier networks. Having a cloud-based infrastructure that integrates core ERP Web Services, apps, and real-time monitoring to deliver a steady stream of data to AI and machine learning algorithms accelerates how quickly the entire system learns. The Cloud ERP platform integration roadmap needs to include APIs and Web Services to connect with the many suppliers and buyer systems outside the walls of a manufacturer while integrating with legacy ERP systems to aggregate and analyze the decades of data they have generated."
business  featured  posts  technology  software  ai  amazon  alexa  artificial  intelligence  cad  cloud  computing  erp  crm  enterprise  resource  planning 
august 2018 by jonerp
Plex Systems Accelerates Push Into IoT With DATTUS Acquisition
"Think about it. As consumers, we didn’t loudly voice our desire for AI or NLP. But that didn’t stop Apple from delivering Siri on an iPhone. Pretty soon Microsoft delivered Cortana on Windows 10; Google delivered Google Now; Amazon delivered Alexa and now Bixby is on your (newer) Samsung Galaxy. We see these digital technologies being absorbed into the manufacturing landscape in much the same way, as long as solution providers like Plex and DATTUS continue to innovate and push them into the mainstream."
erp  acquisition  ai  analytics  artificial  intelligence  big  data  cloud  connectivity  technologies  management  dattus  iiot  machine  learning 
august 2018 by jonerp
Microsoft advocates for government regulation of facial-recognition technology
"Microsoft is advocating that Congress become involved in regulating facial-recognition technology, on the heels of criticism of potentially negative impacts of its own work in that area."
artificial  intelligence 
july 2018 by jonerp
Chinese AI beats 15 doctors in tumor diagnosis competition
"As reported by Xinhua, the system defeated a team comprised of 15 of China’s top doctors by a margin of two to one. The AI, BioMind, was developed by the Artificial Intelligence Research Centre for Neurological Disorders at Beijing Tiantan Hospital, and is another example of the long line of the technology analyzing images."
artificial  intelligence  science  tech 
july 2018 by jonerp
AI Starts Taking White-Collar Jobs
"JD insists it will shift warehouse workers to other positions, and that their goal is simply more speed and reliability. Though there are expenses with the transition, JD Chief Technology Officer Chen Zhang told a group of reporters in Beijing that these investments will pay off in the long run. “Everything is about scale. When you invest in technology, you don’t worry about spending money. You worry whether you can get to scale. When scale comes, profit will come.”
analysis  technology  top  stories  artificial  intelligence 
june 2018 by jonerp
Five Reasons Why Machine Learning Needs To Make Resumes Obsolete
"The comparative analysis of high achievers’ characteristics with applicants takes seconds to complete, providing a list of prospects complete with profiles. Machine learning-derived profiles of potential hires meeting the high performers’ characteristics provided greater contextual intelligence than any resume ever could."
business  featured  posts  technology  software  applicant  tracking  systems  artificial  intelligence  byline=louis  columbus  louis  columbus'  blog  machine  learning  recruitment  résumé 
may 2018 by jonerp
Adobe CTO leads company’s broad AI bet
"It’s actually a classic software platform play, whether the service involves AI or not. Every cloud company from Box to Salesforce has been exposing their services for years, letting developers take advantage of their expertise so they can concentrate on their core knowledge. They don’t have to worry about building something like storage or security from scratch because they can grab those features from a platform that has built-in expertise and provides a way to easily incorporate it into applications.

The difference here is that it involves Adobe’s core functions, so it may be intelligent auto cropping and smart tagging in Adobe Experience Manager or AI-fueled visual stock search in Creative Cloud. These are features that are essential to the Adobe software experience, which the company is packaging as an API and delivering to developers to use in their own software."
artificial  intelligence  cloud  developer  enterprise  tc  adobe  sensei  apis 
may 2018 by jonerp
How has Google dodged data privacy issue? It's the ROI
"Google outlined its vision of an AI driven future this week at Google I/O and the data privacy discussion is just starting. Don't forget the return on investment for you sharing data."
artificial  intelligence 
may 2018 by jonerp
How To Close The Talent Gap With Machine Learning
"Many CEOs are also making greater diversity and inclusion their highest priority. Using advanced AI and machine learning techniques, a company founded by former Google and Facebook AI Scientists is showing potential in meeting these challenges. Founders Ashutosh Garg and Varun Kacholia have over 6000+ research citations and 80+ search and personalization patents. Together they founded Eightfold.ai as Varun says “to help companies find and match the right person to the right role at the right time and, for the first time, personalize the recommendations at scale.”
business  featured  posts  technology  software  artificial  intelligence  eightfold.ai  louis  columbus'  blog  machine  learning  recruiting  recruitment  talent  management 
april 2018 by jonerp
IoT devices could be next customer data frontier
"Regardless of the vendor, all of this is about understanding the customer better to provide a central data gathering system with the hope of giving people exactly what they want. We are no longer a generic mass of consumers. We are instead individuals with different needs, desires and requirements, and the best way to please us they say, is to understand us so well, that the brand can deliver the perfect experience at exactly the right moment."
artificial  intelligence  cloud  enterprise  tc  adobe  big  data  connected  cars  ibeacons  internet  of  things  marketing  sensors  smart  speakers 
april 2018 by jonerp
How Good Is Machine Learning at Understanding Text?
"As usual, having large datasets to train and test with is helping researchers improve the performance of reading comprehension models — but creating those data sets is slow and expensive, making it harder to use machine reading for topics where there isn’t a good test data set to learn from."
top  stories  artificial  intelligence 
april 2018 by jonerp
10 Ways Machine Learning Is Revolutionizing Manufacturing In 2018
"Improving semiconductor manufacturing yields up to 30%, reducing scrap rates, and optimizing fab operations are is achievable with machine learning. Attaining up to a 30% reduction in yield detraction in semiconductor manufacturing, reducing scrap rates based on machine learning-based root-cause analysis and reducing testing costs using AI optimization are the top three areas where machine learning will improve semiconductor manufacturing. McKinsey also found that AI-enhanced predictive maintenance of industrial equipment will generate a 10% reduction in annual maintenance costs, up to a 20% downtime reduction and 25% reduction in inspection costs. Source: Smartening up with Artificial Intelligence (AI) – What’s in it for Germany and its Industrial Sector? (52 pp., PDF, no opt-in) McKinsey & Company."
business  featured  posts  artificial  intelligence  cloud  computing  erp  digital  manufacturing  enterprise  software  factory  of  the  future  louis  columbus'  blog  machine  learning 
march 2018 by jonerp
Are enterprises really ready for AI?
"A quarter of companies have invested more than 25 percent of their 2018 budgets in AI, blockchain, voice, or facial-recognition tech. However, over half (53 percent) do not feel prepared to effectively use AI, blockchain, or facial-recognition tech."
artificial  intelligence 
march 2018 by jonerp
Machine Learning and Beyond: Algorithmic Detection in Security
"This article discusses the ways we can use algorithmic detection in all aspects of security. We define algorithmic detection as the ability to perceive threats, analyze them and contextualize them using algorithms that are either automata-theoretic or statistical."
contributed  top  stories  artificial  intelligence  security  sponsored 
march 2018 by jonerp
Roundup Of Machine Learning Forecasts And Market Estimates, 2018 - by @louiscolumbus
"One of the fastest growing areas of machine learning IP is the development of custom chipsets. Deloitte Global is predicting up to 800K machine learning chips will be in use across global data centers this year. Enterprises are increasing their research, investment, and piloting of machine learning programs in 2018. And while the methodologies all vary across the many sources of forecasts, market estimates, and projections, all reflect how machine learning is improving the acuity and insights of companies on how to grow faster and more profitably."
business  featured  posts  ai  analytics  and  big  data  artificial  intelligence  byline=louis  columbus  machine  learning  patents 
february 2018 by jonerp
Machine Learning’s Greatest Potential Is Driving Revenue In The Enterprise - by @louiscolumbus
"CIOs challenging the status quo of their organization’s analytics direction are more likely to rely on roadmaps for defining and selling their vision of machine learning’s revenue contributions. More than 70% of early adopter CIOs have developed a roadmap for future business process changes compared with just 33% of average CIOs."
business  featured  posts  technology  software  ai  artificial  intelligence  byline=louis  columbus  cio  machine  learning 
february 2018 by jonerp
How AI and Laser-Shooting Robots Can Boost Productivity in the Construction Industry
"According to the company, these relatively impressive improvements are made possible by their software, which is capable of differentiating between the complex set of interior components on any given construction site, ranging from plumbing, to electrical wiring and ventilation ductwork. All these items can be scanned three-dimensionally and mapped into Doxel’s cloud of data points, which are accurate up to 2 millimeters."
science  technology  top  stories  algorithms  artificial  intelligence  construction  deep  learning  doxel  lidar  robotics  robots 
february 2018 by jonerp
Data Scientist Is The Best Job In America According Glassdoor - by @louiscolumbus
"
Data Scientist has been named the best job in America for three years running, with a median base salary of $110,000 and 4,524 job openings.
DevOps Engineer is the second-best job in 2018, paying a median base salary of $105,000 and 3,369 job openings.
There are 29,187 Software Engineering jobs available today."
business  featured  posts  ai  artificial  intelligence  byline=louis  columbus  data  science  jobs  devops  engineer  glassdoor  50  best  in  america  machine  learning 
february 2018 by jonerp
Digital Trends 2018
"Digital transformation, then, is driving business change and technology innovation. Over the past few years, several technology trends have emerged or accelerated as a result of the modernization needs of businesses. For 2018, G2 Crowd research is tracking a list of these tech trends, and we’ve identified four broad technology areas that serve as the anchors or framework for ongoing analysis of technology trends, and their impact on modernizing businesses.

These technology anchors are:

AI
IoT
Cybersecurity
Digital Platforms"
featured  posts  technology  software  trends  &  concepts  2018  ai  analysis  artificial  intelligence  business  model  models  modernization  change 
february 2018 by jonerp
5 Essential Pieces of the Deep Learning Puzzle
"The amount of applications and Internet of Things (IoT) devices in the enterprise means there’s no shortage of data. But many datasets can’t be used for deep learning because they’re too small, not structured, or untrustworthy. If machine learning models are trained with incomplete, unstructured, or inaccurate data, they can’t arrive at the best outcomes at best, and can even actively hurt the underlying application they are being applied to."
analysis  contributed  technology  top  stories  amazon  sagemaker  artificial  intelligence  cafee2  data  deep  learning  frameworks  google  hypertune  grid  search 
february 2018 by jonerp
Google AI Achieves “Alien” Superhuman Mastery of Chess and Go in Mere Hours
"And it seems that Google’s subsidiary DeepMind has once again gotten one step closer to this goal with AlphaZero, their latest AI development. Their recently published pre-print research outlined how AlphaZero succeeded in handily beating one of the world’s top chess engines — after teaching itself and mastering the game in four hours and reaching a “superhuman” level of play in a mere 24 hours in not only chess but in two other different types of board games."
science  technology  top  stories  alphazero  artificial  general  intelligence  board  games  deep  neural  networks  deepmind  elmo  game  engines  gaming 
january 2018 by jonerp
10 Charts That Will Change Your Perspective On Artificial Intelligence’s Growth - by @louiscolumbus
"Machine Learning, Deep Learning and Natural Language Processing (NLP) are the three most in-demand skills on Monster.com. Just two years ago NLP had been predicted to be the most in-demand skill for application developers creating new AI apps. In addition to skills creating AI apps, machine learning techniques, Python, Java, C++, experience with open source development environments, Spark, MATLAB, and Hadoop are the most in-demand skills. Based on an analysis of Monster.com entries as of today, the median salary is $127,000 in the U.S. for Data Scientists, Senior Data Scientists, Artificial Intelligence Consultants and Machine Learning Managers."
business  technology  software  ai  startups  artificial  intelligence  byline=louis  columbus  louis  machine  learning  stanford  one  hundred  year  study  on  (ai100)  university 
january 2018 by jonerp
Microsoft makes Azure Bot Service generally available for developers - by @ron_miller
"Microsoft introduced the Azure Bot Framework more than two years ago and companies have been building chatbots for a variety of scenarios ever since. Today, the company made generally available the Microsoft Azure Bot Service and Microsoft Cognitive Language Understanding service (known as LUIS)."
artificial  intelligence  cloud  developer  enterprise  tc  microsoft  azure  chatbots  conversational  ai 
december 2017 by jonerp
Mathwashing: How Algorithms Can Hide Gender and Racial Biases
"It seems that machines can and do indeed assimilate human prejudices, whether they are based on race, gender, age or aesthetics. Experts are now finding more evidence that supports this phenomenon of algorithmic bias. As sets of instructions that help machines to learn, reason, recognize patterns and perform tasks on their own, algorithms increasingly pervade our lives. And in a world where algorithms already underlie many of those big decisions that can change lives forever, researchers are finding that many of these algorithms aren’t as objective as we assume them to be."
culture  research  science  technology  top  stories  algorithmic  auditing  bias  algorithms  artificial  intelligence  bias-correction  data  development 
december 2017 by jonerp
Could an AI Generate the First Line of a Novel?
"And of course, the other half of the fun is sharing the ridiculous results on her blog. For example, given a dataset of 37,265 fish names, the neural network tried its hardest to generate its own. And last week Shane trained it on the first lines from 224 Disney songs. But this month Shane turned her attention to one of the most human endeavors of all: writing a novel. “When you’re faced with a blank page, sometimes it’s just hard to get started,” Shane joked on her web page. “I wanted to see if I could train a computer program to help.”
culture  research  technology  top  stories  artificial  intelligence  char-rnn  national  novel  writing  month  novel-generating  neural  networks  tech  the  arts  and  science  torch 
december 2017 by jonerp
Artificial Intelligence and the Future of Jobs - by @tomraftery
"The fact of the matter is that technology in general, and AI in particular will contribute enormously to a hugely changing labour landscape. I mentioned at the start of this post that my role in SAP is IoT Evangelist – this is a role I fully expect to no longer exist in 5 years time, because by then everything will be connected, and so the term Internet of Things will be redundant, in the same way terms like “Internet connected phone”, or “interactive website” are redundant today."
featured  posts  trends  &  concepts  ai  artificial  intelligence  future  of  jobs  iiot  internet  things  (iot)  iot  robots 
december 2017 by jonerp
How Human Workers Can Control Robots from Their Homes — with Virtual Reality
"It’s not clear what will happen, but it’s also possible that there’s a middle way. Rather than outright replacement, humans could be incorporated into the equation, working alongside collaborative robots or operating robots through virtual reality."
research  technology  csail  homunculus  model  massachusetts  institute  of  mit computer  science  and  artificial  intelligence  laboratory  oculus  rift  rethink  robotics  robots  telerobotics  virtual  reality 
november 2017 by jonerp
Navigating the Supply Chain Management Fault Line - by @lcecere
"Fire the narcissistic supply chain leaders that believe that they have the answers. We don’t have the answers. We have historical practices, not best practices. Stalled progress on metrics: 90% of companies find themselves stuck on key supply chain metrics (cost, inventory, growth, ROIC)."
big  data  supply  chains  digital  chain  3pls  artificial  intelligence  business  process  outsourcing  cognitive  computing  innovation 
november 2017 by jonerp
Digital Analytics + Marketing Career Advice: Your Now, Next, Long Plan
If you hire strong analytical thinkers, of any background, you are hiring people who will be adaptable, who'll grow and flex with your organization and needs. They'll have the mental agility to think smart and move fast. They'll ask child-like simple questions that'll lay bare your complex strategic challenges. Hire them. And, if they don't know tool x… You can teach them which buttons to press.
artificial  intelligence  digital  analytics  marketing  leadership  careers 
october 2017 by jonerp
Briefing Notes: Insight Engines Takes AI To Enterprise IT - by @krishnan
"Insight Engines, the San Francisco based startup focused on making machine data actionable, announced the general availability of Cyber Security Investigator and, also, showcased how Amazon Alexa can be tapped to query from Cyber Security Investigator. In this note, we will do an analysis on this announcement."
briefing  notes  ai  artificial  intelligence  automation  cio  insights  cloud  computing  insight  engines  intelligent  platforms  it  machine  learning  monitoring 
september 2017 by jonerp
How Artificial Intelligence Is Revolutionizing Business In 2017
"The research found significant gaps between companies who have already adopted and understand Artificial Intelligence (AI) and those lagging. AI early adopters invest heavily in analytics expertise and ensuring the quality of algorithms and data can scale across their enterprise-wide information and knowledge needs. The leading companies who excel at using AI to plan new businesses and streamline existing processes all have solid senior management support for each AI initiative."
featured  posts  technology  software  artificial  intelligence  boston  consulting  group  (bcg)  cloud  computing  louis  columbus'  blog  machine  learning  mit  sloan  management  review 
september 2017 by jonerp
How Should Bots Respond to Frustration?
"Sherry Turkle, who focuses on human-technology interactions as the director of Massachusetts Institute of Technology’s Initiative on Technology and Self, worries this may lead to a “coarsening of how people treat each other.” She tells CNN that “We treat machines as though they were people.” So where this may lead is “We are drawn into treating people as though they were machines.”
analysis  culture  technology  top  stories  alexa  american  academy  of  pediatrics  artificial  intelligence  chatbots  cortana  current  development  ibm 
september 2017 by jonerp
Design Thinking: Future-proof Yourself from AI
"While there is a high probability that machine learning and artificial intelligence will play an important role in whatever job you hold in the future, there is one way to “future-proof” your career…embrace the power of design thinking."
big  data  ai  artificial  intelligence  design  thinking  machine  learning 
september 2017 by jonerp
Why Artificial Intelligence Needs Neuroscience for Inspiration
"Yet, despite this ongoing interdisciplinary sharing, Hassabis and his colleagues assert that the rift of intelligence between human and machine still remains quite large. This gap is due to our incomplete knowledge of biological brains, the underlying mechanisms of cognition and of the nature of consciousness itself. Similarly, this disparity is also due to the fact that the complex computations that drive AI can be an inscrutable “black box” — it works, but we don’t really know why."
science  technology  top  stories  artificial  general  intelligence  deepmind  demis  hassabis  neuroscience 
august 2017 by jonerp
Enterprise Artificial Intelligence Is about the Big Picture and the Little Things
"The first gathering of London’s new AI and Machine Learning in Enterprise Applications Meetup wasn’t too fussed with this war of tech giants. Microsoft’s Global Strategist Nigel Willson came to reveal the signs of oncoming AI, and then KPMG’s Chief Technology Officer Priti Padhy was all about how to apply it to the enterprise space. Today we’re going to cover what they see as currently available to us and how enterprises are going to take advantage of it. It’s a lot more practical and a lot less sci-fi than you think."
analysis  technology  top  stories  ai  and  machine  learning  in  enterprise  applications  meetup  artificial  intelligence  cognitive  computing  kpmg  microsoft  pix  video  indexer 
august 2017 by jonerp
Retails last resort? Extreme Personalization. - by @sameerpatel
"
91% of us unsubscribe from emails (Salesforce)
44% of direct mail is never opened (NewsCred)
60% of us opt out of mobile push notifications (Kahuna)
Over $280 billion is abandoned in digital shopping carts, every year (Google)

Round 3, in the form of Extreme Personalization, is now upon us..."
artificial  intelligence  ecommerce  and  retail  kahuna  machine  learning  management  ai 
august 2017 by jonerp
Artificial intelligence is not as smart as you (or Elon Musk) think - by @ron_miller
"Yet these victories, as mind-blowing as they seemed to be, were more about training algorithms and using brute-force computational strength than any real intelligence. Former MIT robotics professor Rodney Brooks, who was one of the founders of iRobot and later Rethink Robotics, reminded us at the TechCrunch Robotics Session at MIT last week that training an algorithm to play a difficult strategy game isn’t intelligence, at least as we think about it with humans."
artificial  intelligence  robotics  tc  research  fear  of  rodney  brooks  gill  pratt  irobot  elon  musk  rethink  deepmind  alphago 
july 2017 by jonerp
Elon Musk: Mark Zuckerberg’s understanding of AI is “limited”
"There aren't many people in the world who can justifiably call Mark Zuckerberg a dumb-ass, but Elon Musk is probably one of them.

Early on Tuesday morning, in the latest salvo of a tussle between the two tech billionaires over the dangers of advanced artificial intelligence, Musk said that Zuckerberg's "understanding of the subject is limited."
gear  &  gadgets  ministry  of  innovation  technology  lab  ai  artificial  intelligence  elon  musk  facebook  mark  zuckerberg  singularity  spacex 
july 2017 by jonerp
The Hidden Biases that Can Lurk in Artificial Intelligence Systems
"Artificial intelligence and “automated decision-making” systems are being implemented in many crucial real-world settings, cutting humans out of the decisions that these systems are making. But how sure are we that the decisions they arrive at are fundamentally correct?

Researchers are finding a startling number cases of human bias that have crept into AI models and decision-making algorithms, which in turn can unwittingly lead to discriminatory practices on the part of companies and governments deploying these systems."
analysis  culture  technology  top  stories  ai  now  american  civil  liberties  union  artificial  intelligence  development  diversity  fivethirtyeight  google  microsoft 
july 2017 by jonerp
Salesforce’s Einstein Mixes Automated AI with Business-Specific Data Models
"And if you only have ten leads a day, just call them all; “AI is not a ‘one glove fits all’ tool and not every problem needs AI,” Gordon said.

To help customers trust these automated machine learning systems, Salesforce shows why a particular lead has been scored high or low. “We explain why we believe a lead will work; we explain which models are influencing the score and what in the data is signaling that the opportunity will convert,” Gordon said."
analysis  technology  top  stories  apache  predictionio  artificial  intelligence  convolutional  neural  network  data  heroku  enterprise  image  recognition  machine  learning  object  detection 
july 2017 by jonerp
AI Programming: So Much Uncertainty
"Much work, and many tools, are still needed to integrate artificial intelligence into the software engineering workflow, noted Peter Norvig, Google’s director of research, speaking at the O’Reilly Artificial Intelligence conference in New York last week.

Fundamentally, AI software is inherently different from other forms of widely used software, said Norvig, who is also a co-author of perhaps the most popular book of programming instruction for the field, Artificial Intelligence: A Modern Approach."
events  technology  top  stories  architecture  artificial  intelligence  autonomous  vehicles  data  development  google  image  recognition  machine  learning  translation 
july 2017 by jonerp
Meet the Neural Network AI You Can Train Easily — Like a Dog
"To counter this assumption, Amsterdam-based designer Bjørn Karmann created The Objectifier, an artificially intelligent interface that can be easily trained by anyone to perform simple tasks, such as turning lights on and off with a gesture. To do this, it’s equipped with a camera that is enhanced with computer vision technology, and a simple neural net."
science  technology  top  stories  artificial  intelligence  computer  vision  convnetclassifier  do  it  yourself  google  i  o  experiments  challenge  internet  of  things  machine  learning  mobile  application  development 
june 2017 by jonerp
AI Robot Investors Are Taking Over Wall Street
"Wall Street money managers are now being replaced by computers.

Last week Bloomberg spoke to 45-year-old Rishi Ganti, founding partner of Orthogon Partners, who bluntly told money managers that “Algorithms are coming for your job … Algorithms are already reading, processing, and trading the news even before the photons have hit your retina.”
culture  top  stories  artificial  intelligence  barclays  blackrock  fintech  massachusetts  institute  of  technology  orthogon  partners  webreduce  work 
june 2017 by jonerp
How Humans React When AIs Replace Them
"The Times isn’t the only publication that’s looking at workers training their AI replacements. A recent article in Wired described the throng of humans who are reviewing offensive videos on YouTube and AdSense advertisements. And at one point their reporter describes the business case for “churning through ad raters” — since it provides multiple perspectives for the AI that will eventually replace them. “Giving ‘the machine’ more eyes to see is going to better results,” said the CEO of AI startup Nara Logics."
culture  top  stories  artificial  intelligence  nara  logics  tech 
may 2017 by jonerp
A Closer Look at the ‘Learning’ Aspect of Machine Learning
"Each algorithm is designed to either predict or classify data. For example, logistic regression is used to find out a boolean value that results in a true or false. linear regression, as we have seen, is used in scenarios where the prediction is a number. Other algorithms like Support Vector Machine and K Nearest Neighbor are used for classification. Irrespective of the algorithm, the goal is to use existing data to find accurate parameters to evolve the final model."
technology  top  stories  tutorials  artificial  intelligence  coefficient  of  determination  cost  functions  development  linear  regression  machine  learning  is  not  magic  python  supervised 
april 2017 by jonerp
Microsoft Puts AI Where the Data Is
While the machine learning and artificial intelligence landscape is far more complicated than the database market, if Microsoft can turn SQL Server into a platform where enterprises can work with machine learning and AI from the comfort of their own database systems, where they have familiar controls and development tools, then AI and ML may truly find a home in tomorrow’s enterprise.
technology  top  stories  artificial  intelligence  big  data  deep  learning  documentdb  hadoop  machine  microsoft  r  server 
april 2017 by jonerp
Atlassian Futurist Sees Teamwork, not Chatbots, Defining the Future of Work
"Not to worry, said Dominic Price, who is the head of research and development and resident “work futurist” at Atlassian. During a recent phone interview he noted that in the last 144 years, technology created more jobs than it took away. True, there has been mass displacement and the actual roles that remain are very different, but overall more jobs have been created. He doesn’t think artificial intelligence, or intelligence assistance, or machine learning, or whatever term you want to use will be any different."
culture  interviews  top  stories  artificial  intelligence  atlassian  education  tns  management  training 
april 2017 by jonerp
Research Summary: Artificial Intelligence Delivers Mass Personalization In Commerce - by @rwang0
"Lack of relevance leads to lack of engagement. Contextual relevancy can be correlated to an immediate effect on the top line. Constellation estimates that lack of content relevancy often results in 83 percent lower response rates in the average marketing campaign. Conversely, personalized contextual relevancy by time of day, geo-spatial location, weather, and identity improves commerce conversions between two to three times over normal non-personalized campaigns."
2017  ai  anticipatory  analytics  apps  strategy  artificial  intelligence  augmented  humanity  b2b  e-commerce  b2c  big  ideas  bigdata  business  transformation  cadence 
april 2017 by jonerp
Can Artificial Intelligence Fix the Monopoly Board Game?
"It turns out that poor Mediterranean Avenue — exactly one square past “Go” — is the square least likely to be landed on, so its return on investment drops quite a bit. Multiplying the two numbers together yields the “actual” return on investment — that is, their probability-adjusted return — and this shows Mediterranean’s returns are 49 percent below average"
culture  top  stories  artificial  intelligence  board  games  do  it  yourself  ludible  monopoly  tech 
april 2017 by jonerp
Google’s Enterprise Ambitions – Google Cloud Next ’17 Report - by @krishnan
"I have long been advocating that Google’s path to relevance in the cloud is through Machine Learning and AI. I heard the same from various enterprise customers in this conference. One of Google’s strengths is in big data and, with the announcements related to Machine Learning, they are positioning themselves as the go-to cloud for ML workloads. Google’s machine learning engine and Google Vision API is now generally available."
conference  report  artificial  intelligence  aws  lambda  azure  enterprise  gae  gcp  google  cloud  next  17  ibm 
march 2017 by jonerp
Event Report: #GoogleNext17 On Path To Enterprise Ready - by @rwang0
"Just two years ago, analysis of Google’s enterprise efforts showed very little enterprise credibility. The sales team barely understood enterprise, the products were rife with transient talent, and customers had no input into the product direction. With the recent house cleaning in the management and product teams, a commitment to enterprise by Eric Schimdt, and a host of new enterprise class alliances and partnerships, Google is rapidly building a worthwhile option for clients across the five entry points to cloud maturity."
2017  apps  strategy  artificial  intelligence  big  data  business  transformation  cdo  chief  collaboration  officer  digital  financial  hr  information 
march 2017 by jonerp
Top Tech Trends for 2017 - by @mfauscette
"Intelligent Applications: Embedding AI inside applications can enable many capabilities, but generally they fall into 2 broad categories – 1. The ability to automate tasks to relieve workers of more mundane tasks, freeing up more time for higher value activities and 2. Take large datasets and find the relevant data in some defined context, supporting business decisions."
featured  posts  technology  software  trends  &  concepts  ai  analysis  analytics  apps  ar  artificial  intelligence  big  data  business  models 
february 2017 by jonerp
Know When to Fold ‘Em: CMU AI Program Beats Humans at No Limits Texas Hold ‘Em Poker
"Odds makers favored the human players 4- or 5- to 1 over AI Libratus. But they were wrong. Tuomas Sandholm, professor of computer science and graduate student Ph.D. student Noam Brown of Carnegie Mellon University (CMU), the brains behind Libratus hovered around the casino, watching their brainchild steadily gain ground."
analysis  news  science  technology  top  stories  artificial  intelligence  carnegie  mellon  university  cepheus  charles  czech  technical  in  prague  deepstack  gambling 
february 2017 by jonerp
Artificial Intelligence: Legal, ethical, and policy issues - by @mkrigsman
"We’ve all read the Oxford Martin study, and the Bank of America [Merrill Lynch] study that says that 47% and I think 52% of jobs in America currently done will go to automation in the next 15 or 20 years. But we have to think about the complexity of job loss because we don’t know what the future jobs are going to be."
featured  posts  trends  &  concepts  ai  artificial  intelligence 
february 2017 by jonerp
Review: Automation, Joblessness and the Vacuum of Tech Ethics - by @cote
"Increasingly, what people are finding is that it’s hard to find the types of jobs they know how to do, that pay what they’re expecting, and that aligns with their identity. The last two problems are especially vexing since so many service sector jobs are filling up labor growth curves. This space is full of social quagmires that, as Avent points out many times, we’re ill prepared as a society to easily solve."
analysis  technology  top  stories  apple  artificial  intelligence  automation  book  review  from  the  stacks  robotics 
january 2017 by jonerp
MIT’s New AI Data Extraction System Teaches Itself by Surfing the Web
"The new system could be a boon to accelerating research tasks that may have required more tedious, manual effort from humans previously. Not only would a system like this save time, it could also save lives: the researchers foresee that such a system could be used by healthcare providers, as a tool for aggregating patient histories under a more unified structure, which would improve the quality of care that a patient receives."
science  technology  top  stories  artificial  general  intelligence  association  for  computational  linguistics  conference  on  empirical  methods  natural  language  processing  deep  q-network  machine  learning  massachusetts  institute  of  mit  reinforcement 
january 2017 by jonerp
Why Macy’s Struggles Expose a Deeper Crisis in B2C Marketing Automation - by @sameerpatel
"Clearly, maintaining a fragmented view of the customer across a growing set of channels will not suffice. Nor will it be OK to not be able to engage consumers at exactly the right touch point, at the right time. In 2017, marketers will need to look for true cross-channel solutions that can provide a single profile of the consumer and can respect the pace at which the consumer wants to traverse the purchase journey, engaging him on just the right channel with the right message and at the right time."
artificial  intelligence  digital  transformation  b2c  ecommerce  marketing  retail 
january 2017 by jonerp
Scientists’ Artificially Intelligent Nanoarray Can Diagnose Disease Using Your Breath
"The science behind the practice is pretty straightforward: A sample of exhaled human breath contains not only the primary constituents of oxygen, nitrogen, carbon dioxide and water vapor, but also varying trace levels of volatile organic compounds, which are by-products of metabolic processes of the body."
science  top  stories  algorithms  artificial  intelligence  diagnostics  gas  chromatography  machine  learning  mass  spectrometry  medical  computing  medicine  nanoarray  nanotechnology 
january 2017 by jonerp
Artificial intelligence finds its way into business through sales - by @ron_miller
"It’s about using the power of that platform to be a better salesperson, and giving them more time to spend working with customers and closing sales. “For a salesperson to predict where to spend their time or take next best action — they need the right data at the right time. They have to take data from every data source and they have to have a cognitive platform in place to evaluate that data to make decisions,” she explained."
artificial  intelligence  tc  sales  crm  salesforce 
december 2016 by jonerp
Why A Bi-Modal Approach to Digital Transformation Is Just Stupid - by @rwang0
"Like fake news, the over hyped, bi-modal approach to IT and digital transformation is a flawed fallacy perpetuated by ivory tower, non-pragmatic legacy research firms. Lessons learned from successful digital transformation projects emphasize an organizational design comprised of six key virtual or physical teams."
2016  adobe  ai  amazon  web  services  amazon.com  anticipatory  analytics  apple  apps  strategy  artificial  intelligence  augmented  humanity  bi-modal  it 
december 2016 by jonerp
Not the Jetsons: 10 Use Cases for Cognitive Learning in Supply Chain - by @lcecere
"Today companies try to get very precise on imprecise data. Rows and columns define forecasting. Companies lose visibility on the patterns and demand flows. Cognitive learning solutions provide systems of insights that can combine profile pattern recognition along with learning on unstructured data. Examples include the number of google searches on an illness or symptoms, which is a predictor of the spread of an illness and subsequent prescription sales. Social sentiment on twitter and Facebook combined with point-of-sale data drives insights to understand regional sales in days. Today it takes weeks."
big  data  supply  chains  customer-centric  demand  artificial  intelligence  cognitive  learning  jetsons  machine  ontology  rules 
december 2016 by jonerp
IBM Watson to Bring ‘Cognitive Assistant’ Capabilities to Slack
"After the deal with Microsoft had fallen through, Slack CEO and co-founder, Stewart Butterfield contacted David Kenny, General Manager, IBM Watson. Kenny, who had been his position for just 10 days, jumped at the chance to partner with Butterfield. The resultant partnership, where Slack chatbots will be fueled by Watson’s machine learning for enterprise-level communication, was announced at the World of Watson in Las Vegas."
events  technology  top  stories  artificial  intelligence  chatbot  cognitive  assistant  ibm  slack  world  of  watson  2016 
december 2016 by jonerp
Monday’s Musings: Secrets Behind Building Any AI Driven Smart Service - by @rwang0
"Anticipatory analytics, catalysts, and choices interact to power mass personalization at scale. Anticipatory analytics allow customers to “skate where the puck will be”. Catalysts provide offers or triggers for response. Choices allow customers to make their own decisions. Each individual or machine will have their own experience in contexts depending on identity, historical preferences, and needs at the time."
2016  adobe  ai  amazon  web  services  amazon.com  anticipatory  analytics  apple  apps  strategy  artificial  intelligence  augmented  humanity  big  data 
november 2016 by jonerp
Sisense announces bots for Slack, Skype, Facebook Messenger and Telegram - by @ron_miller
"What bots do is provide a way to use natural language to interact with software, and when done well, they can surface the value often hidden inside a software package, directly to non-technical end users."
enterprise  tc  sisense  business  intelligence  bots  artificial  facebook  messenger  slack  telegram  skype 
november 2016 by jonerp
Google’s DeepMind AI Now Capable of ‘Deep Neural Reasoning’
"But DeepMind, Google’s artificial intelligence research lab, has now gone yet another step further. Having created the AlphaGo software that was able to master the complex board game known as Go, DeepMind has now made what they are calling a “memory-augmented neural network” that uses a kind of external “working memory” that helps it to learn how to complete complex tasks on its own, using human-inspired memory and reasoning, instead of being programmed to do so."
science  technology  top  stories  alphago  artificial  general  intelligence  deep  neural  network  differentiable  computer  google  deepmind  networks 
november 2016 by jonerp
Role Of Services In Artifical Intelligence - by @vijayasankarv
"A lot of people think – and I get asked almost every day – that systems like IBM Watson are big monoliths like traditional ERP systems. While the start was certainly that way , AI today is largely a set of APIs that application developers can mix and match for their unique needs. These are quite well defined APIs and even someone like me who is not a full time developer can figure out how to use it pretty quickly."
uncategorized  ai  artificial  intelligence  cognitive  digital  transformation 
november 2016 by jonerp
60 days in, 6 things I learned about Marketing Automation - by @sameerpatel
"However, the consumer’s attention is far more perishable then your inventory. As consumers, we are becoming increasingly comfortable with sharing our digital breadcrumbs in exchange for a personalized experience. But it cuts both ways. The willingness to expose more of our preferences has also made us extremely intolerant about receiving offers from brands that are untimely or irrelevant."
artificial  intelligence  digital  transformation  kahuna  machine  learning  management  speaking 
october 2016 by jonerp
HCM Fertile Ground for Data Science - by @fscavo
"Admittedly, many of these questions raise the specter of “Big Brother,” and employees may push back if they begin to feel as if they are being profiled. But with the stakes so high, can any business leader afford to not consider tools that, properly applied, could mitigate significant risks to the business?

In private conversations, some HCM providers (not necessarily the six highlighted earlier) indicate that they are thinking about how they can address these types of issues. They may not be talking about them publicly, but new applications of data science for HCM may be coming soon."
business  process  improvement  hcm  software  selection  adp  analytics  anaplan  artificial  intelligence  big  data  science  entelo  hr  hrtech 
october 2016 by jonerp
What Every Developer Should Know about Machine Learning
"For instance, how is it possible for a smartphone camera to automatically detect a face in a picture? The answer to this is also machine learning. An intelligent machine learning software application works in sync with the phone camera that allows to detect and draws boxes around the faces. This intelligence is possible when a machine learning algorithm is trained to identify faces from other objects and gives it the ability to perform decisive actions like humans."
research  technology  top  stories  algorithms  artificial  intelligence  autopilot  big  data  clustering  face  detection  google  gpu  ibm 
october 2016 by jonerp
First Take - Microsoft Ignite - AI, Adobe and FPGA [From the Fences] - by @holgermu
"On the concern side Microsoft needs to stretch the rubber between where it needs to be vis a vis the competition (there most notably AWS and Google) and at the same time where its customers are. There is a lot for customers to digest, understand and bring back to their executive teams for the adoption conversation. Making the case to a CIO’s peers was something that Microsoft has room to improve on, and at the same time needs to make sure their customer base does not get overwhelmed. Sometimes less is more. But a good problem to have."
ai  artificial  intelligence  azure  constellation  research  cortana  holger  mueller  ingnite  machine  learning  microsoft  office  strategic  advisor 
september 2016 by jonerp
News Analysis: @Adobe @Microsoft Partner Up For Marketing Cloud, Azure and #AI #MSIgnite - by @rwang0
"While Adobe currently uses multiple providers and data centers for its cloud operations, the move to Microsoft Azure will provide a global, Tier-1 environment for work loads as well as security. More importantly, Adobe gains another tool for machine learning. However, access to SQL Server remains questionable as performance issues for SQL Server on Azure remain for heavy transactional apps."
2016  adobe  marketing  club  alliances  apps  strategy  artificial  intelligence  chief  data  officer  digital  executive  information  revenue 
september 2016 by jonerp
Intelligent Applications - by @mfauscette
"Applying AI to existing types of applications has a great deal to offer. An AI based “agent” could manage tasks like scheduling meetings for example. I’ve participated in a beta of an agent like this from a company called x.ai that very effectively functions as a personal assistant to help manage your schedule. Managing calendars, meetings, email (prioritizing and maybe even providing simple responses to some types of email), many simple tasks could be managed with an AI agent."
featured  posts  technology  software  ai  analysis  analytics  applications  artificial  intelligence  automation  cloud  cognitive  computing  data 
september 2016 by jonerp
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