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Mind-Reading, Self-Replicating: A Look Back at the Year’s Best AI Stories
"Nothing makes us potentially more human than the ability to learn from our mistakes. One might find something similar in machines in what’s called reinforcement learning, but as researchers over at OpenAI point out, designing the reward systems behind reinforcement learning models can become quite complicated, and may actually discourage machines from exploring possibilities beyond the tasked goal. Instead, this team proposes an open-source alternative they call Hindsight Experience Replay (HER)."
machine  learning  science 
19 days ago by jonerp
Humans vs. Algorithms: A Look Back at 2018
"Yet the march of technology is unmistakable, and sometimes a little ominous. China deployed facial recognition technology at checkpoints around the country. But Taylor Swift used a similar technology to spot stalkers at her concerts. And the same technique is also being used by historians to identify people in Civil War photos. It’s even being used to track and manage populations of animals — sometimes, endangered species — leading to what New York magazine described as “a growing cornucopia of animal faces loaded into databases.”
culture  machine  learning 
22 days ago by jonerp
The Keys to the Future of AI Democratization
"As more companies try to democratize AI on their own, they’re discovering it’s not the easiest thing to do. But companies are eager to speed up the process. In fact, according to a survey, 81 percent of IT leaders are currently investing in or plan to invest in AI, as CIOs have mandated that AI needs to be integrated into their entire technology stack.

But before businesses can get to an AI proof of concept or invest in operational AI applications, they need to have a data quality and governance strategy in place."
machine  learning  contributed 
4 weeks ago by jonerp
DeepMind’s New Milestones on the Road to Artificial General Intelligence
"its ultimate goal seems to be Artificial General Intelligence, or “strong AI”— the ability to perform as well as a human at a wide variety of tasks. “We’re on a scientific mission to push the boundaries of AI, developing programs that can learn to solve any complex problem without needing to be taught how."
machine  learning 
5 weeks ago by jonerp
Event Report - AWS reinvent 2018 - Push, push - AI and hardware
"On the concern side, the AWS portfolio is broader and deeper than ever before. AWS keeps staying with the Chinese menu philosophy, and it means massive choice… but staying with the analogy, when a Chinese restaurant adds a full menu every year, even the most loyal customers will have a hard time to keep an overview of the menu – and manage to repeat-order the same dishes (aka products) at the next visit (aka implementation project)"
ai  aws  bi  cloud  constellation  research  google  holger  mueller  iaas  machine  learning  nextgen  compute  platform  paas  tensorflow 
5 weeks 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
Event Report - AWS reInvent 2017 - AWS grows and grows...
"One of the emerging concerns is around Machine Learning. Expectations that AWS may announces its own neural network and compete with Google’s TensorFlow seem unlikely to happen at this point. Who would have thought that AWS would enter multiple partnerships with Seattle neighbor Microsoft on Machine Learning? The risks for AWS are tangible, if any other IaaS vendor can show faster, cheaper and better Machine Learning performance, it will create a magnetic effect on data. And with data goes load, not to mention that Machine Learning itself creates a lot of load. And load is the mother milk of IaaS vendors success."
ai  alexa  aws  cloud  constellation  research  database  holger  mueller  iaas  machine  learning  nextgen  apps  paas  reinvent 
8 weeks ago by jonerp
Event Report - Ceridian Insights 2018 - Ceridian is on a roll
"On the concern side, Ceridian needs to push the envelope in the direction of Machine Learning / AI in general and voice as the new UI more. Last year at the user conference the vendor showed the most impressive voice demos of all HCM vendors in 2017 – a worker talking to Alexa (?) for an understanding of their shift situation and executing a shift swap. No demo this year, the vendor citing keynote time reasons… Behind an effective Machine Learning / AI strategy is the move to public cloud, to be able to leverage cheaper compute, spare capacity, low cost storage and overall compute elasticity. And Ceridian says the Dayforce suite runs on public cloud IaaS (I think Azure) but needs to move there for good. When the whole industry is moving to IaaS, it’s time for all vendors to move there to level the field."
ai  ceridian  constellation  research  future  of  work  holger  mueller  machine  learning  nextgen  hcm  payroll  succession  management  talent  workforce 
8 weeks ago by jonerp
Event Report - Salesforce Dreamforce 2018 - AI, Apple & Customer 360 - but where is the CRM thought leadership?
"It was the usual mega event for Salesforce, it’s partners and its users. Attendees were optimistic and looking forward on innovation to come in 2019. Good to see the shift towards more neural network-based AI, which at the moment is clearly the AI technology of choice. Good to keep Einstein’s voice efforts cross platform. But details were not shared – where does Salesforce plan to build all these models, where does the data have to be, etc. Good to see what MuleSoft is ultimately about, pulling off Customer 360 – if Salesforce managed to implement this architecture (and get customer to pay for it) – it may justify the princely cost of MuleSoft. To be fair – that is little of concern for Salesforce users, who they want to see value coming form their vendor overall, across the product suite."
ai  apple  cloud  constellation  research  crm  dreamforce  google  holger  mueller  learning  paas  platform  salesforce 
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
Google Needs To Make Machine Learning Their Growth Fuel
"Google needs new AI- and machine learning-driven businesses that have lower Total Acquisition Costs (TAC) to offset the rising acquisition costs of their ad and search businesses. CB Insights found Google is experiencing rising TAC in their core ad and search businesses. With the strategic shift to mobile, Google will see TAC escalate even further. Their greatest potential for growth is infusing greater contextual intelligence and knowledge across the entire series of companies that comprise Alphabet, shown in the graphic below."
business  featured  posts  technology  software  trends  &  concepts  cb  insights  google  ai  machine  learning  louis  columbus'  blog  patents 
september 2018 by jonerp
Add It Up: Data Scientists, Not Developers, Lead Machine Learning Efforts
"Developers are not the kingmakers of the fastest growing area of technology — machine learning (ML) and artificial intelligence (AI). Although TensorFlow, Sckit-Learn and Spark MLLib are popular on GitHub, they are at their core libraries used by data scientists to build models that enable machine learning and types of artificial intelligence functionality."
analysis  research  top  stories  add  it  up  machine  learning 
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
Three Ways Machine Learning Is Revolutionizing Zero Trust Security
"Zero Trust Security provides digital businesses with the security strategy they need to keep growing by scaling across each new perimeter and endpoint created as a result of growth. ZTS in the context of Next-Gen Access is built on four main pillars: (1) verify the user, (2) validate their device, (3) limit access and privilege, and (4) learn and adapt. The fourth pillar heavily relies on machine learning to discover risky user behavior and apply for conditional access without impacting user experience by looking for contextual and behavior patterns in access data."
business  featured  posts  technology  software  centrify  enterprise  security  louis  columbus  machine  learning  next-gen  access  zero  trust  zts 
may 2018 by jonerp
Artificial Intelligence: It Takes a Human Touch
"“Evidence suggests that it is much harder to revert negative effects of predictive models that are already deployed in a community than to prevent undesirable effects during the design and development of the technology,” it states, pointing to the need to address these challenges early in the design and deployment of a technology."
technology  top  stories  machine  learning 
may 2018 by jonerp
The I in AI is dumb leading to incrementalism not transformation
"A plethora of conflated terms - AI, ML, DL along with transformation are not helping decision-makers to chart a path to build more efficient and effective business models. Time to step back."
analytics  planning  and  data  analysis  digital  transformation  -  frictionless  enterprise  future  of  work  governing  identity  privacy  security  machine  intelligence  ai  deep  learning  dl  ml 
may 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
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
Five Ways Machine Learning Can Save Your Company From A Security Breach Meltdown
"However, 62% of CEOs have the impression that multi-factor authentication is difficult to manage. Thus, their primary security concern is primarily driven by how to avoid delivering poor user experiences. In this context, machine learning can assist in strengthening the foundation of a multi-factor authentication platform to increase effectiveness while streamlining user experiences."
business  featured  posts  technology  software  byline=louis  columbus  cybersecurity  machine  learning  security  breach  zero  trust 
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
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
News Analysis - Oracle wants to make the whole cloud stack autonomous - by @holgermu
"MyPOV – When Ellison announced the self-autonomous database at Oracle OpenWorld in fall 2017, something was missing: The application of the same principles to the overall technology stack. After all – what is an autonomous database good for, when it gets compromised by network security issues that do not have the benefits of autonomous capabilities. So, this is a key follow up announcement."
ai  autonomous  cloud  constellation  research  holger  mueller  iaas  machine  learning  nextgen  apps  oracle  paas  saas  self  driving  architecture 
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
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
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
Radiologists are often in short supply and overworked – deep learning to the rescue - by @krmarko
"Deep learning has numerous applications in medicine. We examine just one area, radiology, where DL is allowing for the reaping of low hanging fruit."
analytics  planning  and  data  analysis  health  healthcare  transformation  machine  intelligence  ai  deep  learning 
december 2017 by jonerp
Voice and the Future of the Platform Companies - by @fintanr
"We have entered into an era where massive scale is a differentiator – and companies are happy to share the underlying work that has facilitated them operating at scale. Much of the emerging technology landscape, from cloud native to artificial intelligence, is being shaped by projects that companies, like Google and Facebook, have had a hand in either inspiring or creating. But if their revenue streams begin to be threatened will the model of openly publishing research and contributing to various projects change?"
aws  business  cio  cloud  native  deep  learning  strategy 
december 2017 by jonerp
Event Report - Salesfore Dreamforce 2017 - My oh my - and serious platform news - by @holgermu
"On the concern side, Salesforce remains slow at innovating, but that is understandable, given the vendors efforts to move its platform from inhouse / Oracle to public cloud (AWS, Google) and more opensource. Not an exciting message for a general user conference, but the move will change Salesforce more than many other potential product announcements. Salesforce must go through this re-platform successfully, to remain competitive from a infrastructure perspective and also to power and create a modern platform around BigData and Machine Learning.'
constellation  research  crm  developers  digital  disruption  dreamforce  future  of  work  holger  mueller  innovation  learning  nextgen  apps  nextgenapps 
november 2017 by jonerp
SAP improves unconscious bias functionality
"That is has taken so long to deliver this functionality demonstrates the difficulty in achieving the desired results. What isn’t clear from the announcement is how deep the analysis goes. Unconscious bias can be subtle and is often cultural in nature. It will be interesting to see how effective it is in some companies and their best customers."
erp  homepage  slider  latest  news  diversity  hcm  hrm  infor  machine  learning  sap  successfactors  unconcious  bias 
october 2017 by jonerp
Event Report - Workday Rising 2017 - Workday opens and advances the platform - but its early days - by @holgermu
"Overall Workday is moving in the right direction, I’d like to see it move a little faster, but customers will be in good shape as long as Workday delivers on the platform, architecture and functionality capabilities it has announced and shared at Rising. CxOs making decision should practice the usual caution as with all new products – minimum required capabilities, commercial implications, and roadmap are a few prominent considerations to mention. Stay tuned."
ai  chris  kanaracus  cloud  constellation  research  erp  finance  future  of  work  futurist  hcm  holger  mueller  machine  learning  nextgen  apps 
october 2017 by jonerp
Microsoft and AWS could be the strangest cloud bedfellows yet - by @ron_millerr
"Hell did not freeze over, but something remarkable has happened: Microsoft and AWS announced they are working on a project together. Project Gluon is an open-source, deep learning project for building, deploying and managing machine learning models."
cloud  tc  microsoft  aws  salesforce  machine  learning  project  gluon 
october 2017 by jonerp
What About Them Apples? - by @lcecere #scm
"While many argue that the definitions of the time horizons change with concurrent planning, I say not so fast. I think that within a global organization there is a need for a design group, an S&OP plan, and a replenishment process. Define the boundaries of the time horizons by work process definitions, not technology capabilities. Planning at companies varies by governance and cultural DNA."
demand  apples  cognitive  learning  management  share  group  forecasting  next-generation  supply  chain  processes  planning  by  design  point  of  sale  data 
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
Gartner’s Hype Cycle for Emerging Technologies, 2017 Adds 5G, Edge Computing For First Time
"Gartner added eight new technologies to the Hype Cycle this year including 5G, Artificial General Intelligence, Deep Learning, Edge Computing, Serverless PaaS.
Virtual Personal Assistants, Personal Analytics, Data Broker PaaS (dbrPaaS) are no longer included in the Hype Cycle for Emerging Technologies."
featured  posts  technology  software  ai  amazon  web  services  analytics  artifical  intelligence  cloud  computing  landscape  deep  learning  gartner  hype  cycle  for  emerging  technologies  louis  columbus'  blog 
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
Summer 2017 News Analysis - SAP Leonard event July 2017 - by @holgermu
"CxOs know that the 20th century best practices will not keep their enterprise in the survival race of the early 21st century. Design Thinking work shops are nothing new, and have proven themselves in the past. What is new is that an enterprise software vendor of the caliber of SAP is ready to partner with enterprises to establish these new best practices. This ensures integration with the rest of SAP automation and the potential bonus of becoming part of the roadmap. In the traditional approach it was clear that the work would always remain a custom effort – with the associated integration burden and maintenance costs following from a custom effort"
ai  bi  cloud  constellation  research  holger  mueller  iot  leonardo  machine  learning  nextgen  apps  paas  sap  platform 
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
Cognitive Computing: Getting Clear on Definitions - by @lcecere #scm
"A hype cycle starts with a technology trigger. In the case of cognitive computing, the trigger is the use of sensor technologies along with in-memory processing to sense, learn and act. We are witnessing the evolution of analytics for pattern recognition, and unstructured text mining along with the redefinition of architectures to enable streaming data and real-time process innovation. The work by Google on manless vehicles or the department of defense’s work on ‘bad guy detection’ spawned early innovation. Despite the powerful and brilliant, IBM Watson marketing machine, realize that it is still early. Only 7% of manufacturers are experimenting with cognitive computing."
big  data  supply  chains  demand  driven  cognitive  computing  models  machine  learning  ontologies  chain  unstructured 
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
Event Report - July 2017 Microsoft London AI Event - by @holgermu
"On the concern side, Microsoft has to find a match to the uptake in mindshare and real-world AI deployments that Google’s Tensorflow is seeing, if not Tensorflow will be the Kubernetes of 2017 – a Google launched open source offering that dominates an important aspect of the cloud infrastructure. And one can argue that Tensorflow is even bigger stakes than Kubernetes, as it not only dominates the AI / Machine Learning equation, but due to data gravity pulls along substantial data storage and processing load. Not to mention the model training and execution loads."
ai  bigdata  cloud  constellation  research  futurist  holger  mueller  iaas  machine  learning  microsoft  nextgen  apps  nextgenapps  r&d 
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
Event Report - Cornerstone on Demand Convergence 2017 - Back to Learning Basics - by holgermu
"We had the opportunity to attend Cornerstone’s yearly user conference Convergence in San Diego, held from June 5th till 7th 2017, at the San Diego Marriott Marquis & Marina. The conference was very well attended with over 1000 attendees, and almost 30 influencers. The show floor saw a wide range of partners – including – as it’s in the time of the marketplace – coopetitors. A good sign for customers."
cloud  constellation  research  cornerstone  futurist  holger  mueller  hr  core  learning  nextgen  hcm  talent  management  trusted  advisor 
june 2017 by jonerp
Strategic Technology: Cloud Native Data Science - by @fintanr
"But there are serious difficulties. Standing up and maintaining Hadoop infrastructure is not for the faint hearted. As my colleague, James Governor, recently noted “that giant sucking sound is the sound of Hadoop being sucked into the cloud”. To paraphrase the “infrastructure as a product” mantra that we heard from the team at OpenAI, your big data infrastructure needs to be self-service and easily extendable. We have noted in the past that your big data infrastructure is just dial tone. The ability of your team to use it efficiently is far more important."
aws  business  cio  cloud  native  containers  cto  data  deep  learning  machine  strategy 
june 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
Event Report - SAP Capital Markets and S/4HANA Update - Good Plan - Execution matters in 2017
"On the concern side, talk is cheap and slides are patient. SAP must deliver and execute in 2017 to get S/4 HANA cloud out of a sleeping beauty style deep sleep. Bigdata capabilities, PaaS functionality and Machine Learning are quickly becoming table stakes for enterprises, so speed is of the essence."
ai  constellation  research  futurist  hcp  holger  mueller  machine  learning  nextgenerp;  paas;  hana  s4  sap  cloud  platform  strategic  advisor 
february 2017 by jonerp
Adaptive Intelligent Applications - by @denispombriant #oracle
"Oracle jumped into the AI and machine learning space for its CX products (a.k.a. CRM) and other applications like HCM at OpenWorld with an interesting difference—a huge data store to help educate the algorithms that work for you. Now we’re waiting for products to be delivered this year."
crm  ai  machine  learning  oracle  adaptive  intelligent  apps. 
february 2017 by jonerp
MIT’s Food Computers Set the Stage for Open Source Agriculture
"There are some indications of this shift: the appearance of urban rooftop farms, an explosion of interest in automated hydroponic systems. The problem with all these systems is that their platforms are proprietary, and the lack of a common platform between them means these won’t necessarily scale up."
"Most  of  us  probably  don’t  think  too  much  about  the  foodstuffs  we  buy  in  supermarket.  But  behind  scenes  today’s  food  production  system  relies  on  a  centralized  industrial-scale  supply  chain  that’s  still  dependent  upon  soil-based  agriculture  for  majority  our  crops.Most  crops.culture  science  technology  top  stories  big  data  computer  computing  machine  learning  massachusetts  institute  open  source 
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
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
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
First Take - Google enters enterprise software space with Google Jobs API
"Good to see Google using expertise and moving it towards enterprise applications. One more offering that helps Google move the conversation towards the enterprise, something the vendor desparately wants to foster, grow and ultimately monetize."
analytics  cloud  google  platform  machine  learning  predictive  recruiting  talent  acquisition 
november 2016 by jonerp
The Enterprise of the Future Will Need Connected Big Data
"The more nuanced answer is to view microservices as an accelerator or enabler. You are no longer forced to choose exact same data model for each piece of the backend, he clarified. The architecture is much more agile. For example, you can put your products in a graph database, so your customers have access to real-time recommendations, and put finances in a tabular database."
events  technology  top  stories  apoc  data  management  models  graph  database  graphconnect  2016  ibm  machine  learning  microservice  architecture  neo 
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
AI and customer loyalty - by @denispombriant
"Artificial Intelligence and Machine Learning (AI and ML) have taken the industry by storm with some saying they will usher in a new age of better business processes and customer orientation while others fret that automation will kill jobs. Both might be true."
crm  ai  customer  loyalty  machine  learning 
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 - GE and Microsoft partner to bring Predix to Azure - Multi-Cloud becomes tangible for IoT - by @holgermu
"This is the second ‘mega’ partnership Microsoft announces – after the Azure partnership with SAP, the focus with GE though is on next generation applications, building IoT solutions with GE’s Predix. Both partnerships are important for Microsoft as they bring ‘load’ to Azure, and load is what power the economics of scale that make IaaS providers competitive. Microsoft needs these partnerships to fuel Azure growth post the era of the current number one growth engine for Azure – Office conversions."
azure  cloud  cortana  ge  digital  internet  of  things  iot  machine  learning  microsoft 
july 2016 by jonerp
Machine Learning Is Redefining The Enterprise In 2016 - by @louiscolumbus
"Exponential data growth with unstructured data being over 80% of the data an enterprise relies on to make decisions daily. Demand forecasts, CRM and ERP transaction data, transportation costs, barcode and inventory management data, historical pricing, service and support costs and accounting standard costing are just a few of the many sources of structured data enterprises make decisions with today."
business  featured  posts  technology  software  analytics  big  data  cloud  computing  enterprise  louis  columbus'  blog  machine  learning 
june 2016 by jonerp
Apache Spark for Deep Learning: Two Case Studies
"When it comes to big data-styled analytics processing, it’s a so-called two-horse race between the old stallion Hadoop MapReduce and young buck Apache Spark. Increasingly, many companies that are running in Hadoop environments are choosing to process their big data with Spark instead."
case  study  events  top  stories  apache  spark  big  data  frameworks  deep  learning  hadoop  mapreduce  machine  papi  trovit 
may 2016 by jonerp
Progress Report - Cornerstone Convergence - HR Core debut, lot's of product, time to execute! - by @holgermu
"Cornerstone is doing well on all fronts. The vendor has a shot at breaking even for the first time in 2016 based on GAAP rules and is expanding its product offering, boldly, more bold than I would have expected. This could be the strategic junction where it is clear that Cornerstone has left the ‘Talent Management only’ offering, and is moving to cover much more HCM automation (for now with Link in HR Core and with Workforce Planning gets into Workforce Management)"
analytics  cornerstone  hr  core  learning  mooc  nextgen  apps  hcm  talent  management 
may 2016 by jonerp
New Infosys AI tool could transform the way companies maintain complex systems - by @ron_miller
"Infosys believes that once you begin to get a grip on these basic plumbing issues, you can put humans to work on more fundamental problems that require creative thinking, something machines are a long way from achieving. A more cynical view is that companies will lay off the employees once they are no longer needed. The reality is probably going to be somewhere in the middle."
artificial  intelligence  enterprise  tc  infosys  vishal  sikka  machine  learning  knowledge  management 
may 2016 by jonerp
Sparking a New Conversation: Let’s Build a Network of Networks - by @lcecere
"Not all data needs to fly first class. While many companies speak to us about the need for real-time data, we believe that data needs to move at the “right timing.” Some data needs to move quickly and with high velocity using streaming data architectures, while other data sources can move in batch processes."
customer-centric  supply  chains  demand  market-driven  value  networks  chain  insights  community  cognitive  learning  sensing  eta  hadoop  internet  of  things  market  master  data  network 
april 2016 by jonerp
Deep Learning Demystified
"It does sound expensive and complicated, but the value of understanding the value of deep learning is invaluable. Deep learning is what makes big data more than a buzzword. Machine learning and its deeper cousin are what will give you competitive insights into your customers and then allow you to turn that into drilled-down campaigns. Deep learning has a computer learning patterns and recognizing habits that take millions in market research at which to make educated guesses."
analysis  top  stories  ai  alphago  application  programming  interface  artificial  intelligence  big  data  classic  machine  learning  deep  mind  neural  network  gpu 
april 2016 by jonerp
Musings - The Bots are coming to your conversation - what are the implications? - by @holgermu
"So lets look at the top implications:

New App Stack - As noted by Nadella, conversations are the end of the user interface as we know it. That requires a new application stack that vendors have to provide and developers have to build on."
bots  conversation  facebook  machine  learning  microsoft  platform  robots  speech  recognition 
april 2016 by jonerp
Event Report - Oracle HCM World - Innovation around the Core - by @holgermu
"On the concern side Oracle needs to address two major issues, which are growing year over year, the first glance user interface is not up to speed with 21st century best practices. The irony is that the Oracle HCM user experience gets better as you drill down, with all other vendors it usually degrades. And then Oracle runs Recruiting on the Taleo platform, getting this key functionality on the overall Oracle cloud platform (IaaS, PaaS and SaaS) is something the vendor needs to tackle sooner than later."
hcm  helpdesk  hr  learning  nextgen  oracle  cloud 
april 2016 by jonerp
First Take - Microsoft Build 2016 - Day 1 Keynote Takeaways - by @holgermu
"For customers overall it is good news that Microsoft has aligned on a vision for product that is more specific and measurable than the 30k+ feet 'mobile first / cloud first' moniker. Making workers more productive is something that matters to enterprises, and with a lot of innovation happening in email (!) right now we maybe up to the next generation of applications, or as Nadella puts it - up to a new platform."
ai  analytics  build  conversation  future  of  work  machine  learning  microsoft  nextgen  apps  windows 
march 2016 by jonerp
Requiem for Tay: Microsoft’s AI Bot Gone Bad
"Just days after Google artificial intelligence-based DeepMind technology defeated the world’s Go Champion, an experimental Microsoft AI-based chatbot was out-gamed by goofballs on Twitter, who sent the bot swirling off into an inflammatory rants."
culture  top  stories  ai  artificial  intelligence  case  study  machine  learning  microsoft  twitter 
march 2016 by jonerp
First Take - Google Cloud Platform - Takeaways Day #1 Keynote - by @holgermu
"We have the opportunity to attend Google's Google Cloud Platform event this week in San Francisco, a key event for Google in the on going 'battle for the public cloud'."
analytics  cloud  google  platform  compute  engine  machine  learning 
march 2016 by jonerp
Driverless Cars Recognize Peds Better With Deep Learning Algorithm - by @kimberlymok
"Autonomous cars use a variety of technologies like radar, lidar, odometry and computer vision to detect objects and people on the road, prompting it to adjust its trajectory accordingly. But these tools can drive up the cost of driverless cars, and still aren’t as effective as the human brain in visually distinguishing some objects from pedestrians."
news  top  stories  algorithms  machine  learning  neural  networks  smart  cars 
march 2016 by jonerp
How APIs and Artificial Intelligence Help Democratize Election Information
"“Anything is kind of fair game. It’s all about thinking about what the use case is and finding the API that works for that,” Hathaway said. “It’s interesting to see the speed that AI and machine learning are beginning to operate. It used to take a long time to get a large data set. But with all the deep learning capabilities and advances being made, it’s getting faster and faster in time to value.”
analysis  technology  top  stories  2016  elections  ai  api  application  programming  interface  artificial  intelligence  machine  learning  us  presidential 
march 2016 by jonerp
Become Data Driven: Embrace the Iconoclast in Your Organization 0 by @lcecere #scm #analytics
"No company on the call felt that they had a data strategy. One company was testing a non-relational solution. While companies desire real-time systems and new insights, many were just trying to get the planning systems that they had now working better. On the call, no company thought they had cracked the code of delivering on the promise of supply chain analytics."
big  data  supply  chains  customer-centric  demand  cognitive  learning  strategy  chain  analytics  excellence 
january 2016 by jonerp
The Year Ahead: What’s in Store for Machine Learning? - by @kimberlymok
"It’s been a breakthrough year for machine learning. This form of artificial intelligence — which uses algorithms to provide computers with the ability to learn from data and make computational predictions without explicit programming— has long been confined to academia since the 1950s. But there’s a noticeable shift in the air, as we’re seeing machine learning (ML) being incorporated into conspicuous items like autonomous cars, robots and drones, and even computers smart enough to beat humans on quiz shows."
culture  technology  science  machine  learning  artificial  intelligence  the  year  ahead 
january 2016 by jonerp
Dawn of the Emotional Machine - by @jeffnolan
"Think of Siri having the capacity to adjust responses according to my mental state, sensing if I am sarcastic, happy, humorous, sad, or stressed. Go beyond the interaction style and consider the ability to alter responses based on emotional state. In this scenario, along with humanoid machine forms, I believe we can interact with machines on intellect and emotion."
uncategorized  emotion  empathy  human  intelligence  machine  learning  natural  language  siri 
december 2015 by jonerp
News Analysis - Workday completes Talent Management with Learning - Finally - or too late? - by @holgermu
"Earlier today we learnt that Workday announced that it will create a Learning, a new application in its portfolio of HCM applications. The announcement is key as it completes the Talent Management portfolio offered natively by Workday – with Recruiting, Onboarding, Performance Management, Compensation and now Learning."
cornerstone  elearning  learning  nextgen  hcm  oracle  platform  sap  social  successfactors  talent  management  workday 
september 2015 by jonerp
SuccessFactors Training and Certification FAQ: 2016 Edition - by @lukemarson 7/14
"My blog SuccessFactors Training and Certification FAQ that was published back in December 2013 provided all of the relevant information relating to SuccessFactors training and certification and has been viewed over 40,000 times to-date. With rapid and big changes taking place over the last year, I thought it was time to update my blog to include latest and greatest information and also answer some of the questions as below."
sap  marketing  sapmentor  cloud  development  hcm  successfactors  training  human_capital_management  learning  hr  saas 
july 2015 by jonerp
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