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jonerp : cognitive   30

Where Would We Be Without All of the BullS&%T?
"My questions for the technologists were, “How do you define cognitive?” With hearing this question, most will answer with silence. Only Enterra answers the question with the definition of a semantic inference engine. Instead, most of the solutions are aligning data using machine learning or improving planning models through better use of math. Few are driving innovation to drive autonomous supply chain planning through better management of exceptions (not just showing the exceptions, but giving suggested action)."
big  data  supply  chains  new  technologies  advanced  planning  aera  anaplan  cognitive  computing  kinaxis  logility  market  hype 
11 weeks ago by jonerp
A Framework for Supply Chain Leaders to Understand Supply Chain Analytics - by @lcecere
"While blockchain and cognitive computing are believed to be the most disruptive within five years, less than 7% of companies are actively testing these technologies today. While immature, the two together offer great promise. We continue to push the envelope to help companies test these technologies through the share group for the network of networks. The next session is at the GS1 Headquarters in Chicago on April 4th-5th. Let me know if you are interested in joining the discussion and learning more."
big  data  supply  chains  global  chain  analytics  insights  community  cognitive  descriptive  ontology  reporting  schema  on  read  sentiment  analysis 
february 2018 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
How Can I Drive Lights-Out Planning? - by @lcecere
"Yesterday, I facilitated a group of business leaders attempting to drive innovation in supply chain practices. The last five years were tough for the group. With five serial years of Draconian cost-cutting efforts and downsizing, the team has been heads-down trying to survive. For many years, the focus was overcoming day-to-day hurdles. In addition, the company, for the first time in a decade, is struggling to grow. As a result, there has been little time for reflection. Conferences, external training, or educational forums took a back seat."
demand  driven  digital  supply  chains  cognitive  computing  innovation  lightsout  plannig  chain  planning 
november 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
Summoning the Courage to Redefine Forecasting: Upending the Apple Cart - by @lcecdere
"Unfortunately, while business leaders know there is a problem, there is an unwillingness to act. Today’s solutions are not adequate. Yet, few will test an alternative approach. The good news is that new solutions offer promise. The bad news is unlearning traditional forecasting processes is hard. Business users need to be open to testing new approaches and technology solution providers need to prove the value."
demand  metrics  that  matter  new  technologies  cognitive  computing  forecasting 
september 2017 by jonerp
Mining Supply Chain Data for Insights - by @lcecere
"So if a technology vendor in supply chain planning promises improvements in costs and inventory, be wary. Pour the coffee strong. However, do not throw the baby out with the bath water. Planning can drive results if the organization has the right DNA. Focus on defining supply chain excellence and the appropriate use of the technologies. Test and verify results and build planning into data-driven processes. Do not treat supply chain planning as a typical technology project focused on implementation. Instead, refine the data model and test outcomes."
big  data  supply  chains  demand  driven  market-driven  chain  blockchain  cognitive  computing  sensing  efficient  frontier  metrics  that  matter  robotics 
september 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
IBM Brings Low-Code App Development to Bluemix
"Overall, IBM’s goal is to make Bluemix the go-to platform for developers of all types, from so-called “citizen developers” to professional development teams building enterprise applications and commercial products. The Bluemix platform features more than 150 tools and services covering areas such as cognitive intelligence, blockchain, security, Internet of Things, DevOps and more."
analysis  top  stories  authentication  cloud  cognitive  builder  fair  initiative  space  data  decision  composer  model  and  notation  development  education  forrester 
april 2017 by jonerp
Different Strokes for Different Folks (to Yield Better Results?)? - by @lcecere #scm
"Disruption in supply chain planning is happening. My angst is that it is not happening faster. We are on a path to reinvent decision-support technologies like supply chain planning. The third act is starting. This will make traditional approaches obsolete. The rate of adoption will be fast for early adopters (next five years), but much slower for conservative followers. The barrier for all is traditional thinking."
demand  uncategorized  channel  data  cognitive  reasoning  planning  innovation  probabilistic  forecasting  supply  chain  insights 
february 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
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
How to Avoid Burnout Managing an Open Source Project
"Pearce talked about how “information overload is a learning problem,” which can be addressed by managing the information when we display it for others using visual cues (bullets, paragraphs, and other visual indicators), collecting information into more digestible chunks, and creating schemas"
culture  events  top  stories  change  management  code  of  conduct  cognitive  psychology  community  documentation  open  source  communities  oscon  london  2016  time 
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
Event Report - IBM World of Watson - IBM's bets its future on Watson - by @holgermu
"On the concern side, IBM needs to make sure not lose the eye on ‘bread and butter’ business, e.g. buried in the announcements was a new, HTAP enabled version of DB2. That by itself would have carried a conference by itself not too many years ago. And pretty much all the solutions talk general capability with a grey line between Watson capabilities, product capabilities and what smart consultants are making possible. Prospects and customers want and need to know what are product vs. services capabilities, as the mix creates a very different value proposition. Hiding behind ‘it’s all about the solution’ won’t work for long, as tangible AI platform capabilities are key to evolve solutions that are powered by them."
ai  cloud  cognitive  computing  constellation  research  futurists  holger  mueller  iaas  ibm  ml  paas  predictive  analytics  strategic  advisor 
october 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
Digital labor will trim 1.4 million global services jobs by 2021 - by @pfersht
"The choice will largely be down to the workers figuring out whether they want to stay in this industry and learn new skills and ways of working, in order to continue to be effective. As the data plainly shows, the services industry, from an employee standpoint, is likely to be 10% smaller in five years’ time. That may be a significant number of workers, but this reduction is gradual and gives ambitious workers the chance to reorient their skills and job focus."
business  process  outsourcing  (bpo)  cognitive  computing  digital  transformation  hfsresearch.com  homepage  hr  strategy  it  services  robotic  automation  enterprise  irregulars 
june 2016 by jonerp
Robotic Process Automation has now penetrated a third of enterprises - by @pfersht
"The overwhelming conclusion is that a large chunk of enterprises are actively implementing it, and 10% even claim to have full scale RPA platforms up and running (let’s not dwell too much on the finer points of defining RPA here – the bigger picture here is the obsessive widespread focus, testing and deployment of automation tools)."
2015  as-a-service  study  analytics  and  big  data  business  process  outsourcing  (bpo)  buyers'  sourcing  best  practices  cognitive  computing  hfs  surveys:  all  our  survey  posts  hfsresearch.com  homepage  it  services  robotic  automation  saas  paas 
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
It’s time we started Being As-a-Service - by @pfersht
"Our industry is beset by fear, like never before. People are scared – they know their skills and capabilities could quickly become obsolete in a world where the job openings increasingly demand creativity, analytical prowess and an ability to pivot across domains. Suddenly, if you’re not a Digital native who talks about endless disruption and the coming robo-geddon, you’re a dinosaur… The gap between hype and reality has reached ridiculous proportions, and it’s time we stopped thinking about the fantastical future and focus on what we can achieve today."
2015  as-a-service  study  analytics  and  big  data  business  process  outsourcing  (bpo)  buyers'  sourcing  best  practices  cognitive  computing  design  thinking  digital  transformation  hfsresearch.com  homepage  hr  strategy  it  services  robotic  automation 
march 2016 by jonerp
The jobs aren’t “going away” – they’ve already pretty much gone - by @pfersht
"Rote B2B sales and customer service jobs have already gone away.Forrester’s jaw-dropping prediction is a simple case of analysts predicting things that have already happened to create some headline noise. Most B2B transactional customer service tasks have already been automated, or at least offshored."
business  process  outsourcing  (bpo)  buyers'  sourcing  best  practices  cognitive  computing  digital  transformation  it  services  robotic  automation  change  management  locations  enterprise  irregulars 
february 2016 by jonerp
Why 77% of the C-Suite really want provider-replacement therapy - by @pfersht
"Outsourcing is very much the direction the C-Suite wants to take to do the redesigning. 62% see a genuine need to bring in external specialists to redesign their operations, compared to only 24% of their middle layer. Clearly, leadership realizes their existing team just doesn’t have what it takes to do much more than keep the same old widgets turning."
2015  as-a-service  study  analytics  and  big  data  business  process  outsourcing  (bpo)  buyers'  sourcing  best  practices  cognitive  computing  design  thinking  digital  transformation  hr  strategy  it  services  knowledge  &  robotic  automation 
january 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
Data is eating the services industry! - by @pfersht
"In short, Dries is correct in his view that the value is no longer really in owning the software, it’s in owning and orchestrating data powered by huge internet-enabled communities. And it’s also very appropriate to take this viewpoint when we look at the future of operations and service delivery, which I’ll get to soon."
analytics  and  big  data  business  process  outsourcing  (bpo)  cognitive  computing  design  thinking  digital  transformation  it  services  knowledge  &  robotic  automation  saas  paas  iaas  bpaas 
january 2016 by jonerp
10 issues defining the services industry in 2016 - by @pfersht
"We’ve pooled all the big discussion topics from our recent service buyers summit in Harvard and let our analysts loose to demand 10 big things the industry needs to address if we are going to drag ourselves away from legacy land and avoid becoming massage therapists… and venture into the promised land of the As-a-Service Economy"
2015  hfs  buyers  summit  analytics  and  big  data  business  process  outsourcing  (bpo)  buyers'  sourcing  best  practices  cloud  computing  cognitive  contact  center  omni-channel  crm  marketing  design  thinking  digital  transformation  global  services  hr  strategy 
january 2016 by jonerp
Why we mustn’t make the same mistakes with RPA that we made with BPO - by @pfersht
"Glaring into a future, where there is no written rule book, no set curriculum to follow, can be a little daunting. So it can’t hurt to take a look at some of the mistakes of our past to create a more long-term, focused strategy to set us in better stead as we embark on this new wave of change and disruption to our cosy little world"
featured  posts  technology  software  analytics  and  big  data  business  process  outsourcing  (bpo)  buyers'  sourcing  best  practices  cognitive  computing  design  thinking  digital  transformation  enterprise  irregulars  hfsresearch.com  homepage  it 
december 2015 by jonerp
80% of outsourcing relationships fail to deliver collaborative value… so what can we do? - by @pfersht
"Design Thinking in services is based, primarily, on both service buyer and provider coming together to create business outcomes that are mutually beneficial – and motivational – for both parties. However, this must be established as ongoing collaboration across all key relationship stakeholders, and not simply two days of senior management putting sticky notes on each others’ foreheads."
business  featured  posts  2015  hfs  buyers  summit  process  outsourcing  (bpo)  buyers'  sourcing  best  practices  cognitive  computing  design  thinking  enterprise  irregulars  hfsresearch.com  homepage  hr  strategy  it  services 
december 2015 by jonerp
Wanted: Supply Chain Architects! - by @lcecere
"In the last and final stage of network design maturity, the focus is on a clean sheet of paper. The question is not to optimize what exists, but to develop a road map of what should exist. This work is useful to shutterstock_86016574baseline the current state of the business and brainstorm higher levels of performance."
demand  market-driven  new  technologies  supply  chain  excellence  insights  community  cognitive  learning  five  stage  maturity  model  for  network  design  logistics  lora  cecere  metrics  that  matter  risk  management 
may 2015 by jonerp
First Take - IBM InterConnect Day #1 Keynote - BlueMix, SoftLayer, Watson - by @holgermu
"It is end of February and it is time to make it to Las Vegas for IBM InterConnect, the new mega IBM event, combining three separate previous events. Spanning from Mandalay Bay to MGM Grand it will for sure get those health tracker stats up – but better one mega event than 3 trips… "
amazon  aws  azure  bluemix  cloud  cognitive  computing  google  ibm  oracle  paas  softlayer  watson 
february 2015 by jonerp

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