The points above are not limited to editors. They are fundamentals of system design.
There was a time when even Microsoft recognized this, making apps that could be programmed via VisualBasic. Sadly, they concocted a security nightmare, because malware can also control your application. Which is why being able to secure your application’s scripting language is critical as w
Let’s face it, most of us are addicted technology futurists. Who doesn’t enjoy speculating about what technology marvels will be commonplace in the coming decades? Will it be 3D printing? Artificial intelligence? “Singularity”? All are buzzwords of the emerging technology future. But what about leadership? If we don’t get leadership right, […]
Good article on how leadership is changing; I loathe companies who aren’t already headed in this direction. Needs right strategy to pull this new leadership together. Exact Holding product strategy needed tuning, leadership was on target.
Three clicks instead of ten. Two steps instead of five. White space. Intuitive icons. Drag and drop. As consumer UX underwent a renaissance over the last decade, enterprise software stagnated with a design sensibility from the dial-up era.
Yep, fully concur! Enterprise apps are targets for a massive change. Internal users and clients always compare to their consumer apps and a lot needs to be done to help them truly engage with enterprise apps!
“Our early testing showed that high throughput apps are not a good choice for your first Docker deployment, due to the Docker network stack. Release 1.0 of Docker brought reliable host-based networking and that may have changed this situation–we’re investigating that now. Applications where each instance must stay up for a long time are not a good first choice, either.”—
Andrew Musselman from Accenture recently spoke at the Scalability / Distributed Systems meetup on the Microsoft Redmond Campus. Accenture is reacting to the emergence of time series data in enterprises, building Hadoop business analytics for SAP systems not designed for vast data from sensors & IoT. Andrew is principal scientist in the global big data practice at Accenture where he leads the data science team in North America. He is a committer on the Apache Mahout project and is writing a book on data science for O’Reilly.
Deloitte is also looking ahead: We expect that the vision of the anticipatory supply chain will take years to realize fully. At every step, the most effective organizations will be those applying cutting-edge technology to enhance their real-time understanding of activity in complex supply networks, and to improve the economics of having production capacity closer to consumption locales. As the Internet of Things expands and companies’ analytics become more sophisticated, predictive supply decision making will increasingly become automated. Sensors signaling disruptions or unexpected activity in remote corners of the world will trigger appropriate adjustments in the flows of materials and energy. http://dupress.com/articles/bus-trends-2014-anticipatory-supply-chains/
Flextronics spin-out Elementum has traction with mobile devices, confirming another spline of data for anticipatory supply chains: http://www.elementum.com/
PinkRoccade in the Netherlands in healthcare is also monitoring time series data for anticipatory systems. http://www.pinkroccade.nl/
Haiku inspired by PiL.
I could be wrong, I could be right. SAP, your time has come, your second skin. May the road rise with you.
Smartphone owners’ waning appetite for new apps is casting a shadow over what has been a technology market hotspot and is fuelling mobile developers’ concerns that their best days of growth are coming to an end. Almost a third of smartphone users do
I still feel Appstores offer value to startups, perhaps time the mobile web components provides basis for complete applications on desktop and beyond?
Maryam Mirzakhani is the first woman to ever win the Fields Medal – known as the “Nobel Prize of mathematics” – in recognition of her contributions to the understanding of the symmetry of curved surfaces.
The booming tech industry may be sexy, but companies with little-known brands can still find it difficult connecting with people. That’s why many turn to a secret tool single people have long known: animals.
I help companies utilise Cloud Technologies effectively and I help Acumatica Cloud ERP partners become more effective in their approach to marketing, sales and running a successful business. I am an Authorised Duct Tape Marketing Consultant.
As Android fragmentation shows. Integrated development and maintenance of software products to support efficient updating of customer configurations via flawless installers actually works.
More so to support complementary solutions in custom driven enterprise software this can make a huge difference to successfully delivering multiple versions to different customers. Accumatica’s Richard Duffy blog show how not surprisingly alike Force.com cloud implementation. Both are simpler than Microsoft “Project Green” that appeared in early Vista developments
Enterprises spend a fortune on integration, common standards can save fortune on custom development no matter how RESTful the APIs.
While consumer-focused social networking services such as Facebook and Twitter have enjoyed great popularity, especially amongst the youth, software for facilitating communications across an organization has not been as successful.
That is the goal of Azure Machine Learning. “This is, as far as I know, the first comprehensive machine learning service in the cloud,” Mr. Sirosh said. “I’m leveraging every asset in Microsoft for this.” He is also using ways of accessing an open source version of R, a standard statistical language, while in Azure.
Many of us expert in industrial recommender systems matching “S’pply n D’mand” missed the change from shortages of supply to shortages of demand. VCs didn’t miss this backing anything mining demand inferences, particularly Hadoop based leaving new sources of global supply from global suppliers by companies like Apple. In doing so the open source Web 2.0 hadoop business architecture was created to mine in closed "big data" sources for your demand: Results soldto advertisers.
Private Equity funds didn’t miss this shift from supply to demand, taking nearly every public ERP company operating at scale private (virtually all bar SAP and Oracle). At the core of ERP is MRP (material requirements planning) which business use to match supply/demand. With shortage of supply behaves as recommender system for exceptions. With abundant supply, quality demand becomes the imperative.
The VC’s backing quality demand brought us CRM, Search, Social and Ecommerce. Greg Gottlesman, VC at Madrona believes that Amazon out of all is in the process of becoming the world’s most valuable company.
Amazon’s businesses create the best quality demand, a credit card cleared order, not social engagement inferences mined from Facebook via Hadoop et al.
What can upset this Golden Pony, shortage of supply?
Shortage of water, oil and other precious raw materials can and will disrupt supply and demand. For example McDonalds and Nike are already investing in smaller suppliers and alternative sources to add diversity and reduce risks in regions of the world with sustainability issues like Indonesia and drought regions.
Nike even went as far as hiring Ward Cunningham to help with prototypes for working in the emerging era of sustainability. Alas, currently over investment in demand systems feels inversely proportional to under investment in supply systems technologies.
For example the core algorithm for MRP, around since 1970s has been revised for the demand driven era by Carol Patk & Chad Smith in Orlicky’s third ‘DDMRP’ edition — but not web 2.0 social technology updated. Internally we can surmise Amazon has built Hadoop MRP.
The DDMRP authors are superb APICs, Goldratt, TOC, Lean, operations experts not computer scientists — Carlos Guestrin, Ed Chi — versed in machine learning, or social computing technologies.
What can upset this Golden Pony, shortage of demand?
Another possibility, the search for quality demand turns away from big data to personal data. Ward’s - Smallest Federated Wiki, Brad’s - Camlistore, and Doc Searls - project VRM all point in this direction.
The Respect Network is helping bring personal quality demand via emerging personal and enterprise datastores. These private by default, shared in a granular fashion, personal clouds were part of Doc’s keynote for the respectnetwork.com brings trust into perspective.
Other technologist’s such as Adrian Hall have startups such as deconstructed.io focused on user data flows across devices without mining for targeting.
Net-net here, I need to find an enterprise startup crazy enough to explore updating MRP here, matching demand/supply via VRM/Respect.
Jordan Ritter of Napster fame has set up Ivy Softworks for Data Psychics to incubate joining up the dots in this space. Till then, inspired by a16z’ Ben Horowitz, listening to the Egosouls-Nirvana: Produced by S’pply ‘N’ D’mand: Think I’m going crazy!
“Personalization appeals to a Western, egocentric belief in individualism. Yet it is based on the generalizing statistical distributions and normalized curves methods used to classify and categorize large populations. Personalization purports to be uniquely meaningful, yet it alienates us in its mass application.”—Data Doppelgängers and the Uncanny Valley of Personalization (via johnborthwick)
Editor’s note: This is the third in a periodic series profiling Microsoft workers amid the company’s sweeping attempt to foster a more collaborative culture, one that’s more innovative and agile. This story profiles Corporate Vice President Peter Lee, head of Microsoft Research.
For the longest time MSR produced cool new technologies that went nowhere. Product Managers bonused on Windows, Office and Server division sales blocked new features unless they could pull thru at least $200 million. This is how Microsoft ended up with rubbish adoption in mobile, ceded NoSQL to startups, missed out on big data with Dryad. The list goes on and on.