recentpopularlog in

cote : analytics   63

IDC Survey Finds Artificial Intelligence to be a Priority for Organizations But Few Have Implemented an Enterprise-Wide Strategy
An IDC "survey of global organizations that are already using artificial intelligence (AI) solutions found only 25% have developed an enterprise-wide AI strategy."

But:

"More than 60% of organizations reported changes in their business model in association with their AI adoption."
Surveys  AI  idc  analytics  links  via:Workflow 
9 weeks ago by cote
Multiple personality enterprise data
> There is also the cost of different people thinking about data differently because they are working with different platforms and not really speaking the same language as each other. I hear about this all the time from customers. They’ll have two people from their own organisation pitch up in a meeting with two different answers to the same questions, supposedly from the same data source.

> But those data sources are being run through different platforms and end up getting corrupted or changed or amended. And so you no longer have a single source of truth in your own underlying data. And that’s a big problem that many enterprises are facing. That is why, I think, for all those reasons, you absolutely see a trend towards consolidation.
bibd  analytics  tableau 
january 2019 by cote
Is CX the new killer app for ERP vendors? I seriously doubt it
All these analytics are nonsense if you don’t actually act on them, especially when it comes to customer service:

> I’ve filled out countless product registration/warranty cards over the years and only recently has one manufacturer ever reached out to me. Sadly, that outreach was a blatant money grab to sell me an extended warranty and new filters for my refrigerator. That’s not CX, that’s salesforce automation (SFA).

> Think about it. Did any manufacturer thank me for my purchase? Did they ever check in on me to see how I liked the performance, reliability, usability, etc. of the appliance? Did they ever try to get an advantage when I was in the market for newer appliances? Nope. They didn’t care about the customer experience as their interest faded away once the product sale occurred. Great CX isn’t needed in companies where amnesia kicks immediately after the sale.

More:

> ...their CX offerings include little, discrete tools that customers can use to take a small portion of the online commerce friction out of the sales process. These tools don’t make the company more customer-focused. They just make the ordering of products easier. The company doesn’t change in these scenarios. The same indifferent, internal processes and people are there. It’s just a web app that’s changed.

> This is not transformative. This is an insult to customers who really want to be put front and center with the company and its interactions. These little, baby-step, piecemeal solutions aren’t solving much. They buy some time for the software customer but, in the end, they may just postpone the day of reckoning for the firm when its customers defect en masse to more customer oriented organizations. You can’t be putting ‘customers at the center of things’ if you’re actually avoiding them.
digitaltransformation  customerservice  ERP  analytics  cx 
november 2018 by cote
HSBC chief architect: Why machine learning is accelerating cloud adoption
If you build it, you own it, big data ed.:

> “We got some value out of that but to be honest we found it hard to keep on top of, just hard to build skills at the pace required to integrate new technologies,” Knott says.

> “No matter how hard we ran there is always something new coming in that we wanted to get access to, but we couldn’t get there quite fast enough to have really finished deploying what we were deploying previously.

> “So it was hard to manage, hard to keep on top of, and also hard to scale. We had reasonable success but we were having these challenges.”

Also, it mentioned that they use Pivotal Cloud Foundry.
pcf  banking  pivotal  bigdata  HSBC  proofpoints  platforms  analytics  cases 
november 2018 by cote
Walmart pick Microsoft Azure for cloud
“Walmart plans to deploy Microsoft’s machine-learning, artificial-intelligence and other services to help employees, for example, pick products that go on shelves and optimize the performance of freezers and other equipment. The retailer is aggressively cutting costs as it invests in growing sales online, and it is using tech to analyze its operations, an area of Amazon’s expertise.”
walmart  publiccloud  microsoft  azure  ml  customers  retail  analytics 
july 2018 by cote
IT vendors slash prices in LatAm as users seek savings
"the uptake of offerings like cloud [$3.9bn market in LATAM] is still timid across the region. This is because businesses lack the revenue to make the shift to the cloud or do not have sufficiently skilled people to use them"
Marketsizing  analytics  latam  cloud 
july 2018 by cote
The Travel Industry’s Data Dilemma: Turning Insights into Action
“Further complicating matters, a large amount of customer data still lives in departmental silos, with sales, marketing, and customer service each supplying separate customer experiences. Those databases can easily grow stale or become inconsistent, since customer information owned by one department is often not shared with others. Keeping it up to date is an even more formidable task –– even a monthly update isn’t always frequent enough to keep up with the important life changes that can impact marketing decisions.”
data  digitaltransformation  travel  verticals  analytics 
june 2018 by cote
Cambridge Analytica: how did it turn clicks into votes?
“[I]f you live in the Hamptons and have nothing to do in the afternoon, you fill out consumer research surveys.”
ml  scandal  politics  analytics 
may 2018 by cote
Eden: The Tech That’s Bringing Fresher Groceries to You
Wal-mart using ML and analytics to keep food fresher:

“For example, take everybody’s favorite, the banana. This tasty fruit is consistently among the best-selling grocery items in Walmart’s U.S. stores. Bananas travel from seven countries in Latin America to over 4,000 stores in the U.S. On such a long road, what happens to those bananas if temperatures in the container trucks exceed acceptable ranges? In the future, Eden will be able to recalculate the freshness factor and re-route the shipment immediately. The bananas end up in a closer store to optimize freshness, consumers take home a delicious bunch, and everyone is happy.

Eden also helps eliminate food waste. Our goal is to eliminate $2 billion in waste over the next five years. Already, Eden is being used in 43 distribution centers and has prevented $86 million in waste from happening.

What was once a manual inspection process is now more efficient and thorough than ever.”
cases  food  walmart  retail  groceries  analytics  supplychain  ml  bananas 
april 2018 by cote
A look inside American Family Insurance's digital transformation office
“More specifically, our definition will include leveraging technologies, such as AI, machine learning or robotic process automation, but it’s really about data and how we’ll utilize it. Like most insurers, we have decades of outcome data. Now, with evolving capabilities, the availability of new data sources and advances in analytical modeling, we can marry historical data with real-time data to create something more powerful. The ultimate goal is establishing new ways of working that are more data-driven in order to become more proactive and valued in our customers’ lives.”
verticals  digitaltransformation  analytics  insurance 
march 2018 by cote
Almost half of CIOs plan to deploy artificial intelligence enterprise solutions | ZDNet
"According to the CIO agenda survey, four percent of CIOs have already implemented AI in some fashion, but a further 46 percent have plans to follow suit. In addition, 20 percent of CIOs worldwide have pilot AI programs in the pipeline for implementation in the near future." But, wait: "However, not every AI pilot will be a success. Gartner believes that up to 85 percent of projects will not deliver due to data bias, poor team management, or unsuitable algorithms."
analytics  surveys  planning  ai 
february 2018 by cote
The dangers of faith in data
“Faith in data grows in relation to your distance from the collection of it.” And other traps of getting too much confidence in data driven decisions.
biases  research  design  analytics 
february 2018 by cote
Gartner Survey Shows Organizations Are Slow to Advance in Data and Analytics
Still waiting for BI👉analytics👉big data👉AI/ML to hit the big time: “The global survey asked respondents to rate their orgs according to Gartner's 5 levels of maturity for data & analytics…. 60% of respondents…rated themselves in the lowest 3 levels.”
gartner  analytics  ai  surveys  ml  bi 
february 2018 by cote
The era of the cloud’s total dominance is drawing to a close - Life on the edge
A bit of an over-statement. What they want to say is "lots of new computing from IoT and pocket devices," or something.

"many new applications have to act fast. According to some estimates, self-driving cars generate as much as 25 gigabytes per hour, nearly 30 times more than a high-definition video stream. Before so many data are uploaded, and driving instructions sent back, the vehicle may well already have hit that pedestrian suddenly crossing the street."
iot  cloud  analytics  privatecloud 
january 2018 by cote
Is Kubernetes SAP Leonardo's Mona Lisa? The role of Kubernetes in the SAP Cloud
Lengthy piece looking into how kubernetes and Cloud Foundry are being used by SAP as the underlying layer for new software.
kubernetes  SAP  analytics  ERP  ISVs  cloudfoundry  kubo 
november 2017 by cote
Twitter / nrouda: Good view of how the @Dell ...
RT : Good view of how the portfolio builds a full technology stack for and from
DAAC  analytics  bigdata 
may 2014 by cote
How am I doing? GitHub lets developers visualize project stats | Application development - InfoWorld
GitHub Traffic Analytics service gives developers insight into interest in their projects Paul Krill asked for some quick input on GitHub’s newly released analytics. Here’s what I sent over for his story: As the blog post says, it does look like fun, though pretty minor in the grand scheme of things. GitHub has been a major driver of getting the development community to care more about social interactions and collaborations, here, tracking who’s looking at your code and where they’re coming from - standard web analytics stuff. Before GitHub, most of the community around code was pretty faceless: it was just forum posts, really passive users and lurkers around the code. With things like this, and GitHub as a whole, developers can get a better sense for who’s interested in their work. Developers have been learning to use this kind of meta-data in their applications to do A/B testing (is this feature better implemented one way or the other) and it’s interesting to think that they’d do some meta-data navel-gazing on their own code. Another class of user - marketers - would find this extremely valuable. I like to throw out the idea of “code as marketing” to illustrate the idea that code can be a good source for driving a vendor’s marketing needs. As an example, you can see Rackspace putting out command line tools and other developer SDK-ish things to market to developers. More than just “tools” to use on Rackspace’s cloud, this code is a marketing artifact. Since code is, essentially, the major currency of developers, if you want to do more marketing to them, you need to spray more code their way, hopefully that’s useful. In that instance, marketers will want to intimately track who looks at what on sites like GitHub, and this will give them an even more complete picture.
via:ifttt  from:tumblr  type:originalcontent  github  analytics  community  devrel  marketing  codeasmarketing  presspass  link  tumblr:link 
january 2014 by cote
Apigee Acquires InsightsOne To Deepen API Analytics Offerings | TechCrunch
The InsightsOne group has offered predictive analytics for consumer companies. It finds patterns from multiple sources of information. For example, Hasan explained how its analytics might help provide patterns in data from a fitness monitor but also health claim information. With that encompassing profile, a company may provide deeper intelligence insights. One use-case area: For example, there is the increasing amounts of data that people and machines create. With that scaling in data, there is a growing demand for new types of analytics capabilities. Graph databases are becoming more popular for the varied amounts of data they aggregate and analyze. These graph databases organize nodes, which might be things like a street light or people. The properties of a graph database describe the nodes. A graph database also has “edges” that connect the nodes and properties, defining the relationship between them. The value is derived when analyzing the patterns between the nodes and the properties.
via:ifttt  from:tumblr  m&a  apigee  apis  analytics  link  tumblr:link 
january 2014 by cote
Worldwide IT spending on pace to reach $3.8 trillion in 2014 | Information Age
Investment is coming from exploiting analytics to make B2C processes more efficient and improve customer marketing efforts…. The focus is on enhancing the customer experience throughout the presales, sales and post sales processes.
via:ifttt  from:tumblr  gartner  forecasts  analytics  b2c  link  tumblr:link 
january 2014 by cote
Silicon Valley Big Data Startup Bought for $930M by ... Monsanto? - Liz Gannes - News - AllThingsD
The deal is one of the best and most lucrative examples so far of applying a Google-style data-science mind-set to an existing industry — in this case, the world’s oldest and most popular: Farming. Verticals, man.
via:ifttt  from:tumblr  exits  bigdata  farming  analytics  m&a  verticals  link  tumblr:link 
october 2013 by cote
SAP buying KXEN for predictive analytics | Business Intelligence - InfoWorld
SAP plans to align the KXEN technology with its line of on-premises ERP (enterprise resource planning) applications, as well as its SaaS (software as a service) portfolio and HANA in-memory database, according to the announcement. The future, where we all shall live!
via:ifttt  from:tumblr  SAP  m&a  KXEN  analytics  predictiveanalytics  link  tumblr:link 
september 2013 by cote
How White Castle used predictive modelling on a chicken sandwich | Information Age
"We started with two products that were the same from a branding standpoint but had two different cooking processes," explains Bartley. "The first thing we did was test the cooking process. We did some consumer testing to find out which of the two processes results in the better product." "Then we ran some market tests," Bartley says. That meant trying the product out at a few select stores to gauge its popularity. You couldn’t look for a better headline for a reference case. Mmmm…sliders…
via:ifttt  from:tumblr  bi  predictiveabanalytics  cases  analytics  whitecastle  APT  link  tumblr:link 
august 2013 by cote
Agent Of Intelligence: How A ‘Deviant’ Philosopher Built Palantir, A CIA-Funded Data-Mining Juggernaut
"Private-sector deals now account for close to 60% of the company’s revenue, which FORBES estimates will hit $450 million this year, up from less than $300 million last year. Karp projects Palantir will sign a billion dollars in new, long-term contracts in 2014, a year that may also bring the company its first profits."
bigdata  analytics  palinter  cyberpunk  numbers  momentum  revenue 
august 2013 by cote
Walmart Labs Buys Data Analytics And Predictive Intelligence Startup Inkiru - TechCrunch
What is Wal-mart up to here? Are they trying to match Amazon? Bricks-to-clicks?
walmart  m&a  analytics  bibg 
june 2013 by cote
Just Announced at Tech-Ed: Travelocity Launches Analytics System on Windows Azure - Windows Azure - Site Home - MSDN Blogs
"Travelocity uses Windows Azure to provide compute power and storage for its business intelligence and analysis system. In doing so, it avoids burdening the capacity of its on-premises infrastructure, Thanks to cloud computing, Travelocity has fulfilled its partners’ requests for a system that collects metrics on customer interactions."
teched2011  Microsoft  cloudcases  Travelocity  analytics  reporting  travel  Azure  cloud 
may 2011 by cote
Is Mobile Affecting When We Read?
(a.) an excellent example of data analysis over aggregated analytics (multi-tenant user behavior tracking, and, (b.) interesting data point on how one audience is reading online content.
readitlater  via:gigaompro  reading  analytics  aggregateanalytics  could  content  cloudcases 
january 2011 by cote
Black Duck Software Acquires Ohloh.net from Geeknet; Purchase a Boon to Developers -- WALTHAM, Mass., Oct. 5 /PRNewswire/ --
"The acquisition of Ohloh demonstrates once more the growing value of data," said Stephen O'Grady, industry analyst with RedMonk. "With Ohloh's database, Black Duck can ease the friction of commercial adoption of open source technologies by commercial organizations and provide developers with more and better intelligence about open source project health. This is a win for the company and communities alike."
pr  BlackDuck  redmonkpressquotes  analytics  opensource 
october 2010 by cote
Data Cluster Meetup | blog.infochimps.org
This would be interesting to go to if you're remotely interested in analytics and cloud-scale applications. Big Data!
unconferences  via:twitter  sxswi  BigData  Austin  InfoChimps  analytics 
march 2010 by cote
On the Records: What the Big App-le Can Teach Us About Open Government
Doing the Big Data analytics thing requires governments to publish their data in something more programmer friendly than PDFs and database searches.
BigData  opendata  government  NYC  TexasTribune  cities  analytics 
january 2010 by cote
SAP - SAP Extends the Power of SAP® BusinessObjects™ Explorer to Tap into All Data
"Teradata and SAP are delivering the availability of an Intel-based Teradata blade architecture for running SAP NetWeaver® Business Warehouse Accelerator software as well as SAP Business Objects Explorer - which supports capabilities ranging from enterprise data warehousing persistence to in-memory acceleration and intuitive search and navigation. This will give Teradata and SAP customers the opportunity to standardize on a single hardware platform across their existing investments."
sapteched09  vienna  SAP  BigData  BI  analytics  BusinessObjects  Teradata 
october 2009 by cote
Drools - Business Logic integration Platform: The Secret Sauce
Brief overview of drools based rules engine that backs FedEx Custom Critical truck tracking.
rules  businessrules  drools  jboss  java  analytics  fedex  RIA 
october 2009 by cote
IBM System z - Solutions - Smart Analytics Cloud for System z
"First, the IBM Smart Analytics Cloud uses services to create a private cloud on System z behind the client's firewall, designed and optimized for business intelligence and analytics. This offering provides enterprise clients a business intelligence service that is powered by a cloud deployment for greater efficiency, using less money and resources. The private cloud -- supported by System z and Cognos -- allows businesses to access and analyze data from different sources through a simple, self-service model."
itmanagement  itmanagementguys  z  cloud  analytics  via:email  Cognos 
october 2009 by cote
Critter Defense Dataporn
Nice, easily understandable example of using "telemetry" in applications (here, an iPhone game) to feed into the development cycle. Now, imagine if you had this kind of data at your finger tips for all those boring enterprise apps you want to make better.
analytics  iPhone  games  devrel  telemetry  UX  usability 
august 2009 by cote
Twittruth Tells The Truth About How You Really Use Twitter
This looks like something I'd like. File it under the growing bucket called "personal analytics" that make up many constructive ways to waste your time.
twitter  via:twitter  analytics  personalanalytics 
july 2009 by cote
Complexity Kills - Control Software Structure
"Our core product, Structure101, exposes your software's structure simply and intuitively." Chris from Headway kindly contacted me about their dependency stuff.
dependency  software  analytics  briefings 
january 2007 by cote

Copy this bookmark:





to read