0
Will there ever be a technology that can fix decades of poor data hygiene? Probably not, but that isn’t going to stop technology vendors from trying. The good news: Machine learning may come closest to saving your data management hide.
Know this: Every technology vendor you have will have some spin on this data abstraction layer to pitch AI and analytics. Also know this: You’ll listen since your data hygiene has been terrible and you need a bail out.
Salesforce at its Dreamforce powwow preached the democratization of artificial intelligence and analytics. Salesforce’s Einstein platform will provide a bevy of insights. Data hygiene presumably won’t be a problem since the enterprises that go with Einstein have most of their data with Salesforce.
Data science: Feeding the all-seeing beast | ZDNet Academy: Introduction To Data Science: Lifetime Access
And Salesforce isn’t alone. One argument for the cloud is that data can be standardized and live on one platform and data model. Substitute Oracle, SAP and Workday for Salesforce and the concept is basically the same. Microsoft has its Common Data Platform. In the end, the subtext is the same: Dear enterprise put all of your data with us.
I noted how the Internet of things and cloud muddy the data ownership waters a few weeks ago. Now it’s worth pondering what vendors will own your queries. IBM is betting that its open strategy will win the day and be that abstraction layer to multiple data stores (with cleansing on the fly). Toss Tableau in the mix to own your queries. We’ll see. The only certainty is that data hygiene will be an ongoing issue that scales.
ZDNet’s Monday Morning Opener
The Monday Morning Opener is our opening salvo for the week in tech. Since we run a global site, this editorial publishes on Monday at 8:00am AEST in Sydney, Australia, which is 6:00pm Eastern Time on Sunday in the US. It is written by a member of ZDNet’s global editorial board, which is comprised of our lead editors across Asia, Australia, Europe, and the US.
Previously on Monday Morning Opener:
After the iPhone X: Predicting the future of the smartphoneBusinesses need to think about a public cyber star ratingWhy CIOs have bigger IT budgets for 2018, and what they’re buyingiPhone X: Sorry Apple, but I just can’t face using Face IDFar from deja vu, Google yet again repeating historyIt’s now or never for wireless chargingIBM’s Watson Data Platform aims to become data science operating systemBeyond the iPhone: How Apple is positioning itself for the next big thingBig data and digital transformation: How one enables the otherAmazon doesn’t sweat competitors, but every other company needs to answer the Amazon questionChromebooks will not move into business if they cannot be boughtThe real success of AI will only come with treating workers wellPublic cloud, private cloud, or hybrid cloud: What’s the difference?
More:
Inside the black box: Understanding AI decision-makingInfographic: 50 percent of companies plan to use AI soon, but haven’t worked out the details yetFive ways your company can get started implementing AI and MLWhy AI and machine learning need to be part of your digital transformation plans
Related Topics:
Data Management
Digital Transformation
Robotics
Internet of Things
Innovation
Enterprise Software
0