IBM launches unified data analytics system, promises machine learning for all

Big Blue analytics boss wants to automate, automate, then automate some more

IBM has announced a unified analytics system that allows data scientists to work across multiple data stores in ways the company said should eliminate time-consuming data integration and preparation.

The Integrated Analytics System, launched at the Strata Data Conference in New York, aims to let data scientists develop and deploy models wherever data resides.

Rob Thomas, general manager for IBM Analytics, said he has “declared that machine learning will be a part of everything we deliver”.

This means aiming to automate IT processes across the board - whether that’s the process of matching data or of moving it.

“We want to change the jobs of IT professionals,” he told The Register. “That’s different from eliminating them. We don’t think a data steward should have to spend their time matching data sets; they should be focused on getting the value out of those datasets.”

He acknowledged that achieving complete automation is a “long way” off, but thought they could reach the halfway point fairly soon.

“We have around five per cent of automation [now], and that’s not enough - it creates too much manual effort. I want to get to, in the next year, automating 50 per cent of the process - that would be a major change in terms of time to value.”

Lowering barriers to entry

The Integrated Analytics System's contribution to that ambition starts with the IBM common SQL engine and allows users to move workloads across data stores. Data in public, private or hybrid clouds will all appear to be resident on a single system.

“Right now, we need massive data integration and data preparation,” Thomas said. “That sucks up 80 per cent of the time - we’ve eliminated that.”

Once the data is in place, the Apache Spark implementation embedded in IBM’s Data Science Experience and Spark lets scientists crack on with running and training models.

“Basically, you take the learning curve down dramatically,” Thomas said.

“The number one difference is implying the otherwise complicated problem of having to build a data warehouse, bring data together, ETL, clean the data, choose the data science tool … we’ve integrated all that.”

The system also allows data scientists to collaborate, even if they use different programming languages. “The data science world at the moment is fragmented: the old world, which is people building in SAS, and the new world, with open languages like Java. But this environment is collaborative, so you can [share code with] your teammates.”

The data science framework for the new system began with open-source Apache Jupyter, Thomas said. Watson's come along for the ride, too.

Thomas added that clients can run the lot as a containers orchestrated by Kubernetes. “We have IBM cloud private, which is based on Kubernetes,” he said.

“We’ve made it simple to get started with data science here, but when you think about expanding this to the enterprise, the fact it plugs right into Kubernetes fabric makes it easy to use it in a different system.”

IBM is also planning to help boost its customers interest - and expertise - in machine learning with what Thomas describes as a “data science elite team” comprised of IBM staffers who will work on-site to impart their machine learning skills.

“I think of it as a player-coach role,” Thomas said. “They help them get going, and then over time act more as a coach because [the company has] built up the skills.”

Big Blue started to form the team in July. More details on the programme will emerge in November. ®

Broader topics

Other stories you might like

  • AMD claims its GPUs beat Nvidia on performance per dollar
    * Terms, conditions, hardware specs and software may vary – a lot

    As a slowdown in PC sales brings down prices for graphics cards, AMD is hoping to win over the market's remaining buyers with a bold, new claim that its latest Radeon cards provide better performance for the dollar than Nvidia's most recent GeForce cards.

    In an image tweeted Monday by AMD's top gaming executive, the chip designer claims its lineup of Radeon RX 6000 cards provide better performance per dollar than competing ones from Nvidia, with all but two of the ten cards listed offering advantages in the double-digit percentages. AMD also claims to provide better performance for the power required by each card in all but two of the cards.

    Continue reading
  • Google opens the pod doors on Bay View campus
    A futuristic design won't make people want to come back – just ask Apple

    After nearly a decade of planning and five years of construction, Google is cutting the ribbon on its Bay View campus, the first that Google itself designed.

    The Bay View campus in Mountain View – slated to open this week – consists of two office buildings (one of which, Charleston East, is still under construction), 20 acres of open space, a 1,000-person event center and 240 short-term accommodations for Google employees. The search giant said the buildings at Bay View total 1.1 million square feet. For reference, that's less than half the size of Apple's spaceship. 

    The roofs on the two main buildings, which look like pavilions roofed in sails, were designed that way for a purpose: They're a network of 90,000 scale-like solar panels nicknamed "dragonscales" for their layout and shimmer. By scaling the tiles, Google said the design minimises damage from wind, rain and snow, and the sloped pavilion-like roof improves solar capture by adding additional curves in the roof. 

    Continue reading
  • Pentester pops open Tesla Model 3 using low-cost Bluetooth module
    Anything that uses proximity-based BLE is vulnerable, claim researchers

    Tesla Model 3 and Y owners, beware: the passive entry feature on your vehicle could potentially be fooled by a new form of relay attack.

    Discovered and tested by researchers at NCC Group, the attack allows anyone with a tool similar to NCC's to relay the Bluetooth Low Energy (BLE) signal from a smartphone that has been paired with a Tesla back to the vehicle. Far from simply unlocking the door, the hack lets the attacker start the car and drive away too.

    In its testing, NCC Group said it was able to perform a relay attack that allowed researchers to open a Tesla Model 3 from a home in which the vehicle's paired device was located (on the other side of the house), approximately 25 meters away.

    Continue reading

Biting the hand that feeds IT © 1998–2022