Turbotodd

Ruminations on tech, the digital media, and some golf thrown in for good measure.

Posts Tagged ‘ibm

IBM Reports 2018 Third-Quarter Results

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IBM today announced its 2018 third-quarter results, generating its best year-to-year gross margin performance in three years, which reflected the company’s move towards higher value businesses.

Highlights are as follows:

  • GAAP EPS from continuing operations of $2.94; Operating (non-GAAP) EPS of $3.42
  • Revenue of $18.8 billion, down 2 percent (flat adjusting for currency)
  • Strategic imperatives revenue of $39.5 billion over last 12 months, up 13 percent (up 11 percent adjusting for currency)
  • Cloud revenue of $19.0 billion over last 12 months, up 20 percent (up 18 percent adjusting for currency) 
  • As-a-service annual exit run rate for cloud revenue of $11.4 billion in the quarter, up 21 percent year to year (up 24 percent adjusting for currency)
  • Strong services gross profit margin expansion year to year
  • Maintains full-year operating (non-GAAP) EPS and free cash flow expectations

“IBM’s progress and momentum this year in the emerging, high-value segments of the IT industry are driven by our innovative technology, deep industry expertise and commitment to trust and security,” said Ginni Rometty, IBM chairman, president and chief executive officer.  “Our leadership in the technology and services that deliver hybrid cloud, AI, blockchain, analytics and security has helped drive our overall performance, and is helping our clients unleash the full business value of these innovations.”

Written by turbotodd

October 16, 2018 at 4:45 pm

IBM Announces 2Q18 Earnings, Revenue Up 4% YOY

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IBM announced its 2Q 2018 earnings a few moments ago.

Some highlights:

  • GAAP EPS from continuing operations of $2.61; Operating (non-GAAP) EPS of $3.08; both up 5 percent
  • GAAP Pre-tax income up 14 percent; Operating (non-GAAP) pre-tax income up 11 percent — Pre-tax margins expanded more than 100 basis points year to year
  • Revenue of $20.0 billion, up 4 percent (up 2 percent adjusting for currency)
  • Strategic imperatives revenue of $39.0 billion over last 12 months, up 15 percent (up 12 percent adjusting for currency); represents 48 percent of IBM revenue
  • Cloud revenue of $18.5 billion over last 12 months, up 23 percent (up 20 percent adjusting for currency)
  • As-a-service annual exit run rate for cloud revenue of $11.1 billion in the quarter, up 26 percent year to year (up 24 percent adjusting for currency)
  • Maintains full-year operating (non-GAAP) EPS and free cash flow expectations

“We delivered strong revenue and profit growth in the quarter, underscoring IBM’s progress and momentum in the emerging, high-value segments of the IT industry,” said Ginni Rometty, IBM chairman, president and chief executive officer. “More clients are engaging IBM on their journey to the cloud, and deploying IBM Cloud, Watson AI, analytics, blockchain and security solutions. This demonstrates IBM’s unique leadership in providing innovative technology coupled with deep industry expertise, trust and security.”

Written by turbotodd

July 18, 2018 at 3:52 pm

Posted in 2018, earnings, wall street

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IBM 1Q18 Earnings: EPS Beats @ $2.45

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IBM’s 1Q18 earnings were just announced, and beat estimates on EPS of $2.42 per share at $2.45, and revenue at $19.1 billion (vs. estimates of $18.84 billion).

CNBC’s report highlights:

Last quarter, IBM announced revenue growth from the year-ago quarter for the first time in more than five years. That streak is now continuing for a second quarter.

But the company reaffirmed its previous guidance of $13.80 in earnings per share, excluding certain items, for the full year of 2018, while analysts polled by FactSet had expected $13.83 per share, according to Thomson Reuters.

Cantor Fitzgerald analysts led by Joseph Foresi said in a Friday note that they expect IBM to report gains from companies upgrading to IBM’s latest mainframe computer, the z14.

IBM continues to seek growth from its strategic imperatives, which include social, mobile, analytics and cloud. In the fourth quarter that group contributed 49 percent of all revenue, and the Cantor analysts expect that balance to be unchanged in the first quarter.

With respect to guidance, for the second quarter analysts expect IBM to forecast $3.05 in earnings per share, excluding certain items, on $19.9 billion in revenue, according to Thomson Reuters.

Written by turbotodd

April 17, 2018 at 3:19 pm

Posted in 2018, earnings, ibm

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IBM Acquires Vivant Digital Business in Australia

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IBM today announced its intention to acquire Vivant Digital business (Vivant), a boutique digital and innovation agency based here. This acquisition extends the strategy and design expertise of IBM iX, one of the world’s largest digital agencies and global business design partners, with Vivant talent and expertise to accelerate clients’ digital transformations.

The CEO and founder of Vivant, Anthony Farah, will also take the role of Digital Strategy & iX Leader for IBM Australia and New Zealand.

With close to a decade of innovation consultancy experience, Vivant has established a strong reputation for its design philosophy and innovative approach, using insights from behavioral science, data and technology for Australian start-ups and corporates, primarily in the financial services and distribution industries.

Together IBM iX and Vivant, based in Sydney and Melbourne, will address the growing need of clients seeking transformation though innovative digital business models and bold customer experiences.

This adds to IBM acquisitions made during 2016 as it rapidly expands its iX global capabilities in strategic ways to better serve clients. From strategy and design to scalable digital, commerce and mobile, IBM iX’s team of specialists work side-by-side with clients across more than 36 global IBM Studios. Working at the intersection of strategy, creativity and technology, IBM iX helps clients digitally reinvent their businesses.

The acquisition is expected to close in the fourth quarter of 2017, subject to applicable regulatory review and customary closing conditions. Financial details were not disclosed.

Written by turbotodd

October 4, 2017 at 9:13 am

IBM and MIT to Pursue Joint Research in Artificial Intelligence

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IBM and MIT today announced that IBM plans to make a 10-year, $240 million investment to create the MIT–IBM Watson AI Lab in partnership with MIT. The lab will carry out fundamental artificial intelligence (AI) research and seek to propel scientific breakthroughs that unlock the potential of AI.

The collaboration aims to advance AI hardware, software and algorithms related to deep learning and other areas, increase AI’s impact on industries, such as health care and cybersecurity, and explore the economic and ethical implications of AI on society. IBM’s $240 million investment in the lab will support research by IBM and MIT scientists.

The new lab will be one of the largest long-term university-industry AI collaborations to date, mobilizing the talent of more than 100 AI scientists, professors, and students to pursue joint research at IBM’s Research Lab in Cambridge — co-located with the IBM Watson Health and IBM Security headquarters in Kendall Square, in Cambridge, Massachusetts — and on the neighboring MIT campus.

The lab will be co-chaired by IBM Research VP of AI and IBM Q, Dario Gil, and Anantha P. Chandrakasan, dean of MIT’s School of Engineering. IBM and MIT plan to issue a call for proposals to MIT researchers and IBM scientists to submit their ideas for joint research to push the boundaries in AI science and technology in several areas, including:

  • AI algorithms: Developing advanced algorithms to expand capabilities in machine learning and reasoning. Researchers will create AI systems that move beyond specialized tasks to tackle more complex problems, and benefit from robust, continuous learning. Researchers will invent new algorithms that can not only leverage big data when available, but also learn from limited data to augment human intelligence.
  • Physics of AI: Investigating new AI hardware materials, devices, and architectures that will support future analog computational approaches to AI model training and deployment, as well as the intersection of quantum computing and machine learning. The latter involves using AI to help characterize and improve quantum devices, and also researching the use of quantum computing to optimize and speed up machine-learning algorithms and other AI applications.
  • Application of AI to industries: Given its location in IBM Watson Health and IBM Security headquarters and Kendall Square, a global hub of biomedical innovation, the lab will develop new applications of AI for professional use, including fields such as health care and cybersecurity. The collaboration will explore the use of AI in areas such as the security and privacy of medical data, personalization of healthcare, image analysis, and the optimum treatment paths for specific patients.
  • Advancing shared prosperity through AI: The MIT-IBM Watson AI Lab will explore how AI can deliver economic and societal benefits to a broader range of people, nations, and enterprises. The lab will study the economic implications of AI and investigate how AI can improve prosperity and help individuals achieve more in their lives.

In addition to IBM’s plan to produce innovations that advance the frontiers of AI, a distinct objective of the new lab is to encourage MIT faculty and students to launch companies that will focus on commercializing AI inventions and technologies that are developed at the lab. The lab’s scientists also will publish their work, contribute to the release of open source material, and foster an adherence to the ethical application of AI.

Both MIT and IBM have been pioneers in artificial intelligence research, and the new AI lab builds on a decades-long research relationship between the two. In 2016, IBM Research announced a multi-year collaboration with MIT’s Department of Brain and Cognitive Sciences to advance the scientific field of machine vision, a core aspect of artificial intelligence.

The collaboration has brought together leading brain, cognitive, and computer scientists to conduct research in the field of unsupervised machine understanding of audio-visual streams of data, using insights from next-generation models of the brain to inform advances in machine vision. In addition, IBM and the Broad Institute of MIT and Harvard have established a five-year, $50 million research collaboration on AI and Genomics.

For more information, visit MITIBMWatsonAILab.mit.edu.

Written by turbotodd

September 7, 2017 at 9:09 am

IBM Partners To Study Body Bacteria and Autoimmune Diseases

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The general public’s help is being enlisted in what’s thought to be the biggest study of the human microbiome—the bacteria that live in and on the human body – and is believed to affect health.

The Microbiome Immunity Project is a new, IBM-facilitated (NYSE: IBM) citizen science project by scientists from the Broad Institute of MIT and Harvard, Massachusetts General Hospital, University of California San Diego, and the Simons Foundation’s Flatiron Institute.

It will use the surplus processing power on volunteers’ computers to conduct millions of virtual experiments on behalf of the researchers. These experiments aim to map the three million bacterial genes found in the human microbiome and predict the structure of their associated proteins. The project will begin with the analysis of the microbiome in the digestive system.

This study aims to help scientists better understand the microbiome’s interaction with human biochemistry and determine how that interaction may contribute to autoimmune diseases such as Type 1 diabetes, Crohn’s disease, and ulcerative colitis—illnesses that affect hundreds of millions of people worldwide, and that are being diagnosed with increasing frequency. With better understanding, scientists might be able to more easily prevent and treat these diseases.

Because studying the entire human microbiome would be almost impossible with traditional methods, massive supercomputing processing power is being crowdsourced via IBM’s World Community Grid.

Anyone in the world can help by simply volunteering to provide compute power. Here’s how it works: People download a secure software program that automatically detects when a computer can offer spare processing power, then taps it to run virtual experiments on behalf of researchers.

The resulting data from millions of these experiments will be analyzed by the project’s research team. The researchers will make that data publicly available to other scientists, accelerating the advancement of scientific knowledge –and ultimately improved treatments –of autoimmune diseases.

Anyone with a computer and an internet connection can join World Community Grid and sign up to support the Microbiome Immunity Project.

Since its founding in 2004, World Community Grid has supported 29 research projects in areas such as cancer, HIV/AIDS, Zika, clean water, renewable energy and other humanitarian challenges.

To date, World Community Grid, hosted by IBM Cloud, has connected researchers to $500 million U.S. dollars’ worth of free supercomputing power. More than 730,000 individuals and 430 institutions from 80 countries have donated more than one million years of computing time from more than three million computers and Android devices.

Volunteer participation has helped researchers to identify potential treatments for childhood cancer, more efficient solar cells, and more efficient water filtration.

To learn more about World Community Grid and volunteer to contribute your unused computing power, please visit https://www.worldcommunitygrid.org/


Todd "Turbo" Watson
Twitter:@turbotodd
Blog: www.turbotodd.com
Email: toddhttp://about.me/toddwatson

Written by turbotodd

August 23, 2017 at 9:34 am

Posted in 2017, ibm cloud, world community grid

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JDRF and IBM Collaborate to Research Risk Factors for Type 1 Diabetes in Children

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IBM and JDRF, the leading global organization funding type 1 diabetes (T1D) research, today announced a new collaboration to develop and apply machine learning methods to analyze years of global T1D research data and identify factors leading to the onset of T1D in children.

T1D affects approximately 1.25 million Americans, and it currently does not have a cure. This research collaboration is expected to create an entry point for T1D in the field of precision medicine, by combining JDRF’s connections to research teams around the globe and its subject matter expertise in T1D research with the technical capability and computing power of IBM.

“At JDRF, we are absolutely committed to seeing a world without type 1 diabetes, and with this partnership, we’re adding some of the most advanced computing power in the world to our mission,” said Derek Rapp, JDRF President and CEO.

“JDRF supports researchers all over the world, but never before have we been able to analyze their data comprehensively, in a way that can tell us why some children who are at risk get T1D and others do not. IBM’s analysis of the existing data could open the door to understanding the risk factors of T1D in a whole new way, and to one day finding a way to prevent T1D altogether.”

IBM scientists will look across at least three different data sets and apply machine learning algorithms to help find patterns and factors at play, with the goal of identifying ways that could delay or prevent T1D in children. In order to match variables and data formats and compare the differing data sets, the scientists plan to leverage previously collected data from global research projects.

Data analysis will explore the inclusion of genetic, familial, autoantibody and other variables to create a foundational set of features that is common to all data sets. The models that will be produced will quantify the risk for T1D from the combined dataset using this foundational set of features. As a result, JDRF will be in a better position to identify top predictive risk factors for T1D, cluster patients based on top risk factors, and explore a number of data-driven models for predicting onset.

“Nearly 40,000 new cases of type 1 diabetes will be diagnosed in the U.S. this year. And each new patient creates new records and new data points that, if leveraged, could provide additional understanding of the disease,” says Jianying Hu, Senior Manager and Program Director, Center for Computational Health at IBM Research. “The deep expertise our team has in artificial intelligence applied to healthcare data makes us uniquely positioned to help JDRF unlock the insights hidden in this massive data set and advance the field of precision medicine towards the prevention and management of diabetes.”

Future phases of the collaboration may consist of furthering the analysis of big data toward the goal of better understanding causes of T1D. They may also consist of analyzing more complex datasets, such as microbiome and genomics or transcriptomics data. Finally, but no less importantly, the knowledge gained through these efforts could also help JDRF in its pursuit of a cure for people with T1D.

Written by turbotodd

August 18, 2017 at 10:39 am

Posted in diabetes, healthcare, ibm

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