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IBM acquires Weather.com for Cloud, AI (aaS), and IoT

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Raindrops keep falling...

IBM has announced the completion of the acquisition The Weather Company’s B2B, mobile and cloud-based web-properties, weather.com, Weather Underground, The Weather Company brand and WSI, its global business-to-business brand.
Weather Channel screenshot
At first blush this may not seem like an obvious pairing, but the Weather Company’s products are not just their free apps for your smartphone, they have specialised products for the media industry, the insurance industry, energy and utilities, government, and even retail. All of these verticals would be traditional IBM customers.

Then when you factor in that the Weather Company’s cloud platform takes in over 100 Gbytes per day of information from 2.2 billion weather forecast locations and produces over 300 Gbytes of added products for its customers, it quickly becomes obvious that the Weather Company’s platform is highly optimised for Big Data, and the internet of Things.

This platform will now serve as a backbone for IBM’s Watson IoT.

Watson you will remember, is IBM’s natural language processing and machine learning platform which famously took on and beat two former champions on the quiz show Jeopardy. Since then, IBM have opened up APIs to Watson, to allow developers add cognitive computing features to their apps, and more recently IBM announced Watson IoT Cloud “to extend the power of cognitive computing to the billions of connected devices, sensors and systems that comprise the IoT”.

Given Watson’s relentless moves to cloud and IoT, this acquisition starts to make a lot of sense.

IBM further announced that it will use its network of cloud data centres to expand Weather.com into five new markets including China, India, Brazil, Mexico and Japan, “with the goal of increasing its global user base by hundreds of millions over the next three years”.

With Watson’s deep learning abilities, and all that weather data, one wonders if IBM will be in a position to help scientists researching climate change. At the very least it will help the rest of us be prepared for its consequences.

New developments in AI and deep learning are being announced virtually weekly now by Microsoft, Google and Facebook, amongst others. This is a space which it is safe to say, will completely transform how we interact with computers and data.

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Technology is moving us, finally, towards the vision of personalised medicine

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We attended this year’s SapphireNow event (SAP’s customer and partner conference) in Orlando and were very impressed with some of the advances SAP and their ecosystem are making in the field of healthcare.

Why is this important?

Healthcare for many decades now has been stagnant when it comes to technological disruption. Go to most hospitals today and you will still see doctors using paper and clipboards for their patient notes. Don’t just take our word for it, in her highly anticipated 2015 Internet Trends report Mary Meeker clearly identified that the impact of the Internet on healthcare is far behind most other sectors.

But this is changing, and changing rapidly. The changes coming to the healthcare sector will be profound, and will happen faster than anyone is prepared for.

DNA sequencing cost per genome

And one of the main catalysts of this change has been the collapse in the cost of gene sequencing in the last ten years. See that collapse charted in the graph to the right. And note that the y-axis showing the cost of sequencing is using a logarithmic scale. The costs of sequencing are falling far faster than the price of the processing power required to analyse the genetic data. This means the cost of sequencing is now more influenced by the cost of data analysis, than data collection. This has been a remarkable turn of events, especially given the first human genome was only published fourteen years ago, in 2001.

The advances in the data analytics picking up pace too. In memory databases, such as SAP’s HANA, and cognitive computing using devices like IBM’s Watson, are contributing enormously to this.

To get an idea just how much the analytics is advancing, watch the analysis of data from 100,000 patients by Prof Christof von Kalle, director of Heidelberg’s National Center for Tumor Diseases in the video below. Keep in mind that each of the 100,000 patients has 3bn base pairs in their genome, and he’s analysing them in realtime (Prof Von Kalle’s demo starts at 1:00:03 in the video, and lasts a little over 5 minutes).

As he says at the conclusion, two years ago a similar study conducted over several years by teams of scientists was published as a paper in the journal Nature. That’s an incredible rate of change.

IBM are also making huge advances in this field with their cognitive computing engine, Watson. In a recent announcement, IBM detailed how they have teamed up with fourteen North American cancer institutes to analyse the DNA of their patients to gain insights into the cancers involved, and to speed up the era of personalised medicine.

Personalised medicine is where a patient’s DNA is sequenced, as is the DNA of their tumour (in the case of cancer), and an individualised treatment, specific to the genotype of their cancer is designed and applied.

This differs from the precision medicine offerings being offered today by Molecular Health, and discussed by Dr Alexander Picker in the video at the top of this post.

Precision medicine is where existing treatments are analysed to see which is best equipped to tackle a patient’s tumour, given their genotype, and the genotype of their cancer. One thing I learned from talking to Dr Picker at Sapphirenow is that cancers used to be classified by their morphology (lung cancer, liver cancer, skin cancer, etc.) and treated accordingly. Now, cancers are starting to be classified according to their genotype, not their morphology, and tackling cancers this way is a far more effective form of therapy.

Finally, SAP and IBM are far from being alone in this space. Google, Microsoft and Apple are also starting to look seriously at this health.

With all this effort being pored into this personalised medicine, I think it is safe to say Ms. Meeker’s 2016 slide featuring health will look a little different.

UPDATE – Since publishing this post SAP have uploaded a video to YouTube showcasing their internal application of Molecular Health’s solution for employees of SAP who are diagnosed with cancer. You can see that below:

Full disclosure – SAP paid my travel and accommodation to attend their Sapphirenow event

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Technology is completely revolutionising the healthcare industry

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Healthcare is changing. Recent advances in technology are completely revolutionising how we approach the prevention, diagnosis and treatment of illness. And this is just the beginning of what will be a technological revolution in healthcare.

Smartphone use is growing at an enormous pace. They now account for 87% of the total mobile handsets in the US, for example. And with the smartphones has come hundreds of new apps related to health and fitness. These apps do everything from monitoring sleep and movement (steps), to keeping track of glucose levels, blood oxygen, and even ovulation.

Fitbit Dashboard

The relentless rise of wearable connected devices is also having a big effect on people tacking their health and fitness. These small devices (such as the Fitbit Force, the Jawbone Up, and the Withings Pulse) are light and easy to wear, and they communicate with apps on the smartphone to monitor and record health-related information.

The next evolution of wearables, where they are built-in to the clothes you wear, has already begun. If these devices become as ubiquitous as smartphones, they will help us make far better informed decisions about our health and fitness.

Then you have major players like Apple going on a hiring spree of medical technology executives to bolster its coming Healthbook application, as well as its rumoured iWatch wearable device. Samsung too have wearable fitness trackers and announced their own Healthcare platform “to track your every move” today.

Going further back the stack, and we see IBM using its artificial intelligence play Watson to make inroads into the health industry (see video above). IBM has been partnering with WellPoint Inc. and Memorial Sloan-Kettering Cancer Center to help clinicians better diagnose instances of cancer in patients.

And more recently IBM has announced that it is working with New York Genome Center to create a prototype that could suggest personalised treatment options for patients with glioblastoma, an aggressive brain cancer. From the announcement:

By analyzing gene sequence variations between normal and cancerous biopsies of brain tumors, Watson will then be used to review medical literature and clinical records to help clinicians consider a variety treatments options tailored to an individual’s specific type and personalized instance of the cancer.

And IBM aren’t stopping there. They announced last month that they were opening up Watson as a platform so developers can create apps that can utilise Watson’s cognitive computing engine to solve all kinds of difficult problems. And earlier this month IBM announced that several “powered by Watson” apps have been developed, including one to help dermatologists better diagnose skin cancer.

And IBM also announced the acquisition of Cognea. Cognea offers virtual assistants that relate to people using a wide variety of personalities—from suit-and-tie formal to kid-next-door friendly – think Siri, or better yet Cortana for Watson!

Then, newer in-memory database technologies such as SAP’s HANA, are being used to crunch through datasets so large they were previously to big to query. For example, SAP announced today a partnership with the Stanford School of Medicine to “achieve a better understanding of global human genome variation and its implications in disease, particularly cardiovascular disease”. From the release SAP goes on to say:

Researchers have already leveraged SAP HANA to corroborate the results of a study that discovered that the genetic risk of Type II Diabetes varies between populations. The study looked at 12 genetic variants previously associated with Type II Diabetes across 49 individuals. With SAP HANA, researchers in Dr. Butte’s lab were able to simultaneously query all 125 genetic variants previously associated with Type II Diabetes across 629 individuals. Using traditional methods, this analysis on this amount of data would have taken an unreasonable amount of time.

So, the changes which technology are bringing to the healthcare industry now are nothing short of revolutionary. And with the likes of SAP’s HANA, and IBM’s Watson, set up as platforms for 3rd party developers, the stage is set for far more innovation in the coming months and years. Exciting times for healthcare practitioners, patients and patients to-be.

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Technology for Good – episode nine

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Welcome to episode nine of the Technology for Good hangout. In this week’s show we had special guest John Clark, Worldwide Manager of Smart Buildings for IBM. Given the week that was in it with Google’s announcement of Android Wear, and Twitter’s eighth birthday, there were plenty of stories about social networks, and wearable devices.

Here’s the stories that we discussed in the show:

Climate

Wearables

Health

Open Source

Twitter

Internet of Things

Misc