Tag: sap

Page from a handwritten ledger
Climate Confident

Unlocking the Power of Accurate ESG Data Measurement and Reporting: SAP’s Green Ledger
Page from a handwritten ledger

In the latest episode of the Climate Confident podcast, I had an incredible conversation with Bhushan Nigale, the Lead for SAP’s Sustainability Development Program. We delved deep into the significance of accurate Environmental, Social, and Governance (ESG) data measurement and reporting, and how SAP’s Green Ledger plays a pivotal role in this process.

Ever wondered why accurate ESG data measurement is so crucial? Well, imagine trying to navigate a stormy sea without a reliable compass. In much the same way, corporations without precise ESG metrics can quickly lose their way in the turbulence of today’s rapidly evolving business environment. Precise ESG data provides valuable insights that help organizations in making informed decisions, effectively managing risks, and identifying new opportunities for sustainable growth.

Bhushan, in our enlightening discussion, brilliantly highlighted how SAP’s Green Ledger is transforming the way companies handle ESG data. It is not just a tool; it’s an intelligent solution that provides an unprecedented level of transparency and trustworthiness to ESG data. By harnessing advanced technologies like AI, the Green Ledger ensures the veracity of ESG data, helping companies prove their genuine commitment to sustainability.

Another important aspect we touched on in the episode was the necessity of reliable ESG reporting. While ESG data measurement is a crucial step towards a more sustainable future, it’s the accurate and consistent reporting of this data that allows for global accountability. In the absence of proper reporting, even the most robust ESG strategies can lose their impact. SAP’s Green Ledger excels in this area too, assisting businesses in meeting the highest ESG reporting standards while driving them towards their sustainability goals.

SAP’s Green Ledger demonstrates an inspiring commitment to responsible business practices, providing a blueprint for others to follow. As we collectively strive towards a more sustainable future, platforms like this will continue to play an instrumental role. They aren’t merely tracking ESG metrics; they are powering our journey towards a greener, more resilient world.

I know I’ve just scratched the surface here. There’s so much more to learn about SAP’s Green Ledger and the broader importance of accurate ESG data measurement and reporting. So, why not delve a little deeper?

Listen to the episode here and join us as we navigate these critical conversations on the path to climate confidence. Remember, every step we take, no matter how small, brings us closer to a sustainable future. So let’s embark on this enlightening journey together.

Finally, if you value receiving weekly actionable insights on sustainability and climate, you can always sign up to be a Supporter of the podcast for less than the cost of a cup of coffee.

And remember, stay climate confident!

Photo credit davesandofrd on Flickr

Internet of Things (IoT)

Internet of Things, renewables and storage – a perfect storm for utilities’ digital transformation

Without doubt it is a time of great turbulence in the electric utilities space.

In most regions globally, wind and solar are now our cheapest sources of electricity generation, even without subsidies.

As a consequence of this, wind has overtaken nuclear, hydro and coal to become the second largest source of electricity generation in EU in 2016 [PDF]. And at the same time in the US, the solar market is smashing records and grew 95% in 2016 alone.

Then there is storage. Costs here have been tumbling too. So much so that Morgan Stanley predicts the storage market to grow from the roughly $400m in 2016, to a market size of $2-4bn by 2020. This will have big implications for utilities’ ability to add more variable generators (renewables) to their mix without destabilising the grid.

Speaking of grid stabilisation, the refrain up until now has been that for every MW of renewables built, a MW of gas had to also be built as a backstop (for days with no wind, or overcast days, or nights). However, this too has changed. Last August First Solar ran a tests with CAISO (the California grid operator) to test a solar farm’s ability to smooth out grid fluctuations. The results of the test demonstrated that solar farms are able to meet, and sometimes exceed, the frequency regulation response usually provided by natural-gas-fired peaker plants.

Things are changing on the consumption side of the house too.

solarinstall2016

Source: GTM Research / SEIA U.S. Solar Market Insight report

As can be seen from the chart above, installations of residential PV are rising, as is home storage, and another form of potential consumption and storage (v2g), the electric car, saw sales rise by 37% in the US in 2016.

Then there is the whole digitisation of the grid. Now all new equipment is being built with inbuilt ‘smarts’ and connectivity, and even older infrastructure can be retrofitted, so with the advent of the smart grid, we will finally have the possibility of the Electricity 2.0 vision I was talking up back in 2008/09. This is a smart grid where appliances in the commercial or residential worlds can ‘listen’ for pricing signals from the grid, and adjust their behaviour accordingly, taking in electricity when it is plentiful, and switching to alternative sources/lowering consumption when electricity is in high demand.

With the cost of generation dropping, with no end in sight, the cost of storage similarly falling, as I have posited previously, there is a strong possibility that utilities will have to switch to broadband-like ‘all-you-can-eat’ business models with the utilities differentiating, and making their revenue on added services.

Everything is changing for the electric utility industry – and so, against that backdrop, and the fact that I will be presenting on IoT and Utilities at the upcoming International SAP for Utilities Conference in Lisbon, I decided to have a chat with IDC Research Director Marcus Torchia, about the implications for utilities of these huge changes.

We had a great discussion, and many of the themes we touched on, I will be talking about at the Utilities event in Lisbon.

You can check out our chat in the video above, play it in the audio below, or listen to it on the IoT Heroes podcast site.

Internet of Things (IoT)

IoT, and the transition to the digital services economy discussion with Constellation’s Andy Mulholland

Over on the IoT Heroes podcast I recently had a chat with Constellation Research analyst Andy Mulholland. Before coming out of retirement to head up IoT research for Constellation, Andy was Global CTO for Cap Gemini, and so he knows a thing or two about IT!

Andy publishes extremely insightful articles on the Internet of Things regularly over on his blog, so I was keen to have him come on the show.

In the podcast we had a wide-ranging discussion on the implications for (primarily) manufacturing organisations of the Internet of things, the transition to the as-a-service economy, and how people can get up-to-speed on happenings in the IoT space.

If you have any interest at all in the Internet of Things, and how it will effect our society, you should check out this episode of the show – you can subscribe to the RSS feed, subscribe on iTunes, or simply click Play on the player below to hear our discussion

 

Photo credit Toyota UK

Internet of Things (IoT)

Free, open online course about the Internet of Things

SAP have just announced Imagine IoT – a free course on openSAP, SAP’s Enterprise MOOC (Massive Open Online Courses) learning platform.

Why is this important?

The Internet of Things is an incredibly nascent area. Today. But it is going to explode. Slowly at first, and then all at once, such that some day soon everything will be smart and connected.

Think back to the state of the Internet in 1994. Almost no-one had a website, or their own domain even. Most companies didn’t even have a company email address, never mind one per employee. That’s where the Internet of Things is today. Most devices, are dumb and not connected, but soon all devices will be connected, the same way everybody has an email address, and when they all start talking to one another, it will transform the world as we know it even more than the Internet has to-date.

Now you see why the Internet of Things is important. It is globally transformative. Now, if you want to learn a little about the technologies underpinning the IoT, this course could well be for you.

The course is open to all comers and in the course

you will learn the fundamentals of the Internet of Things (e.g., sensors, the cloud, and more) and be introduced to new interaction paradigms (augmented reality, wearables, and more) that are changing how we interact with the world around us. You will also learn how to design and create your own IoT prototype

At the end of the course there is a “prototyping challenge” where you submit the prototype you have designed and completed during the course for feedback from your peers. The prototypes will be voted on and the winning prototypes will be showcased, and get to choose how SAP donates $50,000 to charity.

The course consists of 3 weeks of lectures commencing on September 28th, followed by four weeks of the prototyping phase.

The course curriculum looks like this:

  • Week 1: Get to Know the Internet of Things
  • Week 2: Go Deeper into IoT with SAP
  • Week 3: Create Your First IoT Prototype
  • Week 4: Submit Your IoT Prototype
  • Week 5: Evaluate IoT Prototypes of Your Peers
  • Week 6: View Results of Your IoT Prototype
  • Week 7: Winners Announced

And the course doesn’t require any previous knowledge of coding (though, it probably wouldn’t hurt!).

I signed up for the course, and I’m looking forward to trying out some of the technologies that will be showcased.

Full disclosure – I work for SAP but I’d have blogged about a worthwhile initiative like this regardless given how important and pervasive the Internet of Things is going to become. Knowing how to work with IoT will be a hugely important skill.

Internet of Things (IoT)

Global Internet of Things Evangelist for SAP

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My SAP phone on my SAP laptop

I have been recruited into SAP in the role of Global Internet of Things Evangelist starting this month.

When I left RedMonk earlier this year, I mentioned that I was talking to a couple of people, but that there was still a window of opportunity for other companies to get in touch about my working for them. SAP, and a number of others, saw the post and got in touch.

It has been an exciting few months in the meantime. I’ve had fascinating discussions with lots of companies (including the CEO of a US electric car company who wanted me to move to Palo Alto to work for his organisation).

After weighing the various options though, I decided to accept SAP’s generous offer, for a number of reasons:

  • The Internet of Things is at its very inception – it is now where the Internet was in 1994 – back when organisations didn’t have websites or a company email address even. So there are going to be seismic changes in the workings of the IoT over the next few years. This ever changing landscape, and the incredible outcomes which will accrue, are what makes this topic fascinating for me.
    Also, when I worked on cleantech, it was an area which was very broad and cut across many verticals. IoT similarly crosses many verticals, so it maps very closely with what I’ve already been doing.
  • Then there is SAP – SAP is a large enterprise software company. SAP has in the region of 77k employees, and reported revenues in excess of €20bn in 2015. By any measure SAP is an enormous organisation. And I have only ever worked for very small companies, so why go for SAP?
    Well, that’s the point, isn’t it? Working for a small company it is very hard to make an impact, but when you are working for a company with hundreds of thousands of customers, if you make even a small difference, it can have really significant outcomes.
  • fullsizerender
    And then there’s the fact that we live in the city of Seville. It is a beautiful city, and my family and I love living here. SAP had no problem with me living in Seville and didn’t even think of asking me to move to Germany, to Palo Alto, or even require me to work out of the SAP Madrid office. This was a big factor inthe decision too.

So now that I have started, I am looking forward to getting to know all my SAP colleagues, helping craft SAP’s Internet of Things strategies, and showcasing all the seriously impressive IoT solutions that are possible with SAP’s software.

If you want to get in touch to know more, feel free to leave a comment here, DM me on Twitter, email me at tom.raftery at sap.com, or get me on my mobile +34 608 252 871

Featured Posts, Technology / Software

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

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.  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.

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

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Trends & Concepts

Technology for Good – episode thirty two with SAP’s Sameer Patel

Welcome to episode thirty two of the Technology for Good hangout. In this week’s episode we had SAP‘s Sameer Patel as the guest on our show. Sameer and I are members of the Enterprise Irregulars group – a loose group of analysts and vendors with an interest in enterprise software. Previous Enterprise Irregulars who have guested on the show include David Terrar, Craig Cmehil, and Jon Reed.

There was a problem which wasn’t apparent to us during the show and that was that the video from my side never showed up in the recording. I suspect that’s because I was using a beta version of Chrome, but anyway, the audio, and Sameer’s video feed was recorded, so all’s well.

This week we didn’t get through all the stories we had lined up, ‘cos we had such a good discussion around the ones we did manage to fit in!

Some of the more fascinating stories we looked at on the show, included the growing number of technology companies who are abandoning ALEC, IBM’s new concentrating solar array which can create clean water, as well as solar power, and a new smartphone app which will help visually challenged users to read.

Here is the full list of stories that we covered in this week’s show:

 

Climate

Renewables

Lighting

Transportation

Data Centres

Connectivity

Drones

Hardware

Apps

Education

(Cross-posted @ GreenMonk: the blog)

Featured Posts, Technology / Software

Big Data and analysis tools are facilitating huge advances in healthcare


SAP's Genomic Analyzer
As we noted recently here on GreenMonk, technology is revolutionising the healthcare industry, and the pace of change is astounding with new products and services being announced daily.

We were recently given a demonstration of two products currently being developed by SAP (Genomic Analyzer, and Medical Insights), and they are very impressive products.

The Genomic Analyzer (pictured above) can take large numbers of genomes and interrogate them for various traits. This may sound trivial, but this is a serious Big Data problem. In a talk at SAP’s Sapphirenow conference in June, Stanford’s Carlos Bustamante outlined the scale of the issue when he noted that in sample size of 2534 genomes takes up 1.2tb of RAM and consists of over 20bn records.

The industry standard for storing genomic data is in a variant call format (VCF) text file. This is then interrogated using either open source or some specialised commercial software analyse the genomic data. Researchers frequently have to write their own scripts to parse the data, and the parsing takes a considerable amount of time.

SAP's Genomic Analyzer results

On the other hand, SAP’s Genomic Analyzer, because it is based on SAP’s in-memory database technology, can take record sets of 2,500 genomes in its stride returning multi-variant results in seconds. This will allow previously impossible tests to be run on genomic datasets, which opens up the potential for disease biomarker identification, population genetics studies, and personalised medicine.

SAP are actively looking for research partners to work with them on the development of the Genomic Analyzer. Partners would typically be research institutions, and they would receive login access to the analyzer (it is cloud delivered), and the ability to create and run as many query sets as they wish.

SAP’s Medical Insights application again takes advantage of SAP’s Hana in-memory database to take in the vast swathes of medical data which would typically be housed in siloed data warehouses (EMR’s, scans, pathology reports, chemo info, radio info, biobank system, and so on). It can be used to quickly identify patients suitable for drug trials, for example or to surface new research when relevant to patients.

The medical Insights solution is currently being developed as part of a co-innovation project with a large cancer institute in Germany, but will ultimately be applicable to any hospital or medical institution with large disparate data banks it needs to consolidate and query.

SAP are far from alone in this field. As well as developing innovative medical applications themselves, many in their Startup Focus program are also furiously innovating in this field, as previously noted.

Outside of the SAP ecosystem, IBM’s Watson cognitive computing engine is also tackling important healthcare issues. And like SAP, IBM have turned Watson onto a platform, opening it up to external developers, crowdsourcing the innovation, to see what they will develop.

The main difference between IBM’s cognitive computing approach, and SAP’s Hana in-memory database is that Watson analyses and interprets the results on behalf of the researchers, whereas Hana delivers just the data, leaving the evaluation in the hands of the doctors.

And news out today shows that Google is launching its Google X project, Baseline Study so as not to be left out of the running in this space.

There’s still a lot of work to be done, but the advances these technologies are starting to unlock with change the healthcare industry irreversibly for the good.

(Cross-posted @ GreenMonk: the blog)

Featured Posts, Technology / Software

Technology in healthcare, a post-Sapphirenow update

As noted here recently, technology is completely revolutionising the healthcare industry.

And that was brought home to us forcefully when we attended SAP’s 2014 Sapphirenow conference last week. I had fifteen meetings scheduled at the event, and while there wasn’t much mention of healthcare during the keynotes, seven of my fifteen meetings were healthcare related. In previous Sapphirenow conferences, there might have been one.

The meetings were with a range of organisations. Some were larger organisations like MKI, Stanford University (specifically their Center for Computational, Evolutionary and Human Genomics (CEHG)), and unsurprisingly SAP. MKI talked about their use of HANA, R, and Hadoop for genomic analysis. Stanford’s Carlos Bustamante talked about the research being done by the CEHG, in conjunction with SAP, on understanding different genomes and their health-related phenotypic consequences, while SAP discussed their Care Circles initiative, as well as their Genome Sciences projects.

One interesting data point that emerged from Prof Bustamante was that one dataset of 2534 individual genomes contained in excess of 20 billion records and it consumed 1.2 terabytes of RAM. This is big data. Especially when you consider you are interrogating it against matrices of other data points (such as age, nationality, gender, etc.).

CoreyMobile screen

Three of the companies I met were part of the SAP Startup Focus program. This is a program aimed at start-up companies with offerings in the big data, realtime or predictive analytics spaces. The program helps them develop their product on SAP’s in-memory HANA database platform, and also helps them with go to market strategies.

The three healthcare startups were Convergence CT, Phemi, and Core Mobile. ConvergenceCT makes software for hospitals which can take in data from multiple data sources (EMR systems, labs, radiology, etc.) and produce insights via predictive analytics, and reporting dashboards. Phemi, similarly takes in healthcare info from the various disparate hospital data sources, and then has a number of apps sitting on top of the data delivering results and outcomes. While Core Mobile has mobile apps for doctors, patients, and carers to help optimise care processes, and share patient information with authorised recipients.

So lots of interesting things happening in this sector right now and much of the innovation is down to SAP’s decisions to 1) turn it’s HANA database into a platform, and 2) to initiate the Startup Focus program. Now that IBM is going the platform route with it’s Watson cognitive computing engine, we’re likely to see a lot of healthcare innovation emerging there too.

(Cross-posted @ GreenMonk: the blog)

Featured Posts, Technology / Software

Technology is completely revolutionising the healthcare industry

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.

 

(Cross-posted @ GreenMonk: the blog)