Archivo de la categoría: Artificial intelligence

AI, Artificial intelligence, Machine learning, News & Analysis, Twitter

Twitter acquires machine learning start-up Magic Pony

Twitter has stepped up its efforts in the machine learning arena after announcing the acquisition of visual processing technology company Magic Pony.

While the company claims machine learning is central to the brands capabilities, it has been relatively quiet in the market segment in comparison to industry heavy weights such as IBM, Google and Microsoft. This is the third acquisition the team has made in this area, reported to be in the range of $150 million, following the purchase of Whetlab last year and Mad Bits in 2014, compared to Google who acquired Jetpac, Dark Blue Labs and Vision Factory, as well as $500 million on DeepMind, all in 2014.

“Machine learning is increasingly at the core of everything we build at Twitter,” said Jack Dorsey, Twitter CEO. “Magic Pony’s machine learning technology will help us build strength into our deep learning teams with world-class talent, so Twitter can continue to be the best place to see what’s happening and why it matters, first. We value deep learning research to help make our world better, and we will keep doing our part to share our work and learnings with the community.”

The acquisition follows Twitter’s announcement last week advertisers will now be able to utilize emoji keyword targeting for Twitter Ads. Although a simple proposition in the first instance, the new features did open up the opportunity for machine learning enhanced advertising solutions.

Magic Pony, which was founded in 2014 and currently has 11 employees, was acquired to bolster the visual experiences that are delivered across Twitter apps. The team will link up with Twitter Cortex, the in-house machine learning department, to improve image processing expertise.

The technology itself makes use of the abilities of convolutional neural networks to scale-out an image. By taking the information in a picture, the technology imagines a larger and more in-depth image by scaling out the detail which it sees. Much in the same way a human can imagine the rest of a car by seeing the door, the technology learns lessons from previous experiences and applies logical decisions moving forward.

Magic Pony itself was initially supported by investment from Octopus Ventures who have seemingly found a specialty in finding promising AI start-ups. Prior to Magic Pony being acquired by Twitter, Octopus Ventures invested it Evi which was acquired by Amazon in 2012, and SwiftKey which was acquired by Microsoft this year.

“Today marks a great day for the Magic Pony team,” said Luke Hakes, Investment Director at Octopus Ventures. “We’re proud to have believed in the concept early on and to then have had the privilege of joining their journey. The technology Magic Pony has developed is revolutionary and pushes the boundaries of what is possible with AI in the video space.

“The UK continues to grow as the ‘go-to’ place for companies looking to build best in breed AI technology – Octopus has been fortunate to work with the founders of three companies in this space that have gone on to be acquired, with Evi and Amazon, SwiftKey and Microsoft, and now Magic Pony and Twitter. We are excited for the Magic Pony team, but also to take what we have learnt on the last three journeys and help the next generation of entrepreneurs lead the way in the on-going AI revolution.”

AI, Artificial intelligence, Google, Machine learning, Microsoft, News & Analysis, Twitter

Machine learning front and centre of R&D for Microsoft and Google

Dear Future Im Ready, message on paper, smart phone and coffee on tableMicrosoft and Google have announced plans to expand their machine learning capabilities, through acquisition and new research offices respectively, reports Telecoms.com.

Building on the ‘Conversation-as-a-Platform’ proposition put forward by CEO Satya Nadella at Build 2016, the Microsoft team has announced plans to acquire Wand Labs. The purchase will add weight to the ‘Conversation-as-a-Platform’ strategy, as well as supporting innovation ambitions for Bing intelligence.

“Wand Labs’ technology and talent will strengthen our position in the emerging era of conversational intelligence, where we bring together the power of human language with advanced machine intelligence,” said David Ku, Corporate Vice President of the Information Platform Group on the company’s official blog. “It builds on and extends the power of the Bing, Microsoft Azure, Office 365 and Windows platforms to empower developers everywhere.”

More specifically, Wand Labs adds expertise in semantic ontologies, services mapping, third-party developer integration and conversational interfaces, to the Microsoft engineering team. The ambition of the overarching project is to make the customers experience more seamless by harnessing human language in an artificial environment.

Microsoft’s move into the world of artificial intelligence and machine learning has not been a smooth ride to date, though this has not seemed to hinder investment. Back in March, the company’s AI inspired Twitter account Tay went into melt-down mode, though the team pushed forward, updating its Cortana Intelligence Suite and releasing its Skype Bot Platform. Nadella has repeatedly highlighted artificial intelligence and machine learning is the future for the company, stating at Build 2016:

“As an industry, we are on the cusp of a new frontier that pairs the power of natural human language with advanced machine intelligence. At Microsoft, we call this Conversation-as-a-Platform, and it builds on and extends the power of the Microsoft Azure, Office 365 and Windows platforms to empower developers everywhere.”

Google’s efforts in the machine learning world have also been pushed forward this week, as the team announced dedicated machine learning research based in the Zurich offices, on its blog. The team will focus on three areas specifically, machine intelligence, natural language processing & understanding, as well as machine perception.

Like Microsoft, Google has prioritized artificial intelligence and machine learning, though both companies will be playing catch-up with the likes of IBM and AWS, whose AI propositions have been in the market for some time. Back in April, Google CEO Sundar Pichai said in the company’s earnings call “overall, I do think in the long run, I think we will evolve in computing from a mobile first to an AI first world,” outlining the ambitions of the team.

Google itself already has a number of machine learning capabilities incorporated in its product portfolio, those these could be considered as relatively rudimentary. Translate, Photo Search and SmartReply for Inbox already contains aspects of machine learning, though the team are targeting more complex and accurate competencies.

Elsewhere, Twitter has announced on their blog advertisers will now be able to utilize emoji keyword targeting for Twitter Ads. This new feature uses emoji activity as a signal of a person’s mood or mind set, allowing advertisers to more effectively communicate marketing messages minimizing the potential for backlash of disgruntled twitter users. Although the blog does not state the use of machine learning competencies, it does leave the opportunity for future innovation in the area.

AI, Artificial intelligence, IBM, Machine learning, News & Analysis, The Weather Company

IBM launches weather predictor Deep Thunder for The Weather Company

cloud storm rainIBM’s Weather Company has announced the launch of Deep Thunder to help companies predict the actual impact of various weather conditions.

By combining hyper-local, short-term custom forecasts developed by IBM Research with The Weather Company’s global forecast model the team hope to improve the accuracy of weather forecasting. Deep Thunder will lean on the capabilities of IBM’s machine learning technologies to aggregate a variety of historical data sets and future forecasts to provide fresh new guidance every three hours.

“The Weather Company has relentlessly focused on mapping the atmosphere, while IBM Research has pioneered the development of techniques to capture very small scale features to boost accuracy at the hyper local level for critical decision making,” said Mary Glackin, Head of Science & Forecast Operations for The Weather Company. “The new combined forecasting model we are introducing today will provide an ideal platform to advance our signature services – understanding the impacts of weather and identifying recommended actions for all kinds of businesses and industry applications.”

The platform itself will combine more than 100 terabytes of third-party data daily, as well as data collected from the company’s 195,000 personal weather stations. The offering can be customized to suit the location of various businesses, with IBM execs claiming hyper-local forecasts can be reduced to between a 0.2 to 1.2 mile resolution, while also taking into account other factors for the locality such as vegetation and soil conditions.

Applications for the new proposition can vary from the agriculture to city planning & maintenance to validating insurance claims, however IBM has also stated consumer influences can also be programmed into the platform, meaning retailers could manage their supply chains and understand what should be stocked on shelves with the insight.

Apache Spark, Artificial intelligence, Big Data, Cortana, Micrsoft Azure, News & Analysis

Microsoft launches Spark for Azure HDInsight and pushes into consumer AI

CortanaAlmost 12 months after releasing the public preview of Spark for Azure HDInsight Microsoft has announced general availability of the proposition to the industry, as well as extending Cortana’s offering to the Xbox.

Making the announcement on the Azure blog, Oliver Chiu, Product Marketing Manager for Hadoop/Big Data and Data Warehousing, outlined the improvements made on the offering as well as the company’s efforts to make big data easy and more approachable. The company claims the Hadoop and Spark cloud service is now an enterprise-ready solution which is fully managed, secured, and highly available.

“Since we announced the public preview, Spark for HDInsight has gained rapid adoption and is now 50% of all new HDInsight clusters deployed,” said Chiu. “With GA (General Availability), we are revealing improvements we’ve made to the service to make Spark hardened for the enterprise and easy for your users. This includes improvements to the availability, scalability, and productivity of our managed Spark service.”

Features for the new services include new capabilities to the YARN resource manager to create an open source Apache licensed REST web service, as well as integrations between Spark and Azure Data Lake Store to increase scalability, Spark and Data Lake Store to increase security, Jupyter (iPython) notebooks and Power BI to build interactive visualizations over data of any size.

Alongside the Spark announcement, the Microsoft team has also ventured into the consumer AI market as Cortana will now be available on Xbox One, Xbox Live and Windows Stores. Starting with a limited Xbox Preview audience for Xbox One, the offering will be more widely released to the Xbox app (beta) on Windows 10 over the course of the summer.

Starting out with U.S., U.K., France, Italy, Germany and Spain, Cortana voice commands on Xbox One will work with both headsets and Kinect. Firstly users will be able to find new games, see what your friends are up to, start a party and accomplish common tasks, though new features will be adding over time.

Despite the company suffering a very public set-back in the AI world with the malfunction of Tay, the team have pressed forward, seemingly prioritizing AI for new features throughout the portfolio. CEO Satya Nadella stated at the Microsoft Build 2016 event AI would feature heavily in future investments, as the team target a Conversation-as-a-Platform proposition. The Cortana Intelligence Suite, which was launched at the event, allows developers to build apps and bots which interact with customers in a personalized way, but also react to real-world developments in real-time.

“As an industry, we are on the cusp of a new frontier that pairs the power of natural human language with advanced machine intelligence,” said Nadella. “At Microsoft, we call this Conversation-as-a-Platform, and it builds on and extends the power of the Microsoft Azure, Office 365 and Windows platforms to empower developers everywhere.”

AI, Artificial intelligence, Big Data, cognitive computing, IBM, Interactive Advertising, News & Analysis, Watson

IBM launches interactive ads on Watson

Robotic hand, accessing on laptop, the virtual world of information. Concept of artificial intelligence and replacement of humans by machines.IBM has announced the launch of Watson Ads to harness the AI potential of its cognitive computing platform and create interactive ads, personalized to individual customers. The first offerings of the initiative will be made available through The Weather Company sub-brand.

Personalized advertising has proved to be big business in recent months as brands aim to move away from the blanket marketing approach, as towards a proposition where one-to-one communications are the norm. IBM believe Watson’s ability to understand and comprehend natural language will enable advertisers to interact with customers on a more personal level, and also on a wide scale.

“The dawn of cognitive advertising is truly a watershed moment. Now as part of IBM, we have even more tools and technologies at our disposal to inspire innovations within advertising, artificial intelligence and storytelling,” said Domenic Venuto, GM of Consumer products at The Weather Company. “This is a huge opportunity to expose consumers to all of the surprising and delightful experiences that Watson has in store for them – and to make advertising a truly valuable interaction for both our fans and our marketing partners, which is always our goal.”

IBM claim the new proposition will aide advertiser in numerous ways including a better understanding of brand perception and customer favourability, helping customers make a more informed decision, improve overall experience, optimize creative and advertising strategies, as well as helping marketers use data more effectively.

As part of the initiative, the team will also create the Watson Ads Council, a collection of marketers from various verticals, who will act as a sounding board for the latest innovations leveraging Watson Ads and cognitive advancements in advertising.

“Transforming ourselves and industries is part of The Weather Company DNA,” said Jeremy Steinberg, Global Head of Sales at The Weather Company. “We’ve embraced big data and leveraged it to improve every aspect of our business, from forecast accuracy to ad targeting. Now we’ve set our sights on cognition. We believe human interaction is the new ‘search,’ and that cognitive advertising is the next frontier in marketing – and we’re leading the charge to make it a reality.”

Watson Ads will launch first exclusively across The Weather Company properties, but this is expected to have broad implications for other marketing channels, including out of home, television, connected cars and social media platforms.

Artificial intelligence, Big Data, Cloudera, data analytics, Features, Hadoop

What is the promise of big data? Computers will be better than humans

AI-Artificial-Intelligence-Machine-Learning-Cognitive-ComputingBig data as a concept has in fact been around longer than computer technology, which would surprise a number of people.

Back in 1944 Wesleyan University Librarian Fremont Rider wrote a paper which estimated American university libraries were doubling in size every sixteen years meaning the Yale Library in 2040 would occupy over 6,000 miles of shelves. This is not big data as most people would know it, but the vast and violent increase in the quantity and variety of information in the Yale library is the same principle.

The concept was not known as big data back then, but technologists today are also facing a challenge on how to handle such a vast amount of information. Not necessarily on how to store it, but how to make use of it. The promise of big data, and data analytics more generically, is to provide intelligence, insight and predictability but only now are we getting to a stage where technology is advanced enough to capitalise on the vast amount of information which we have available to us.

Back in 2003 Google wrote a paper on its MapReduce and Google File System which has generally been attributed to the beginning of the Apache Hadoop platform. At this point, few people could anticipate the explosion of technology which we’ve witnessed, Cloudera Chairman and CSO Mike Olson is one of these people, but he is also leading a company which has been regularly attributed as one of the go-to organizations for the Apache Hadoop platform.

“We’re seeing innovation in CPUs, in optical networking all the way to the chip, in solid state, highly affordable, high performance memory systems, we’re seeing dramatic changes in storage capabilities generally. Those changes are going to force us to adapt the software and change the way it operates,” said Olson, speaking at the Strata + Hadoop event in London. “Apache Hadoop has come a long way in 10 years; the road in front of it is exciting but is going to require an awful lot of work.”

Analytics was previously seen as an opportunity for companies to look back at its performance over a defined period, and develop lessons for employees on how future performance can be improved. Today the application of advanced analytics is improvements in real-time performance. A company can react in real-time to shift the focus of a marketing campaign, or alter a production line to improve the outcome. The promise of big data and IoT is predictability and data defined decision making, which can shift a business from a reactionary position through to a predictive. Understanding trends can create proactive business models which advice decision makers on how to steer a company. But what comes next?

Mike Olsen

Cloudera Chairman and CSO Mike Olsen

For Olsen, machine learning and artificial intelligence is where the industry is heading. We’re at a stage where big data and analytics can be used to automate processes and replace humans for simple tasks. In a short period of time, we’ve seen some significant advances in the applications of the technology, most notably Google’s AlphaGo beating World Go champion Lee Se-dol and Facebook’s use of AI in picture recognition.

Although computers taking on humans in games of strategy would not be considered a new PR stunt, IBM’s Deep Blue defeated chess world champion Garry Kasparov in 1997, this is a very different proposition. While chess is a game which relies on strategy, go is another beast. Due to the vast number of permutations available, strategies within the game rely on intuition and feel, a complex task for the Google team. The fact AlphaGo won the match demonstrates how far researchers have progressed in making machine-learning and artificial intelligence a reality.

“In narrow but very interesting domains, computers have become better than humans at vision and we’re going to see that piece of innovation absolutely continue,” said Olsen. “Big Data is going to drive innovation here.”

This may be difficult for a number of people to comprehend, but big data has entered the business world; true AI and automated, data-driven decision may not be too far behind. Data is driving the direction of businesses through a better understanding of the customer, increase the security of an organization or gaining a better understanding of the risk associated with any business decision. Big data is no longer a theory, but an accomplished business strategy.

Olsen is not saying computers will replace humans, but the number of and variety of processes which can be replaced by machines is certainly growing, and growing faster every day.

Artificial intelligence, cyber security, Enterprise IT, Machine learning, Microsoft, Microsoft Azure, News & Analysis

Microsoft launches VC to drive inorganic growth

Microsoft To Layoff 18,000Microsoft has announced the launch of Microsoft Ventures, a new capitalist venture arm to engage start-ups and entrepreneurs in areas which the business does not currently operate.

Speaking on the official Microsoft blog, Nagraj Kashyap Corporate VP for the ventures business, highlighted the launch was in line with objectives to identify start-ups which can inspire the next technology evolution, as opposed to supporting the current portfolio and business objectives.

“In Microsoft’s history of engaging with and supporting start-ups, we’ve done a lot of investing, but not a lot of early stage,” said Kashyap. “Because we would often invest alongside commercial deals, we were not a part of the early industry conversations on disruptive technology trends. With a formalized venture fund, Microsoft now has a seat at the table.”

Technology acquisition has become an intense game in recent months, as a host of tech giants have built new business units to identify potential acquisitions. While this might not be considered an unusual business activity, the trends of innovation through acquisition as opposed to organic growth have seemingly becoming more prominent. Earlier this month, HP announced the launch of its own VC business unit, which could be perceived as a means for the business to diversify its portfolio, entering new markets. These new markets could lead to direct competition with HPE.

Microsoft has a history of creating initiatives to aide and invest in start-ups, having launched the Microsoft Accelerator program, which provides tools, technology and consulting, though this unit will aim to sit between the Accelerator and the function which oversees major acquisitions. Initially the team will have a presence in San Francisco New York City and Tel Aviv, and will also look to expand to additional countries in the future.

“Given that the move to the cloud remains the single largest priority for the industry, identifying the bleeding-edge companies who complement and leverage the transition to the cloud is key to our investment thesis,” said Kashyap.

“Companies developing product and services that complement Azure infrastructure, building new business SaaS applications, promoting more personal computing by enriching the Windows and HoloLens ecosystems, new disruptive enterprise, consumer productivity, and communication products around Office 365 are interesting areas from an investment perspective.”

Aside from technologies which can aide the company’s core capabilities, the team will also be responsible for investigating disruptions in more horizontal axis. Security and machine learning were two areas which were identified by Kashyap on the blog. “Our view is outward into the market — we focus on the inorganic growth of Microsoft, looking at where we can provide a step function, versus incremental progress.”

acquisition, Artificial intelligence, Intel, Internet of Things, IoT, Machine learning, News & Analysis

Intel continues to innovate through Itseez acquisition

IntelIntel has continued its strides into the IoT market through the acquisition of Itseez, a computer vision and machine learning company.

Itseez, which was founded by two former Intel employees, specializes in computer vision algorithms and implementations, which can be used for a number of different applications, including autonomous driving, digital security and surveillance, and industrial inspection. The Itseez inclusion bolsters Intel’s capabilities to develop technology which electronically perceive and understand images.

“As the Internet of Things evolves, we see three distinct phases emerging,” said Doug Davis, GM for the Internet of Things Group at Intel. “The first is to make everyday objects smart – this is well underway with everything from smart toothbrushes to smart car seats now available. The second is to connect the unconnected, with new devices connecting to the cloud and enabling new revenue, services and savings. New devices like cars and watches are being designed with connectivity and intelligence built into the device.

“The third is just emerging when devices will require constant connectivity and will need the intelligence to make real-time decisions based on their surroundings. This is the ‘autonomous era’, and machine learning and computer vision will become critical for all kinds of machines – cars among them.”

The acquisition bolsters Intel’s capabilities in the potentially lucrative IoT segment, as the company continues its efforts to diversify its reach and enter into new growth markets. Last month, CEO Brian Krzanich outlined the organizations new strategy which is split into five sections; cloud technology, IoT, memory and programmable solutions, 5G and developing new technologies under the concept of Moore’s law. Efforts have focused around changing the perception of Intel from a PCs and mobile devices brand, to one which is built on a foundation of emerging technologies.

Intel’s move would appear to have made the decision of innovation through acquisition is a safer bet than organic, in-house innovation. There have been a small number of examples of organic diversification; Apple’s iPhone is one example, though the safer bet to move away from core competence is through acquisition.

Intel has dipped its toe into organic diversification, as it attempted to develop a portfolio of chips for mobile devices, though this would generally not be considered a successful venture, similar to Google’s continued efforts to organically grow into social, which could be seen as stuttering. On the contrary, Google’s advertising revenues now account for $67.39 billion (2015), with its platform being built almost entirely on acquisitions. The AdSense and Adwords services have been built and bolstered through various purchases including Applied Semantics ($102 million in 2003), dMarc Broadcasting ($102 million in 2006), DoubleClick ($3.1 billion in 2007), AdMob ($750 million in 2009) and Admeld ($400 million in 2011).

While diversification through acquisition can be seen as the safer, more practical and efficient means to move into new markets, it is by no means a guaranteed strategy. Intel’s strategy could be seen as a sensible option as there are far more examples off successful diversification through acquisition compared to organic growth. The jury is still out on Intel’s position in the IoT market but there are backing the tried and tested route to diversification.

AI, Artificial intelligence, China, Dell, Enterprise IT, News & Analysis

Dell targets SMBs in China with launch of new company

Location China. Green pin on the map.Dell has prioritized growing its presence within the Chinese market targeting SMBs and public sector organizations, according to China Daily.

Speaking at the China Big Data Industry Summit in Guiyang, Dell CEO Michael Dell announced the launch of a new company, alongside its local partner, to gain traction within the lucrative market. Guizhou YottaCloud Technology will now act as a means for Dell to access the local market, prioritizing small and medium-sized enterprises and local governments in the first instance.

“China will play an increasingly important role in the big data era and the United States-based tech giant will speed up efforts to develop new products for the market,” said Dell at the conference.

Dell is one of a number of organizations who have prioritized local partnerships in the Chinese market, as locals tend to favour Chinese businesses and technologies over foreign counterparts, quoting security as the main driver. The country itself is a big draw for Dell as a business, representing its second largest market worldwide, only behind the US. The company also highlighted in September it plans to invest $125 billion in the Chinese market over the next five years, with cloud computing being the focal point.

Last year Dell launched it’s ‘In China for China’ strategy, which not only included the above investments, but also a drive from its Venture Capital arm in China to encourage entrepreneurialism, expanding its R&D function in the country, as well as establishing an artificial intelligence and advanced computing joint-lab, with the Chinese Academy of Sciences. The AI research will focus on the areas of cognitive function simulation, deep learning and brain computer simulation.

“The Internet is the new engine for China’s future economic growth and has unlimited potential,” said Dell in September. “Being an innovative and efficient technology company, Dell will embrace the principle of ‘In China, for China’ and closely integrate Dell China strategies with national policies in order to support Chinese technological innovation, economic development and industrial transformation.”

Artificial intelligence, Big Data, data analytics, News & Analysis, Salesforce, SMB

Salesforce SMB’s business leader talks data analytics, AI and the age of entrepreneurship

Sanj Salesforce

Sanj Bhayro, SVP EMEA Commercial at Salesforce

While the business world has traditionally favoured the biggest and the richest, cloud as a technology is seen as the great equalizer. Through a transition through to the cloud, SMBs are being empowered to take on the nemesis of enterprise business, with the number of wins growing year-on-year.

This, according to Salesforce’s Sanj Bhayro, is one of the most exciting trends we’re now witnessing in business throughout the world. Bhayro currently leads the EMEA SMB business at Salesforce and for almost 11 years has been part of the team which has seen the power of intelligent CRM systems grow backroom businesses to industry giants. Just look at the growth and influence of companies such as Uber and AirBnB for justification of his claims.

“The SMB business in Salesforce is one of the most exciting, because we get to work with really innovative companies,” said Bhayro. “All the innovation in the industry is coming from these small to medium sized businesses. They are disrupting the traditional market which is in turn forcing the traditional players to transform their own business models.

“Something which is interesting from our perspective at Salesforce is that when we started 17 years ago the internet wasn’t that prevalent, the cloud wasn’t a word that was used that often, and it was the SMB companies who adopted our technology. The cloud offered them the operational efficiency, the scale and the reach to take on these traditional players. These smaller organizations are looking more and more towards technology as the enabler for innovation.”

The majority of the SMBs could be considered to be too small to drive innovation in-house. For the most part, the IT department is small, and responsible for ‘keeping the lights on’, working through the cloud has enabled innovation and created opportunities for these organizations. And for the most part, the ability to be innovative is much more prominent in the smaller organizations.

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The fail-fast business model is one which has captured the imagination of numerous enterprise organizations around the world. Amazon CEO Jeffrey Bezos recently claimed the fail-fast model was the catalyst for recent growth within the AWS business, though the majority are seemingly struggling to implement the right culture which encourages learning and innovating through failing. For the majority, failure is simply failure, not part of the journey to success.

But this in itself is one of the ways in which the smaller, more agile organizations are innovating and catching enterprise scale businesses. The implementation of cloud platforms speeds up the failures and lessens negative impacts on the business, to further drive the journey to innovation.

“For start-ups and early stage companies, failing is an accepted mentality. How many companies are actually the same as when they started? They failed, learned and then progressed. As businesses become bigger and bigger it becomes a lot more difficult. Certainly for larger companies there is a lot more friction around the fail-fast model. Smaller companies are culturally set up to allow them to pivot and try new things, whereas larger ones, purely because of their size, are constrained.”

Outside of the SMB team, Salesforce engineers have been prioritizing the use of artificial intelligence for future product launches and updates. This was reinforced during the company’s quarterly earnings call in recent weeks as CEO Marc Benioff backed AI as the next major growth driver. While there is potential for AI in the SMB market place, for the moment it is only for those who are ahead of the curve.

For the most part, data analytics is starting to drip down into smaller organizations, though there is still a substantial amount of data which is not being utilized. For Bhayro, as the concept of the cloud is now ubiquitous, the opportunities are almost limitless. But only once these organizations have got on top of managing their own data, breaking down the silos within the business.

Robotic hand, accessing on laptop, the virtual world of information. Concept of artificial intelligence and replacement of humans by machines.“AI translates well into the SMB business model and it will be the SMBs who drive where AI goes,” said Bhayro. “There are generally two camps when it comes to the SMB market, those who are cloud-native, those who capitalizing on the sharing-economy and those who are more traditional organizations. The shift that the traditional business has to make to break down the silos, and to move towards a cloud back-end is far more difficult than a company like Deliveroo who started in the cloud and can scale. Never the less that shift has to be made.”

“So much data is being created and there’s so much that you can do with it. The problem is that so many companies are not doing enough with their data. Recent reports stated that most companies can only analyse 1% of their data. Even before we start moving towards AI technologies, the way we service intelligence is through insight. We need to provide the right tools to make data available and malleable, to everybody in your business. These data analytics tools are the first steps and then we can look forward to AI technologies.”

The UK government has made numerous schemes available to SMBs to encourage the growth of this subsector in recent years, and Bhayro believes these efforts have been playing off in the international markets.

“I delighted to say that the UK takes a leadership position (in relation to SMB growth and innovation in comparison to the rest of Europe),” said Bhayro. “Something in the region of 95-96% of the companies in the UK are SMBs, and the government is currently doing the right things to encourage and propel entrepreneurs. I think we’re in the time of entrepreneurship, and this is the time for people to have the vision and grow. These companies are having wonderful ideas, and they are moving into the growth period, but it’s the customer experience which really differentiates them from the competition. Not many of these companies are set up to achieve customer experience objectives, but this is where we (Salesforce) come in.”