Category Archives: Artificial intelligence

Accenture outlines future of cloud and data analytics in sport

Accenture 3Although the digital age has created a wealth of opportunities for organizations to create new revenue streams and attract new audiences, maintaining engagement of these customers is becoming an increasing difficult job, according to Accenture’s Nick Millman.

The availability and ease of information in the 21st century has created a new dynamic where consumers are now becoming increasingly competent at multi-tasking and operating several devices, which has made the task of keeping a viewer’s attention throughout the course of a sporting event more challenging. Millman, who leads the Big Data & Analytics Delivery at Accenture, are using this dynamic to create new engagement opportunities for the Six Nations.

“There will be a number of people who will watch the entirety of a match, however there will be others who will be playing with their tablet or phone and enjoying the multi-screen experience,” said Millman. “To keep the level of engagement, sports need to become more digital themselves, providing more insight and data to fans who are watching the game. Ideally you want them to be on their phone looking at something which is relevant to the game as opposed to Facebook or what their friends are doing.”

Accenture first teamed up with the Six Nations as a technology partner four years ago, where the initial partnership focused on demonstrating the company’s mobility capabilities through creating the official app. What started as a basic app now acts as a delivery platform where Accenture can showcase their data analytics capabilities, processing more than 2 million rows of data per game and creating visuals in (near) real-time to tell a different story behind the sport itself.

The data itself is not necessarily the greatest use to the fans, so Accenture has brought in rugby experts year-on-year to help understand the nuances of the information. This year Nick Mallet, Ben Kay and David Flatman helped the team tell the story. This is the same in the business world. Data analysts themselves may not be able to make the right decisions when it’s comes to the application of the data, as they wouldn’t understand the market in the same way as a Managing Director who has been in the industry for 30 years. The application of data in sport and the business world will only be effective when it is merged with expertise and experience to provide context.

Accenture 2“One of the interesting things which we saw is that there is now an interesting dynamic between data driven decisions and gut feel,” Millman highlighted. “In some cases when you are watching the game you may think that one player would be considered the best on the park, but the data tells a different story. Seeing one hooker for example hit every line out perfectly might make him look like the most effective, but the data might suggest the opposition hooker who produced several small gains when carrying the ball had a greater impact on the game.

“This can translate into the business world also, as a marketing team may have a better feel about a product which it wants to push out to the market, but the data team have evidence which shows resource should be focused on a different area of the business,” said Millman. “I don’t think there is a right answer to what is better, data driven decision making or intuition, but it’s an interesting dynamic. The successful businesses will be the ones who are effective at blending the data and the skills to come to the right outcome.”

While the role of analytics is becoming more prominent in sport and the business world, there is still some education to be done before the concepts could be considered mainstream. Analytics may be big business in the enterprise segments, but there are still a large proportion of SMBs who do not understand the power of data analytics for their own business. The ability to cross sell, develop a stronger back story of your customer, maintain engagement or even implement artificial intelligence programs is only available once the core competencies of big data and analytics are embraced within the organization.

Accenture 1For Accenture, wearables and IoT are next on the horizon and potentially virtual reality in the future. This year the app was available on the Apple watch, as Millman is starting to see trends which could shift the consumption of data once again.

“It’s still early days, but some of the consumption of data is likely to shift from tablets and smartphones,” said Millman. “Like it shifted from desktops to laptops to smartphones and tablets, it may shift to wearable devices in the future.

“Also this year we build a prototype using virtual reality to immerse people into the rugby experience. I’m not sure VR will become mainstream in a sporting context in the next 12-18 months but I think increasingly VR and AR (augmented reality) will become a part of the sports viewing experience.”

Marc Benioff backs AI as Salesforce reports 28% growth

Marc Benioff

Salesforce CEO Marc Benioff

Salesforce reported healthy results over the course of Q1, growing 28%, as CEO Marc Benioff backed AI as the next major growth driver, during the company’s quarterly earnings call.

While social and mobile has facilitated Salesforce growth in recent years, the team are backing artificial intelligence as the next major trend to take the company through the targeted $10 billion annual revenue target. Benioff highlighted that in the same way the company is now known for being a social and mobility brand, the ambition is for Salesforce to be perceived as “an AI first company”.

“When I look at kind of the next major trend for Salesforce and our industry that will drive tremendous growth is got to be artificial intelligence,” said Benioff. “And as we look out into the future and we start to look at extreme improvement and advances in artificial intelligence whether it’s machine learning, whether it’s deep learning, whether it’s machine intelligence itself, I think that those kind of capabilities appearing inside our applications that is going to be a major growth capability going forward.”

One of the newest product launches for the company, Salesforce Inbox, uses these AI and machine intelligence opportunities to gives companies a perspective on how they can be more efficient in the sales, service, and marketing processes. SalesforceIQ is another offering which uses the same capabilities as it has an artificial intelligence front end, whereas Benioff also highlighted Sales Cloud has a machine learning front end.

While others in the industry have been very vocal about their progress within the AI field, Salesforce has seemingly been sneaking in under the radar with additional acquisitions including Tempo AI and PredictionIO. SalesforceIQ, an AI-driven calendar app which can prioritize work schedules for sales employees, was incorporated into the product portfolio following the $390 million acquisition of RelateIQ in 2014. These acquisitions, as well as organic development, are aiding the company in adapting to what Benioff described as “an AI first world”.

Salesforce’s new efforts will focus on the new, digitally enabled customers and consumers, who could be seen to driving the transformation worldwide. This new generation is defined by technology and speed, as Benioff highlighted they want services faster and easier than ever before, as well as being ever more reliant on social and mobile technologies. Companies who do not adapt themselves to this new proposition but remain in a more traditional model are those who will struggle to remain competitive.

“We’re in the midst of a massive generational shift; a new generation of customers and consumers is clearly emerging,” said Benioff. “We have been calling them here at Salesforce C generation customers. I mean this is really part of a huge shift that’s happening in computing. We’ve gone from the first generation of computing which was very much about systems of record to the second generation which was systems of engagement we talked about that on these calls many times over the last 10 years.

“And we are clearly moving into this incredible world that the system of intelligence that’s all yielding these incredible systems of customers or C generation customers that are — that our customers are connecting to. And that’s we’re so excited about.”

In terms of financials, revenues for Q1 grew to nearly $2 billion, up 28% in constant currency. Sales Cloud demonstrated 15% year-over-year growth, Service Cloud grew 32%, Marketing Cloud grew 29%, whereas Apps Cloud and other business units grew 45%. Growth in Sales Cloud was the highest recorded in the five previous quarters, which Benioff attributing to a number of new innovations including its Lightning platform, where the team have recently released an updated government edition, as well as Pardot and SteelBrick capabilities.

The team are also raising 2017 revenue guidance to $8.16 billion to $8.2 billion, and are expecting revenues of between $2.005 billion to $2.015 billion in Q2.

“I’m also thrilled to announce we’re raising full-year revenue guidance $80 million raising the guidance we feel really excited about that, $8.2 billion is the high-end of our range and our current outlook puts us on its square path, look we are going to see now that we’re going to realize very shortly our $10 billion dream,” said Benioff. “This is amazing I think that one of the reasons that we are doing so well is because Oracle and SAP are doing so poorly in the cloud”

Sony leans on AI to give technological advantage

Sony robotSony has announced its latest investment into Cogitai, taking the company’s interests into the world of artificial intelligence.

Artificial intelligence has been claiming column inches in recent months, as numerous technology companies including Facebook and Google aim to gain traction in a potentially profitable marketplace. The company has subtle experience in the AI space, having incorporated a number of face and speech recognition capabilities into previous products, though the company has not specifically stated where Cogitai’s technology will fit into the mix. Financials of the agreement have not been released to date.

“We believe that AI will be incorporated into numerous products and will eventually become commonplace,” said Hiroaki Kitano, CEO of Sony Computer Science Laboratories. Kitano’s division is responsible for future innovation in the business, where the team is current investigating the role of AI in enhanced the music experience for customers, as well as how the company can improve its own internal manufacturing processes.

“As this evolution happens, the most important thing to focus on is the benefit the technology brings to consumers. Because of this, the choice of domains, value propositions, and how one can align technologies to enable them to work together will be crucial. From this perspective the collaboration between Cogitai and Sony is a major milestone for the next wave of AI.”

The company’s first venture into the AI market focused around the launch of robotic dog AIBO in 1999 and humanoid robot QRIO in 2003. While these launches received a healthy amount of attention at the time, the last products were produced in 2006 due to the company’s need to concentrate on fighting back competition in its core consumer electronics business. Having restructured the consumer electronics business, the team could be using the integration of AI to provide technological advantage in the market segment.

Sony’s current AI activities are centred within the System R&D Group which is based in Sony Headquarters, and is also responsible for the development of augmented reality and other emerging technology areas. The team have implemented various AI capabilities in a number of current products including Xperia Agent, a voice activated robot which provides information in a similar manner to Siri and Project N, a wearable device, though the capabilities don’t appear to be as advanced as others in the market.

Dell Security targets small organizations with AI product launch

Dell office logoDell has launched a new AI-based security solution, Threat Defence, which has been designed specifically for smaller organizations with limited or no IT resource.

The new offering utilizes machine learning and AI technologies to prevent threats from entering an organizations perimeter, as opposed to simply detecting them once inside. Dell claims the new offering stops 99% of malware execution, as the machine learning components of the software will adapt and learn from the malware for future threat detection.

“Today’s malware attacks are non-discriminant and can impact organisations of all sizes,” said Brett Hansen, Executive Director for Data Security Solutions at Dell. “Smaller businesses are often at risk as traditional anti-virus and threat protection solutions can be resource intensive or beyond the means of growing businesses. With Dell Data Protection Threat Defence, Dell is addressing the needs of this under-served segment with an effective advanced threat prevention solution that is easy to manage and reflects the multi-platform reality of modern businesses.”

The launch builds on growing security concerns within world of smaller organizations, as a recent survey from Dell claimed 69% of SMB’s state data security is a burden on their company’s time and budget, with 65% holding back mobility plans due to ongoing security concerns. The Threat Defence aims to provide a more secure platform for businesses who want to become more mobile. Although Dell has a healthy reputation for security within the enterprise market, this is seemingly one of the first moves by the company to diversify the customer base, and reach into new market segments.

Additional features include a low-footprint, the company claims only 1-3% of CPU resources will be used, the ability to safe-list certain files and applications which have a tendency to throw out false-positives, as well the ability to upload suspicious files to the cloud for analysis. Through the analysis, Dell can update the software remotely to improve detection capabilities of malware crossing an organizations perimeter.

The offering will be available on a subscription basis in the United States and select countries around the world starting in mid-June 2016.

Accenture and IPsoft team up to launch AI initiative

Robotic hand, accessing on laptop, the virtual world of information. Concept of artificial intelligence and replacement of humans by machines.Accenture has expanded its partnership with IPsoft to accelerate the adoption and implementation of artificial intelligence technologies.

As part of the relationship the team will launch the Accenture Amelia Practice, a new consulting arm for Accenture which will develop go-to-market strategies using the IPsoft’s product offering to build virtual agent technology for customers. In the first instance, the team will target the banking, insurance and travel industries.

“Artificial intelligence is maturing rapidly and offers great potential to reshape the way that organisations conduct business and interact with their customers and employees,” said Paul Daugherty, Accenture’s CTO “At the same time, executives are overwhelmed by the plethora of technologies and many products that are advertising AI or Cognitive capabilities.”

“With our new Accenture Amelia practice, we are taking an important step forward in advancing the business potential of artificial intelligence by combining IPsoft’s world-class virtual agent platform with Accenture’s broad technology capabilities and industry experience to help clients transform their business and operations.”

The extended partnership will focus on creating practical implementations for AI within the current business world, using automation at scale to increase organizational efficiencies. The IPsoft team have implemented the same concept with a number of customers including programs to answer invoicing queries from suppliers and front-line customer service bots.

Artificial intelligence is seemingly one of a number of new areas being prioritized by the Accenture team, as industry continues trends towards a more digitally enabled ecosystem. Recent research from highlighted the digital economy accounted for roughly 22% of the world’s total economy, with this figure predicted to rise to 25% by 2015. This figure was as low as 15% in 2005. The same research also predicts growth of new technology will continue on an upward scale, as 28% of the respondents believe the pace of change will increase “at an unprecedented rate”.

While Accenture’s business has predominantly been focused around traditional IT to date, the team’s future business will shift slightly towards disruptive technologies, building on its new business mantra ‘Every Business is a Digital Business’. AI is one of those prioritized disruptions, as it described artificial intelligence and intelligent automation as the “essential new co-worker for the digital age”.

It would appear Accenture are betting heavy on these new technologies as it claims 70% of executives are making significantly more investments in artificial intelligence technologies than they did in 2013, and 55% state that they plan on using machine learning and embedded AI solutions (like Amelia) extensively.

Alibaba and Softbank launch SB Cloud for Japanese market

AlibabaAlibaba and Softbank have announced the establishment of SB Cloud Corporation, a new joint venture to offer cloud computing services in Japan.

The demand for public cloud in Japan and surrounding countries has been growing in recent years, with Japan leading the way as the most advanced nation. A report from Gartner last year estimated the total public cloud services spending in the mature APJ region will rise to $11.5 billion by 2018. Alibaba has targeted the region to grow its already healthy cloud business unit.

“I’ve really enjoyed working with the Alibaba Cloud team on the joint venture over the past few months,” said Eric Gan, the new CEO of SB Cloud and EVP of SoftBank. “During the business planning discussions, I quickly felt that we were all working very much as one team with one goal. I believe the JV team can develop the most advanced cloud platform for Japanese customers, as well as for multinational customers who want to use the resources we have available in Japan.”

SB Cloud will enable Alibaba to increase its presence in the market, where it already offers services to SoftBank’s business customer base in Japan, which primarily comprises of global organizations. SB Cloud will open a new data centre in the country, where it will now serve customers outside of established SoftBank customer base, offering data storage and processing services, enterprise-level middleware as well as cloud security services.

A recent report from the US Department of Commerce highlighted the Japanese market is one of the most competitive worldwide, though five of the six major vendors are American, Amazon Web Services, Google, IBM, Microsoft and Salesforce. Domestic companies, such as Fujitsu, have announced aggressive expansion plans. Fujitsu claims to be to investing $2 billion between 2014 and 2017 to capture an increased market share in cloud computing, primarily focused on the growing IoT sub-sector.

While Alibaba’s traditional business has been in the Chinese market, the company has been making efforts over the last 12-18 months to diversify its outreach. Last year, the company launched a new data centre in Singapore, as well as in Silicon Valley. It also launched what it claims is China’s first cloud AI platform last August, DT PAI. The purpose-built algorithms and machine learning technologies are designed to help users generate predictive intelligence insights, claiming the service features “drag and drop” capabilities that let users easily connect different services and set parameters, seemingly following IBM’s lead in designing a more accessible offering for the industry.

New HP Tech Venture Group may lead to HPE overlap

HPHP has announced the launch of HP Tech Ventures, the new corporate venture arm of the business, which will invest in IoT and artificial intelligence start-ups that could end up competing with HPE.

The team will aim to develop partnership and identify potential acquisitions within the new era of disruptive technologies. HP Tech Ventures, which will be based out of offices in Palo Alto and Tel Aviv, will be led by Chief Disrupter, Andrew Bolwell targeting new technologies in 3D transformation, immersive computing, hyper-mobility, Internet of Things, artificial intelligence, and smart machines in the first instance.

Following the split of Hewlett-Packard into two separate organizations, HP took the PC and printer assets, while HPE is now focused on enterprise-orientated technologies. Over the last several months, HPE has made numerous product launches and investments in cloud, machine-learning and IoT technologies, and HP Tech Ventures targeted technologies (IoT, AI, smart machines etc.) could potentially make the once combined companies, competitors. HPE also has its own venture arm, where it has invested in various cloud, big data and security start-ups.

“The next technology revolution is shifting towards strategic markets that speak to HP’s strengths,” said Shane Wall, HP Chief Technology Officer and head of HP Labs. “With our global brand and broad reach into consumer and commercial markets worldwide, HP can help start-ups bring product to market, build their business and scale in the global marketplace as they grow.”

The company has claimed it will be able to offer rapid scale to innovative start-ups, through its technology network, as well as its channel and distribution partners. The launch would appear to be one of HP’s strategies to counter the negative impact which declining PC sales is having on its traditional business, entering into new markets through potential acquisitions as opposed to organic growth.

IBM teams up with SK C&C to teach Watson learns Korean

Bukchon Hanok Village in Seoul, South Korea.SK C&C has continued Korea’s efforts to increase the usage and adoption of cloud computing within the region, announcing a new strategic alliance with IBM focused on the Watson cognitive computing platform.

As part of the agreement, IBM will train Watson to understand and comprehend Korean, and South Korea-based developers will create a number of localized API’s and services to increase adoption rates of such advanced cloud computing technologies in the region. Korean will be Watson’s eighth language, lining up with English, French, Italian, Spanish, Brazilian Portuguese, Japanese, and Arabic.

“Watson remains at the forefront of cognitive computing: advanced systems that learn at scale, understand with meaning, reason with purpose and interact with humans in natural ways,” said David Kenny, GM for IBM Watson. “The South Korean marketplace is moving quickly to embrace the disruptive opportunities from next generation technology.

“Our strategic alliance with SK Holdings C&C will put cognitive services in the hands of more businesses and developers, allowing them to apply Watson within their organizations to help transform entire industries and professions.”

Korea has been making positive strides in recent months to increase the adoption rate of cloud computing within the country, announcing a number of initiatives in March. Adoption rates are reported to be as low as 6.4% within the country currently, which could be perceived as low considering the number of tech companies which has grown out of Korea, though the government is planning to increase this to 13% over the next twelve months. Over the same period, the government also plans to increase the number of Korean cloud companies from 353 to 500.

While this announcement focused on cloud computing as a broader technology set, the government also announced plans to invest 100 billion won (approximately $87.2 million) to foster the development of supercomputers. The Ministry of Science, ICT, and Future Planning said it would invest 10 billion won annually for the next 10 years to boost the growth of artificial intelligence, big data, the Internet-of-Things technologies and other emerging industries through supercomputers. The ambition is to create a supercomputer with a data-processing speed of 1 petaflop (PF) in five years, eventually reaching 30 PF by 2025.

As part of the partnership between IBM and SK C&C, the telco will run Watson and Bluemix from its Pangyo Cloud Centre, to foster the growth of cognitive computing and artificial intelligence. More specifically SK C&C is hoping the introduction of the technologies will improve mobile device experience, as well as consumers’ call centre interactions. SK C&C will also become IBM’s preferred distributor for cognitive solutions in South Korea.

“This alliance highlights SK’s dedication to growing our artificial intelligence-based data services business, strengthening our Ai leadership position, as well as spurring innovation and Ai adoption across Korea,” said Park Jung-ho, CEO of SK Holdings C&C.

The partnership between IBM and SK C&C is one of a number of examples of IBM’s efforts to broaden the appeal to the international audience. SK C&C will assist in developing Watson’s advanced conversational capabilities in Korean, in the same way SoftBank is aiding for Japanese, Mubadala for Arabic and GBM in South America. Each of these companies, including SK C&C, are developing local communities of developers to build, explore and create new applications in their native languages. Korean language Watson services are expected to become available early next year.

AI forms backbone of Facebook’s 10 year plan

Facebook founder Mark Zuckerberg

Facebook founder Mark Zuckerberg

Facebook has seemingly positioned artificial intelligence as one of the catalysts for innovation for the company over the next 10 years.

Outlining its technology roadmap for the next 10 years, the company highlighted artificial intelligence, as well as virtual and augmented reality, as technologies to drive new features and user experience. New features highlighted include translation, photo image searches, ‘talking pictures’ and real-time video classification.

“Artificial Intelligence will power all kinds of different services with better than human level perception and we’ll see the emergence of the next major computing platform in virtual and augmented reality,” said Facebook founder Mark Zuckerberg during his opening keynote at F8. “These are all elements of our 10 year roadmap to connect the world and each of these elements is in service of our mission. It’s about bringing people together, that’s what we do here.”

The company has been making efforts in recent months to bolster its position in the artificial intelligence space. Recently, the company announced a string of new hires for its artificial intelligence research team, including a number of acquisitions from Microsoft’s R&D team, another company who have been making strides to perfect AI. The new staff members bring experience to the team in the fields of causal inference in learning systems, computer vision, cost-sensitive learning, speech recognition and syntactic parsing with approximate inference.

Joaquin Quiñonero Candela, Director of Applied Machine Learning at Facebook

Joaquin Quiñonero Candela, Director of Applied Machine Learning at Facebook

On the company blog, Joaquin Quiñonero Candela, Director of Applied Machine Learning at Facebook outlined a number of use cases which are a reality today. “We built an AI backbone that powers much of the Facebook experience and is used actively by more than 25 percent of all engineers across the company. Powered by a massive 40 PFLOPS GPU cluster that teams are using to train really large models with billions of parameters on huge data sets of trillions of examples, teams across the company ae running 50x more AI experiments per day than a year ago, which means that research is going into production faster than ever.”

The company has already applied an AI-based automatic translation system, claiming that an off-the-shelf translation program would not be adequate as they trained on a general corpus like appliance manuals. As language on Facebook is far more colloquial, the systems would not be effective. The company claims that its AI capabilities have the ability to learn and recognize new expressions, regional differences and the various uses of emojis.

In terms of pictures, Facebook claim its AI can understand the content of the image at a pixel level to make classification and searching of image simpler. “This is called image segmentation, and it allows us to recognize individual objects in the image as well as their relation,” said Candela. “Using image segmentation we will be able to build more immersive experiences for the visually impaired with “talking images” you can read with your fingertips, as well as more powerful ways to search images. In one case here, we have the ability to search for ‘a photo of us five on skis on the snow, with a lake in the background and trees on both sides’.

“AI is central to today’s Facebook experience, and, with our research pushing the state of the art, we’re just getting started on this journey. I’m excited to see where it takes us next.”

AI battle ground intensifies with AWS rumoured to be making moves

amazon awsAmazon has apparently acquired deep learning start-up Orbeus in what would appear to be the company’s latest move on the artificial intelligence market, according to reports at Bloomberg. Sources close to Bloomberg have said the acquisition took place in the latter stages of 2015, though the deal has not been announced by Amazon as of yet.

Over recent months, artificial intelligence would appear to be the latest battle grounds for the cloud industry as numerous tech giants bolster their capabilities in the space. While the move has not been confirmed by either Orbeus or Amazon, the play builds on AWS’ previous acquisitions in the segment including high-performance computing company Nice and video processing company Elemental Technologies.

The Orbeus site is relatively bare for the moment, simply displaying the message “ReKognition API is no longer taking new customers. Thank you very much for your interest and support. But we’re up to new/exciting things and to stay tuned.” The Orbeus technology utilizes deep learning techniques to provide scalable image and face recognition solutions for businesses and consumers. The company has won numerous awards and also received healthy media attention for its application PhotoTime, which brings the advances of deep learning to the consumer market.

While the move has not been confirmed by any parties to date it does appear to demonstrate the importance of AI for the tech giants, most of whom are making notable efforts to improve product offerings in the face of increasingly demanding customers. AWS continues to remain as the leader in the public cloud space, though recent moves from Microsoft and Google appear to be closing the gap. Industry insiders have told BCN that AWS’ industry leading position may be coming under threat as competitors would appear to be making more significant moves to improve their own platforms.

The new expertise could counter moves made by Google and Microsoft in recent months, as the companies pursue AI competencies for improved customer experience and decision making capabilities. Google’s recent Go PR stunt demonstrated the efforts which the team have made in deep learning, whereas Microsoft announced a number of Microsoft additions to its Cognitive Services offering, formerly known as Project Oxford, at Build 2016.