Archivo de la categoría: Big Data

Telsta adds IoT and big data offering to Network and Services biz unit

Location Australia. Green pin on the map.Australian telco Telstra has continued efforts to bolster its Network Applications and Services (NAS) business unit through acquiring Readify, reports Telecoms.com.

The company has been vocal about its aims for the NAS business unit as it has sought to expand through numerous acquisitions in recent years. Aside from the Readify deal, the company has also incorporated O2 Networks, Bridge Point Communications, Kloud and North Shore Connections, as well as numerous partnerships including with cloud security start-up vArmour.

“This arm of the business (NAS) has been a strong growth area for Telstra, achieving double-digit growth in revenue driven by business momentum in Asia, as well as advances in technology in the cloud computing space,” said a statement on the company website. “We are well equipped to continue to capitalise on this growth and ensure our focus on NAS continues to drive revenue.”

Readify, which currently offers enterprise cloud application solutions as well as Big Data and IoT, will provide an additional platform for Telstra to drive digital transformation for its enterprise customers in domestic and global markets. The offering builds on the January acquisition of Kloud which offers cloud migration services, as well as unified communications solutions and contact centre provider North Shore Connections in 2013, network integration services provider O2 Networks in 2014 and security, networking, and data management provider Bridgepoint, also in 2014.

“Readify will provide application development and data analytics services, nicely complementing Kloud’s existing services,” said Telstra Executive Director Global Enterprise and Services, Michelle Bendschneider. “It will enable Telstra to add incremental value to customers in enterprise cloud applications, API-based customisation and extensions as well as business technology advisory services.”

Back in April, the company announced a business multi-cloud connecting solution, which supports numerous offerings hybrid cloud offerings including Azure, AWS, VMware, and IBM. The one-to-many “gateway” model will enable Australian customers to connect to Microsoft Azure, Office365, AWS, IBM SoftLayer, and VMware vCloud Air, while international customers can only connect to AWS and IBM SoftLayer for the moment.

The cloud and enterprise services market has been a long-ambition of the company, though it did get off to a slow start. Back in 2014, its national rival Optus Business stole a march on Telstra through acquiring Ensyst, winner of Australian Country Partner of the Year at the Microsoft Worldwide Partner Awards during the same year, as it looked to grow its own cloud proposition. It would appear Telstra is making up for lost time through an accelerated program of product releases and acquisitions.

IBM takes Watson to Asia

The globe close up, Asia pastIBM has opened a new research centre in Singapore as it aims to expand its cognitive computing offering Watson into the Asian markets.

The Watson Centre will be located in IBM’s current office at Marina Bay Financial Centre will help commercialize the cognitive, blockchain and design capabilities through partnering with local organizations and co-creating new business solutions. The company claims the new centre will act as a hub for almost 5,000 IBM cognitive solutions professionals in the Asia Pacific region.

Although countries like Japan and China would be considered more mature in their adoption of cloud and next generation technologies, there are numerous others who are in the early stages of adoption. Countries like India and Indonesia have economies which are demonstrating healthy GDP growth at 7.3% and 4.7% respectively, as well as being the third and fifth most populous countries worldwide. Cloud adoption is beginning to accelerate in countries such as these representing a lucrative opportunity for companies such as IBM.

“Watson and blockchain are two technologies that will rapidly change the way we live and work, and our clients in Asia Pacific are eager to lead the way in envisioning and creating that future,” said Randy Walker, CEO IBM Asia Pacific. “Here they can leverage the latest in customer experience design, use cognitive technology to draw insight from vast quantities of data, and draw on IBM’s huge investments in research and development. In partnership with our clients we are nurturing local talent and building an ecosystem to accelerate the development of cognitive solutions and blockchain platforms.”

It would appear the IBM team will be focusing on the financial services, healthcare and tourism industries in the first instance, and the team already have a number of wins in place including Parkway Pantai, DBS Bank and ZUMATA Technologies. The Asian markets have seemingly been a target for Big Blue, and is one of the areas the company has been seeing positive results in recent months. Despite reporting its 16th consecutive quarterly revenue decline in April, the Asian markets were one of the few areas the team saw growth.

Watson has seemingly been the focal point of the company’s efforts to redefine their market position, as the team aim to position itself firmly in the cloud space. Last month the team announced it would teach Watson Korean in an effort to increase the usage and adoption of cloud computing within the region, and acquisitions over recent months have been geared more towards the IoT business unit.

“So where are we in the transformation?” said Martin Schroeter, CFO at IBM during the quarterly earnings call. “It is continued focus on shifting our investments into those strategic imperatives, it is making sure that the space we’re moving to is higher margin and higher profit opportunity for us and then making sure we’re investing aggressively to keep those businesses growing.”

SAP and Yandex pair up to launch predictive analytics platform

Zumos de verdura ecolcicaSAP and Yandex Data Factory have announced a new strategic partnership to develop cloud-based predictive analytics services for the retail, e-commerce, banking and telecommunications sectors.

Using the machine learning & data analytics capabilities of Yandex Data Factory, the team will offer services such as personalised offers of goods and services, churn prediction and recommendations for the retention of customers, which will be based on the SAP HANA Enterprise Cloud platform.

While the offering could seemingly be extended to other verticals, the team are focusing on more consumer orientated areas due to the volume of data these companies have already collected. There does not seem to be any reason why it could not be extended beyond the industries mentioned, though there would have to be a suitable amount of information collected to realize the full potential of the offering.

“While the advantages of big data analysis are well-understood, many in the retail, e-commerce, banking and telecommunications sectors will have concerns over integrating data analysis technology with their existing systems,” said Alexander Khaytin, chief operating officer at Yandex Data Factory. “We wanted to remove this obstacle and therefore deliberately partnered with SAP – one of the leading providers of data and business automation tools in these sectors – so that we can offer our clients advanced predictive and prescriptive analytics, without additional integration costs.”

The Yandex big data algorithms are based on matching a customer’s profile with another customer who has demonstrated the same purchasing tendencies. In theory, should two customers have a similar profile, predictions on what one will do can be based on the actions of the second. Yandex claims it can reduce the costs of acquiring new and retaining current customers by up to 10%.

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.”

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.

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.

IBM makes software defined infrastructure smarter

IBMIBM has expanded its portfolio of software-defined infrastructure solutions adding cognitive features to speed up analysis of data, integrate Apache Spark and help accelerate research and design, the company claims.

The new offering will be called IBM Spectrum Computing and is designed to aide companies to extract full value from their data through adding scheduling capabilities to the infrastructure layer. The product offers workload and resource management features to research scientists for high-performance research, design and simulation applications. The new proposition focuses on three areas.

Firstly, Spectrum Computing works with cloud applications and open source frameworks to assist in sharing resources between the programmes to speed up analysis. Secondly, the company believes it makes the adoption of Apache Spark simpler. And finally, the ability to share resources will accelerate research and design by up to 150 times, IBM claims.

By incorporating the cognitive computing capabilities into the software-defined infrastructure products, IBM believes the concept on the whole will become more ‘intelligent’. The scheduling competencies of the software will increase compute resource utilization and predictability across multiple workloads.

The software-defined data centre has been steadily growing, and is forecasted to continue its healthy growth over the coming years. Research has highlighted the market could be worth in the region of $77.18 Billion by 2020, growing at a CAGR of 28.8% from 2015 to 2020. The concept on the whole is primarily driven by the attractive feature of simplified scalability as well as the capability of interoperability. North America and Asia are expected to hold the biggest market share worldwide, though Europe as a region is expected to grow at a faster rate.

“Data is being generated at tremendous rates unlike ever before, and its explosive growth is outstripping human capacity to understand it, and mine it for business insights,” said Bernard Spang, VP for IBM Software Defined Infrastructure. “At the core of the cognitive infrastructure is the need for high performance analytics of both structured and unstructured data. IBM Spectrum Computing is helping organizations more rapidly adopt new technologies and achieve greater, more predictable performance.”

Wipro open sources big data offering

Laptop Screen with Big Data Concept.Wipro has announced it has open sourced its big data solution Big Data Ready Enterprise (BDRE), partnering with California based Hortonworks to push the initiative forward.

The company claims the BDRE offering addresses the complete lifecycle of managing data across enterprise data lakes, allowing customers to ingest, organize, enrich, process, analyse, govern and extract data at a faster pace. BDRE is released under the Apache Public License v2.0 and hosted on GitHub. Teaming up with Hortonworks will also give the company additional clout in the market, at Hortonworks is generally considered one of the top three Hadoop distribution vendors in the market.

“Wipro takes pride in being a significant contributor to the open source community, and the release of BDRE reinforces our commitment towards this ecosystem,” said Bhanumurthy BM, COO at Wipro. “BDRE will not only make big data technology adoption simpler and effective, it will also open opportunities across industry verticals that organizations can successfully leverage. Being at the forefront of innovation in big data, we are able to guide organizations that seek to benefit from the strategic, financial, organizational and technological benefits of adopting open source technologies.”

Companies open sourcing their own technologies has become somewhat of a trend in recent months, as the product owners themselves would appear to be moving towards a service model as opposed to traditional vendor. According to ‘The Open Source Era’, an Oxford Economics Study which was commissioned by Wipro, 64% of respondents believe that open source will drive Big Data efforts in the next three years.

The report also claims open source has become a foundation stone of the technology roadmap of a number of businesses, 75% of respondent believe integration between legacy and open source is one of the main challenges and 52% said open source is already supporting development of new products and services.

What did we learn from PwC’s local government survey?

City HallPwC has recently released findings from its annual survey, The Local State We’re In, which assesses the challenges facing local government and their responses to them, as well as looking at public opinion on the organizations capabilities.

Here, we’ve pulled out four of the lessons we learnt from the report:

Data Analytics is top of the agenda for CEOs and Local Government Leaders

A healthy 91% of the Chief Execs surveyed confirmed Data Analytics was an area which they were well equipped. This in fact was the most popular answer for this specific question, as other areas such as business intelligence (59%), supply chain management (55%) and information governance & records management (40%) fared less so.

While it is encouraging the leaders are confident in their team’s ability to perform in the data analytics world, the research also stated local government’s use of structured and unstructured data varies quite considerably. 71% of the Chief Execs agreed they were using structured data (e.g. information in government controlled databases), whereas this number drops to 33% when unstructured data (e.g. social media and data generated through search engines) is the focal point of the question.

As the consumer continues its drive towards digital and the connected world, the level of insight which can be derived through unstructured data, social media in particular, will continue to increase. Back in 1998 Merrill Lynch said 80-90% of all potentially usable business information may originate in unstructured form. This rule of thumb is not based on primary or any quantitative research, but is still accepted by some in the industry. Even if this number has dropped, there is a vast amount of information and insight which is being missed by the local government.

But data driven decision making isn’t

Throughout the industry, data driven decision making has been seen as one of the hottest growing trends, and also as the prelude to the introduction of artificial intelligence.

Despite the media attention such ideas are receiving, it would appear these trends are not translating through to local government. Only 41% of the respondents said their organization is using data analytics to inform decision making and strategy. It would appear local government is quite effective (or at least confident) at managing data, but not so much at using it for insight.

Digital Device Tablet Laptop Connection Networking Technology ConceptPublic is not confident in local government’s ability to embrace digital

Although leadership within the local authorities themselves are happy with the manner in which their organization has embraced digital, this confidence is not reflected by the general public.

76% of Chief Execs who participated in the research are confident in their own digital strategies, however only 23% of the general public are confident in the council’s ability to manage the transition through to digital. This is down from 28% in the same survey during 2015 and 29% in 2014. The findings could demonstrate the rigidity of government bodies, especially at a local level, as it would appear the evolution of emerging technologies is outstripping local government’s ability to incorporate these new ideas and tools.

There is also quite a significant difference in how the public and the Chief Execs view cyber security. While only 17% of the Chief Execs believe their organization is at risk from cyber threats, 70% of the general public are not confident local government will be able to manage and share their personal information appropriately. 2016 has already seen a number of high profile data breaches which could have an impact on the opinions of the general public. If tech savvy enterprise organizations such as TalkTalk cannot defend themselves, it may be perceived that public sector organizations are less likely to do so.

However, local government does have the backing from the public to invest in digital

The general public would not appear to currently have great confidence in the local government’s current ability to embrace the digital age however they have seemingly given their blessing for the local government to continue investments.

39% of the general public who completed the survey highlighted their preference for engagement with local government would be through a digital platform, as opposed to the 24% who would prefer the telephone and 28% who would rather engage in person. Unfortunately, while digital is the most popular option for engaging, only 37% were satisfied with the current digital access to local government, down from 38% in last year’s research.

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.

Note: There is a poll embedded within this post, please visit the site to participate in this post’s poll.

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.”