As a technology analyst I have followed HCL for many years – and their capabilities have changed over that time – particularly in Australia and New Zealand. When they entered the ANZ market they were somewhat unique – an Indian IT Service provider with views and opinions. One who was not just good at meeting RFP requirements and delivering technology projects, but also individuals who were empowered to challenge the status quo in their clients – to challenge clients to be better. But as several large managed services providers lost their way in ANZ, HCL stepped in and – for a number of years – became all about outsourcing and managed services. They grew their business significantly, but what seemed to be lost was that factor that set them apart. In focusing on good delivery they seemed to lose their differentiator.
However, I recently spent a few days with HCL and their clients in Adelaide and I can report that they are back. They are winning digital transformation deals. They are driving a technology industry agenda and are becoming an important force in the education and evolution of the high tech sector in Australia and New Zealand. Adelaide was chosen for the event as HCL wanted to showcase how they are making real investments in the local market, and how they are helping South Australia to transform itself and create new job opportunities both in Adelaide and in the regions. Their managed services contract with Elders is a great starting point for them – and in meeting and interviewing the Elders stakeholders, it is clear that it is a partnership – HCL has collocated to ensure that the HCL staff are side-by-side with the Elders teams – and they are doing a good job in driving innovation into the Elders business.
The Cricket Australia digital transformation contract is a big deal, and is really a great indicator of their capabilities. HCL won the contract from Accenture – showing that they can compete against and beat the best (Accenture is the biggest IT services provider in Australia today – and for good reason). Building off their success with Manchester United, HCL has won another important digital transformation deal with a global sporting brand. Personally, as a fan of the Australian women’s and men’s cricket team, I look forward to engaging with the fruits of their endeavours soon!
The main take away from the time spent with HCL is that they are growing their business here in Australia and across the entire Asia Pacific region – and that the growth is coming from many areas – not just traditional outsourcing contracts but also across the spectrum of digital transformation. Importantly they are also taking responsibility for that growth – bringing the market along with them as they look to help educate and employ the next generation of technology professionals.
HCL also seem to have mastered the ability to both respond to the standardised processes of the sourcing deal advisors as well as stand out as an individual company. While deal advisors play an important role, I often hear clients say that they can sometimes take the personality out of a deal. They bring comparisons between vendors to standard and measurable metrics – but you sign a deal with a person, you negotiate with a person, and it is people who deliver the solution. Winning deals is not just about proving the ability to deliver, but also convincing the client that they want or need to partner with the IT services business. Based on client feedback, HCL is mastering both sides of this process, and are earning the right to be considered in a broader range of deals.
If you are dealing with HCL, it may also warrant looking beyond the traditional measurable metrics. Speak to their leadership team both locally and globally, especially given their emphasis to bring in local leadership in their key markets . Get a feel for the culture of the company and whether or not it matches your culture or even sometimes challenges your business to be better. Services deals are ultimately about people, so spend time with the people – challenge them to come to the party. Put them under stress and see how they respond, as it is typically the hard times that define the longer term success of a partnership.
I recently attended a briefing with Ramco Systems – if you haven’t heard of them, they are one of an emerging group of software vendors who are challenging the big application software companies – SAP and Oracle. They put innovation at the centre of their business – aiming to constantly drive improvement for their customers, and bringing companies the benefits of systems that consumers see in their web-based and mobile apps but have been sorely missing from the enterprise application market. To be honest they are a breath of fresh air in a market that needs it – and their endeavours are seeing results both in plaudits from analyst firms and new customer wins.
At the briefing, Ramco demonstrated some of the AI capabilities they have been weaving into their software platforms. And in doing so they have shown the gap between today’s systems and systems that actually work for their clients. ERP, HR, Payroll and other enterprise applications are data sinks – they demand constant input, and while they do a good job in automating business processes, they could do so much more.
Within Ramco they have moved away from email completely for employee inquiries – all interactions now happen with their transactional chatbot, including scheduling meetings, checking leave balances, discovering and understanding personal achievements, raising a travel request and claiming travel expenses – as well as understanding company policies and supporting employees with speculative queries. This same bot is available for clients as they aim towards a zero-UI interface – no more logging onto systems and interrogating applications, running searches. Now you ask a question and get an answer – using an IM client or a voice interface (such as Google Home or Amazon Alexa devices). This is the way systems should serve employees.
Like other enterprise application vendors, they have added an AI capability to their platform – but they are taking the extra step to make that AI work out of the box (or the cloud). For example, with all the information in your HR systems (employee skills, time and attendance, incentives, expenses, payroll) they are looking at making that information accessible and actionable for potential users – creating systems that understand the context and anticipate needs.
In your finance or ordering systems, they are applying machine learning so it understands that ‘client A’ tends to order specific items from specific locations – so ordering agents are guided towards those options versus having to scroll through long lists.
(see images for an example of that in the process)
They are recommending where costs should be allocated or validating inputs based on historical learnings. The systems can catch a mistake, errors or even fraud – saving the business significant amounts of money and of time in error correction or re-work.
Ramco’s vision is that agents only have to manage exceptions in enterprise applications – not every single detail. Complete automation is still an unrealistic expectation, but businesses should aim for 85% automation, with 12% of processes needing intervention for mild intervention and 3% needing deep intervention. In Ecosystm’s experience speaking to businesses that have automated to such a degree, an 85% automation does NOT lead to an 85% saving – as you typically automate the easier cases anyway. But the savings should be real and measurable – up to 50% time saving for accounts receivable or payable teams, for payroll teams, for help desks or for other highly manual processes should be achievable.
And while the business case can be built on the saving, the pay-off also comes in happier and more engaged employees who have the information right at their fingertips to make better business decisions or drive smarter business processes.
So why highlight Ramco’s AI capabilities? For a number of reasons:
- For AI to be widely adopted, it needs to be easy and accessible – Many other vendors (the big cloud players in particular) are making AI tools and assets available for customers, but they still have to do the hard work – find a business problem, gather the data, train the algorithm, deploy the algorithm and then train users on the new process. There are hundreds – or even thousands of examples of processes in business that can be made smarter and easier through the use of machine learning and AI – and vendors should be building these capabilities into the products and platforms. Ramco is doing that – they are by no means alone – but they are a good example of a software vendor that is disrupting a market by focusing on helping their customer succeed.
- I believe there is a bigger trend going on in the way businesses buy software (and look out for an upcoming report on this topic). More and more I see businesses adopt the best solution for their needs – NOT the one that does 80% of what they want. And the best software is often built by smaller, more agile companies. They build for specific business needs and specific niches – and they focus on providing exactly what customers want. I am seeing a general move away from the big platform providers towards the smaller ISVs. Partly because they cost less (I regularly hear companies say they saved up to 90% by using a specialist provider!) – but also because they provide the best solution – and businesses can no longer compromise when it comes to driving the best customer and employee experiences. Again, Ramco is a part of this change.
You should demand more from your applications provider – an AI platform is not enough. They need to make your actual application smart – they need to be able to automate processes you are already doing. If you have data the system should be able to learn, they need to focus on making the system work for you, your employees and your customers – not the other way around (as is too often the case). AI needs to be a core component of your business applications, not a bolt-on.
In a move that feels “back to the future”, Salesforce has agreed to acquire Tableau Software Inc for US$15.3 billion in a deal that is expected to close in the third quarter of 2019. It seems all independent BI and analytics companies (except SAS!) eventually get snapped up – Business Objects by SAP, Hyperion by Oracle, Cognos by IBM. The move comes less than a week after Google acquired BI and analytics provider Looker.
Today, many businesses use Tableau (over 86,000), including a lot of Salesforce customers. They have chosen Tableau because it is easy to deploy and use, and like Salesforce own applications, it targets the ultimate decision maker – the business user – and sometimes even the consumer. Recent research into the BI systems integrators in Asia Pacific shows that Tableau is one of the leading analytics platforms for the partner community in the region – the big SIs have many people focused on Tableau. But that dominance is being challenged by a re-energised Microsoft, whose Power BI is also witnessing strong growth – and who is typically the price leader in the market.
For Salesforce customers, there is some overlap between products – their own Einstein Analytics tools do much of what Tableau can do – although Tableau helps customers see insights from data stored both on the cloud and inside their own data centres. It also moves Salesforce closer to the Customer 360 vision – the ability to get a view of customers across the Commerce, Marketing and Service Clouds. Salesforce customers not using Tableau today will get a better user experience by using Tableau as the visualisation platform.
History has shown that it is hard to make such acquisitions successful. Tableau was a huge success because it was independent. The same was for Business Objects and Cognos before their acquisitions. History has shown that when the large BI and analytics vendors are acquired, others move into that space. While Salesforce has announced they will run Tableau as a separate business, it will no longer be independent. Partners will need to be maintained and provided a growth path – and partners are the cornerstone of Tableau’s success. Some of these partners might have strong ties to other software or cloud platforms too such as SAP, Oracle, AWS or Google. Customers of Tableau might feel sales pressure to move to a Salesforce environment – and will likely see Salesforce integration happen at a deeper level than on other platforms.
Tableau’s independence will disappear. However keeping Tableau as a separate business may not be the long term goal for Salesforce – it might be to offer the best application and analytics solution in the market – to make the entire suite more attractive to more potential buyers and users. It may be to take Salesforce beyond the current users in their customers to many other users who may not need the full application but need the analytics and visualisations that the data can provide. If this is the case, then the company is onto a winner with the Tableau acquisition.
BUT…
The long term goal is not analytics reports delivered to employees. It is not visualisation. It is automation. It is applications doing smart, AI-driven analysis, and deciding for employees. It is about taking the human out of the process. In a factory you don’t need a report to tell you a machine is down – you need to book a repair person automatically – or a service technician to visit before the machine has even broken down. And you don’t need a visualised report to show that a machine is beyond its life expectancy. You need the machine replaced before it fails catastrophically.
Too often, we are putting humans in processes where they are not required. We are making visualisations more attractive and easier to consume when, in reality, we just needed the task automated. While we employ humans, there will be a need to make decisions more effectively, and we will still require tools like Tableau. But don’t let the pretty pictures distract you from the main prize – intelligent automation.
If you would like to speak to Tim Sheedy or another analyst at Ecosystm about what the acquisition Tableau by Salesforce might mean to your business or industry, please feel free to schedule an inquiry call on the profile page.
I ran several roundtables over the past few weeks speaking to business and technology leaders about their AI investments – and one factor came up many times – that it is hard to build a business case for AI because 70% accuracy was not good enough…
What this means is that companies have thousands of things to automate. Most of those automations in the short-medium term will deliver 100% accuracy using RPA and other simple automation tools. Every time you run that process you know the outcome.
Along Comes AI and Machine Learning
These dumb processes can now learn – they can be smart. But originally they won’t deliver 100% accuracy. They might only deliver 60-70% to start with – climbing perhaps to 90%. The benefits of these smart, learning processes can amaze – costs can fall, processes can improve, outcomes can accelerate. But traditionally we have built technology business cases delivering 100% accuracy and outcomes.
So we need a new way to think about AI and a different language to use about the way it works. The people who sign off on the business cases might not understand AI – they will come to the business case with the same lens they use for all technology investments (and evidently – all business investments). We also need to be better at selling the benefits to our leaders. CEOs and Managing Directors in the roundtables are surprised to hear that AI won’t deliver 100% accuracy – they said unless they know more about the capability, savings and outcomes that the solution might drive, they are unlikely to fund it.
Make Your Dumb Processes Smart
I take this as good news. It means we have moved beyond the hype of AI – the need to “do AI in our business” that drove many of the poorer chatbots and machine learning projects. It means that businesses review AI investments in the same way as any business investment. But it also means we can’t over-promise or under-deliver on AI. Woodside did this with their initial foray into AI, and they are still playing catch up today.
While there are many opportunities to use “dumb automation” and save money, reduce or redeploy headcount – or have employees focus on higher value activities or make real differences to customer experiences – there are as many opportunities to make dumb processes smart. Being able to automatically read PDF or paper-based invoices – processes usually done by humans – could be a huge saving for your business. OK – maybe you can’t redeploy 100% of the staff, but 70% is still a big saving. Being able to take human error out of processes will often help to save money at two steps on the process – automating the human input function up front and also getting rid of the need to fix the mistake.
Start Your AI Journey With The Low Hanging Fruit
Ecosystm’s Global Ongoing AI study has shown that most businesses are focusing their AI investments on internal initiatives – on reducing process time, cost savings and driving productivity – which makes the most sense today. They are the easier business cases to build and the easiest benefits to explain.
Perhaps AI is also a chance for businesses to acknowledge that “efficient” does not always mean “good”. Many of the processes we automated or coded to ensure 100% compliance don’t give customers or employees what they are looking for. And maybe making the customer happy 70% of the time is better than not making them happy at all…
If you’d like to dig deeper into Ecosystm’s reports exploring the data from our ongoing AI study – check them out here (you’ll need to register if you have not already – it is free to register, but some content is premium):
4 Vendors Emerge as Leaders: Understanding the AI Vendor landscape
Use Cases Drive AI Software Adoption: Understanding The Industry Landscape
Today Samsung announced their new “Samsung Galaxy Fold” device – and while it won’t be available until at least April 26. This foldable hybrid phone/tablet device is not the first foldable phone – but it will likely be the first one to have mass market availability and will be the first that businesses consider deploying.
But what is the business opportunity for the Samsung Galaxy Fold? It is not a slim, sexy phone, and it is not a large screen tablet like an iPad or Galaxy Tab S4 (although the screen is actually bigger than the smaller screen Tab A 7” tablet). It will be an expensive device (US$1,980) – but depending on the configuration will likely be cheaper than a high-end phone plus a high-end tablet. It doesn’t come with a stylus, but has the ability to help users multi-task (supporting up to three apps at the same time) and also supports DeX – Samsung’s under-rated ability to turn the phone into a PC-like experience. It also supports Samsung Knox, so the security capabilities that Samsung is becoming well known for will be supported by the Galaxy Fold.
Initially, it looks like a device that could replace the “phone and tablet” combination, but the reality is that many of the types of role that have both devices (engineers, repair people etc) typically require ruggedized devices – even a white goods repair person is working in wet and dirty environments and would at least have some type of case on their device. The unique nature of the Galaxy Fold likely prohibits a ruggedized case – and possibly any case at all (as the fingerprint sensor is on the side of the device).
A “Shareable” Device
One factor that strikes me about the Fold is the fact that large screens not only make content easier to consume – but also easier to share. Travelling salespeople – who typically do meetings in cafes or offsite meeting rooms often pull out their tablet or laptop to demonstrate a product or show a presentation or video. Laptops are not great for this – as the interface is designed for one user – not multiple, and many don’t have 4G connections.
You often see software salespeople pull out their tablet to demonstrate their SaaS platform – so this is one of the use cases for the Galaxy Fold – it is a pocketable tablet that has 4G (or 5G) connectivity. Any situation where a white collar executive is sharing information is a potential opportunity for the Galaxy Fold. Only time will tell whether such executives are willing to accept the compromises (thicker device, smaller front screen).
The Ultra-Portable Laptop
The Fold could be the device that shows the real benefit of Samsung DeX – the extra memory and processing power might convince some businesses or end-user computing teams to dump the laptop for some of their employees – and give them a device that can be a phone, tablet and PC. Carrying your laptop between work and home in your pocket might be an attractive option for some users.
An Executive Status Symbol
The Fold will make its way into the senior management ranks too. The device will draw attention and interest – so those who seek such attention will be drawn to it. But if you look around the senior executive community you see those who don’t mind having a larger device in their pocket normally do so because they have covered the phone in a massive “Otter Box” case – they are looking to protect their asset – again the lack of protection may be an inhibitor for this buyer. And the other execs who like a slim, sexy device may be put off by the size. It is hard to know exactly where the Galaxy Fold will land.
Whatever happens, it is great to see the rate of innovation in the smartphone market start to accelerate again after 3-4 years of stagnation. From an engineering and design perspective, the Fold looks incredible. What role it takes in the end-user computing strategy of businesses across the globe isn’t yet clear – but the idea of a device that helps your business users better share content could certainly be an opportunity.
If you’d like to discuss your End User Computing strategy feel free to reach out to me at: tim.sheedy@ecosystm360.com – or if you have any thoughts of other use cases for the Samsung Galaxy Fold please post them in the comments below – let’s keep the conversation going!
For most companies, End-User Computing (EUC) is considered an expense to the business. EUC strategies are typically exercises in cutting costs – with often not much more than lip service given to the needs of employees (or employee personas). I know – I help companies write these strategies, and the costing component is always the piece that gets the strategy over the line.
But the winds are changing. Employee Experience (EX) is taking off as a serious business initiative. For example:
- Edmunds.com wrapped the traditional Facilities and Human Resources functions into a combined WEE Team which represents Workplace and Employment Experience. They engaged in a campaign to rid the company of the term “Human Resources”
- Airbnb has a dedicated team to “drive the company’s health and happiness”
- Nitro has “turned old-school HR on its head and instead created Employee Experience (EX)
In our upcoming CX research, the early data is showing that EX is the number two initiative for businesses across the globe in 2019. And for information workers, the technology that sits in front of them is a HUGE component of their experience – and their ability to get and stay productive.
Productivity Should Be The Focus Of Our EUC Strategies
Smart businesses understand that. They allow employees to choose (or bring) the devices that they need to remain productive. While desktop PCs might not be making a comeback, they are increasingly being adopted as an alternative to the “laptop as one device” strategy that many businesses embrace. Sometimes a powerful computer with a big screen (or multiple screens) is what people need to get the job done. Other times a small form factor desktop is perfect. Employees may need tablets or smartphones. And other times they need regular laptops, convertibles, or 4G connected laptops. Smart businesses also focus on seamless security – knowing that security is a key enabler of productivity. We are seeing that “The best, most secure device for the job” is taking off as a EUC hardware strategy in businesses that are striving to build a productive and enjoyable employee experience. This helps them to keep employees productive and will help them attract and retain the best talent.
And EUC goes beyond the device to the entire user experience
Collaboration initiatives often disappoint. Limited adoption, and limited interoperability between applications limits effectiveness. There is often a disconnection between the collaboration system and how it helps employees hit their goals. Microsoft is currently rebooting its collaboration strategy – and has created a more modern system that more closely mimics the processes of a typical information worker (Teams). Slack is also taking the world by storm – as it is a collaboration tool that helps people the way they work today – it doesn’t require any training.
IT Operations professionals need to take a fresh look at EUC – but this time within the context of the other initiatives in your business. Do you already have a team focusing on EX? Are there initiatives you can help with – or piggyback on? There is real academic research proving the link between happiness and productivity – or the “state of flow”. IT holds the key to productivity – and therefore happiness – for information workers in particular – it’s time to step up and put employee experience and productivity – not costs – at the centre of our IT end-user computing strategies.
I recently published my predictions on AI (see blog here and download or view the more comprehensive report here). The prediction that got the most feedback and discussion concerns the likelihood of a large acquisition or merger based on AI assets. With AWS, Microsoft, Google and IBM dominating Ecosystm’s list of current and future preferred AI suppliers in our AI study, other companies (such as SAP, Oracle, SAS and Salesforce) want to be the choice for AI platform. As we published our AI predictions, this one was already coming true (to an extent anyway!) with SAP’s acquisition of Qualtrics.
But the question has been asked “why is AI so important”. And my answer to that question is “because, for software companies, AI is the end game…”
What do I mean by that? Well we are not too far away from a day where traditional enterprise applications are no longer relevant. ERP, CRM, HRM, SCM etc will all disappear and be replaced by an AI engine. The purpose of those traditional systems was to simplify, codify, and automate business and customer processes. ERP, CRM, and the rest are already starting to use algorithms to drive semi-custom (typically pre-coded) business processes. But in the mid-term future, we will have a time where the entire process is intelligent – where the system/application creates the best business process for the customer on the fly. I’ll take you through an example:
A customer comes to your website – the site will look at the information it has on the customer (either as a registered customer or a non-registered one, where it will scour cookies, IP addresses, location, social information – Facebook, Pinterest, Google etc) and then will create an experience designed for that customer – e.g. it might know the customer is based in New York City, is a Mets and Rangers fan, viewed posts on Facebook about global warming, is female, 42 years old, has kids etc. It uses the language of the customer, words that they would relate to, and the level of detail they would expect. It puts the products or services forward that best match that customer’s potential needs.
The customer orders 10 identical products as gifts for friends for Christmas – but the provider does not have a location with any more than 4 of those products – so the intelligent system sources the 10 from different locations and organises multiple shipments. One of the locations can’t ship until after xmas – but the intelligent system decides that the customer is important so puts in a request for Uber to pick up from that location and do the delivery. However, there is no automatic integration with Uber – so the intelligent system creates a real time custom integration with Uber.
The customer also asks the question if they can pay with AliPay – which the supplier does not accept as standard – however again the intelligent system creates a real time integration with AliPay in order to complete the transaction. The customer gets the goods they want – quickly – and gets to pay in the way they want. The system accounts for the revenue and moves it to the right bank accounts, co-ordinates follow-up orders with suppliers, and adds the sales information to the real-time sales analytics. It also crafts a unique email welcoming the customer and adds them to the customer database.
The intelligent system created a unique process in real-time as it interacted with the customer using text, images, video and voice. The system understands what your business is trying to achieve and what the rules are.
Such a capability is not that far away – and it makes existing enterprise applications and integration platforms redundant. THIS is why AI is the end game – if you aren’t the chosen AI platform in your customers, you might not be in your customers plans for much longer.
In most organisations that transition will be slow – applications will get smarter, and will move from standardised processes to unique processes slowly. These organisations will start from their application investments and work outwards from there. But other companies will start from their cloud-based AI platforms and partners – and reinvent their businesses in the cloud on these platforms. Others will do both – and at some stage in the future need to decide on which AI platform they standardise on…
Therefore mergers and acquisitions in the AI market are inevitable. Applications, cloud and analytics providers will build and buy capabilities, customers and market share in order to position themselves as the key AI platform in their clients. For many technology vendors, the next few years will be integral to their long term success. AI will change the technology provider landscape as we know it today – get strapped in for a fun ride!
The growth in public cloud platforms and applications is just starting to hit its strides. In 2019, more companies will spend more money moving more of their applications and processes across to the public cloud. Many cloud markets will move into hypergrowth. Cloud computing adoption is moving beyond the fast adopters to the mass market – so dynamics are changing. Our top five predictions for 2019 are:
Many SaaS Applications Will Move into Hypergrowth
If you think that the software-as-a-service (SaaS) market is a mature one, think again. Yes, cloud-based solution providers such as Salesforce have a lot of customers for their CRM and Marketing platforms, as do vendors such as Microsoft and Google for their collaboration suites – but even the cloud-based CRM market is set to explode in 2019 as the number of companies looking to deploy SaaS-based applications nearly doubles. Most companies across the globe still have most of their applications hosted in their own or partner data centres. The opportunity in the SaaS market is still huge – and will be that way for years to come. SaaS-based BI & Analytics will move from 10% of companies using it today to 21% in 2019, marketing applications from 10% to 24% and UC&C from 11% to 21%.
Security Will Return to Being the Number One Barrier to Public Cloud Adoption
As the cloud providers start to penetrate the “mass market” – involving companies that are not fast adopters and do not push the envelope and procrastinate over big technology or business decisions – expect the question of security to come up again. And again. And again… When public cloud first entered the business consciousness 10-12 years ago, security was the number one reason why companies did not embrace it. It slipped down the list over the past few years as more leading, fast moving businesses overcame this objection – but with more companies looking to implement public cloud services, more of the objectors are coming back out of the woodwork to make security a number one blocker again.
Partners Will Come Back into Fashion for Cloud Deployments
The very first companies to move to public cloud platforms or software typically used a partner – they were going where few had been before, and they relied on the expertise of external providers to help them make the move. But the past five or so years have seen many businesses eschew partners in the move to the public cloud – as they looked to learn the skills that they require both to make the transition and for the ongoing management and automation of the cloud environment, themselves. But as the market for public cloud software and platforms moves into hypergrowth, more companies will look to partners to help them with the transition to cloud – and more importantly – the ongoing management of their cloud environments.
Cloud Ecosystems Will Accelerate the Adoption of Artificial Intelligence Solutions
Today nearly every software provider is looking at the opportunity to make their software smart – to have the software learn, predict, personalise, see, sense or converse. Some have started by building their own AI tools – but these companies are learning that these tools are more lines of code that need to be maintained, secured, evolved and improved. Smart ISVs are building their AI capabilities using the tools that already exist on the public cloud platforms. In fact, this move is seeing more ISVs move away from hosting the cloud version of their software from their own cloud platform to one of the big five or six public cloud platforms. As more ISVs make their software intelligent, more customers will be able to adopt AI solutions that are embedded in their existing software tools and platforms.
Companies Move to the Cloud for the Features and Functions, but Will Stay for the User Experience
While companies might move to the public cloud because of the features, functions, technical capabilities or in-country data centres, what keeps customers on cloud platforms is the user experience. Some of the global public cloud platforms and software providers have not created the best user experience – yes, the technologists and developers might love them, but cloud usage is quickly moving beyond the technology team. AI tools need to be used by data scientists and product managers, while automation tools will be used by Customer Experience professionals. Business analysts want to be able to create or vary processes without the intervention of the IT team or cloud management partner. User experience will be key to increasing cloud usage within existing customers.
For access to the full report, please follow this link.
Artificial Intelligence (AI) will change the way businesses operate, and the way customers interact with your company or brands. It will also create new markets and eradicate existing ones. 2019 will be the year that some AI technologies approach mass-market adoption. It will also be the year that businesses start to sort out their data requirements for AI, amid a complex data privacy regulatory environment. But most of all, 2019 will be the year that AI starts to impact employee and customer experiences – from the board room to the living room. Our top five predictions for 2019 are:
Machine Learning and IoT Sensor Analytics Will Drive AI Growth In 2019
The Global Ecosystm AI Study shows that the growth in AI over the next 12 months will come from Machine Learning (ML), as this capability is applied to a plethora of problems and challenges across the business. IoT Sensor Analytics will also see strong growth – due to the growth in IoT implementations and subsequent exponential growth of the data coming off these sensors and the desire to do something intelligent/different with this data.
The Growth in IoT Will Fuel the Growth in AI
Today, many organisations are deploying IoT solutions. These sensors are already creating – and will continue to create large amounts of data. While these sensors today are, for the most part, one-way (i.e. collect and analyse data), we are getting closer to the point where many of these sensors will be bi-directional (i.e. sense and respond). Businesses will look to AI tools – particularly IoT Sensor Analytics and ML – to help them learn from that data and respond accordingly. In many ways the future success of IoT and AI are interdependent.
In the Short Term, AI Will Create More Jobs than it Removes
Much of the media focus on AI has been around the jobs that will disappear in economies driven by AI and the automation that it will enable. But in 2019 (and over the next few years), AI will create more jobs than it removes. How is this? Firstly, we are seeing AI do a lot of jobs that are not even done today – analysing images for trends that humans did not see, looking for correlations in data sets that we did not know existed. Secondly, even where automation and AI are driving productivity, the vast majority of organisations are taking the opportunity to reskill those people. AI-driven profit will be ploughed back into businesses and create more employment opportunities – some of which we can imagine today and some we cannot. Thirdly, there is the vast hiring that organisations have started to undertake to bring on board the skills they will need to make their business smarter with AI. Many of these jobs today are in addition to, not replacing existing resources.
Bimodal IT Departments Will Slow Down AI Implementations
Many of the digital capabilities that businesses have been building over the past five or so years have not required active participation by the IT team. What started as “shadow IT” initiatives became the standard way to deliver customer and business value as smart organisations pushed their technology resources into the product and customer teams, so they could drive innovation at pace. But AI initiatives involve training algorithms with data – the more data the better the algorithms. Business leaders will need to work with IT to get access to this data – that typically resides in “back-end” systems – to train their models. At this step, many bimodal IT departments will kick the project into slow mode, because the data sits in “slow mode” back-end systems. The project will be managed with “slow mode” processes, using heavy-handed governance and processes to turn what could have been a six-week project into a six month one.
A Merger of Massive Scale Will be Driven by AI Assets
According to the Global Ecosystm AI Study, Microsoft, IBM, AWS and Google account for 62% of current and planned AI implementations – and that dominance is set to continue for the foreseeable future. This means a lot of other big companies miss out. SAP, Oracle and Salesforce are hoping that AI will help them get deeper within their existing customers and also expand beyond their current client base. Therefore, we expect a massive merger (in USD billions) driven by the AI customers and assets of the technology vendor. Technology companies that are used to dominating their industries – Cisco, HPE, Dell EMC, SAS and others could be left behind if they do not get scale quickly in the AI space – so a major merger is on the cards.
For access to the full report, please follow this link.