In our blog, Artificial Intelligence – Hype vs Reality, published last month we explored why the buzz around AI and machine learning have got senior management excited about future possibilities of what technology can do for their business. AI – starting with automation – is being evaluated by organisations across industries. Several functions within an organisation can leverage AI and the technology is set to become part of enterprise solutions in the next few years. AI is fast becoming the tool which empowers business leaders to transform their organisations. However, it also requires a rethink on data integration and analysis, and the use of the intelligence generated. For a successful AI implementation, an organisation will have to leverage other enabling technologies.
Technologies Enabling AI
IoT
Organisations have been evaluating IoT – especially for Industry 4.0 – for the better part of the last decade. Many organisations, however, have found IoT implementations daunting for various reasons – concerns around security, technology integration challenges, customisation to meet organisational and system requirements and so on. As the hype around what AI can do for the organisation increases, they are being forced to re-look at their IoT investments. AI algorithms derive intelligence from real-time data collected from sensors, remote inputs, connected things, and other sources. No surprise then that IoT Sensor Analytics is the AI solution that is seeing most uptake (Figure 1).
This is especially true for asset and logistics-driven industries such as Resource & Primary, Energy & Utilities, Manufacturing and Retail. Of the AI solutions, the biggest growth in 2020 will also come from IoT Analytics – with Healthcare and Transportation ramping up their IoT spend. And industries will also look at different ways they can leverage the IoT data for operational efficiency and improved customer experience (CX). For instance, in Transportation, AI can use IoT sensor data from a fleet to help improve time, cost and fuel efficiency – suggesting less congested routes with minimal stops through GPS systems, maintaining speeds with automated speed limiters – and also in predictive fleet maintenance.
IoT sensors are already creating – and will continue to create large amounts of data. As organisations look to AI-enabled IoT devices, there will be a shift from one-way transactions (i.e. collecting and analysing data) to bi-directional transactions (i.e. sensing and responding). Eventually, IoT as a separate technology will cease to exist and will become subsumed by AI.
Cloud
AI is changing the way organisations need to store, process and analyse the data to derive useful insights and decision-making practices. This is pushing the adoption of cloud, even in the most conservative organisations. Cloud is no longer only required for infrastructure and back-up – but actually improving business processes, by enabling real-time data and systems access.
Over the next decades, IoT devices will grow exponentially. Today, data is already going into the cloud and data centres on a real-time basis from sensors and automated devices. However, as these devices become bi-directional, decisions will need to be made in real-time as well. This has required cloud environments to evolve as the current cloud environments are unable to support this. Edge Computing will be essential in this intelligent and automated world. Tech vendors are building on their edge solutions and tech buyers are increasingly getting interested in the Edge allowing better decision-making through machine learning and AI. Not only will AI drive cloud adoption, but it will also drive cloud providers to evolve their offerings.
The global Ecosystm AI study finds that four of the top five vendors that organisations are using for their AI solutions (across data mining, computer vision, speech recognition and synthesis, and automation solutions) today, are also leading cloud platform providers (Figure 2).
The fact that intelligent solutions are often composed of multiple AI algorithms gives the major cloud platforms an edge – if they reside on the same cloud environment, they are more likely to work seamlessly and without much integration or security issues. Cloud platform providers are also working hard on their AI capabilities.
Cybersecurity & AI
The technology area that is getting impacted by AI most is arguably Cybersecurity. Security Teams are both struggling with cybersecurity initiatives as a result of AI projects – and at the same time are being empowered by AI to provide more secure solutions for their organisations.
The global Ecosystm Cybersecurity study finds that one of the key drivers that is forcing Security Teams to keep an eye on their cybersecurity measures is the organisations’ needs to handle security requirements for their Digital Transformation (DX) projects involving AI and IoT deployments (Figure 3).
While AI deployments keep challenging Security Teams, AI is also helping cybersecurity professionals. Many businesses and industries are increasingly leveraging AI in their Security Operations (SecOps) solutions. AI analyses the inflow and outflow of data in a system and analyses threats based on the learnings. The trained AI systems and algorithms help businesses to curate and fight thousands of daily breaches, unsafe codes and enable proactive security and quick incident response. As organisations focus their attention on Data Security, SecOps & Incident Response and Threat Analysis & Intelligence, they will evaluate solutions with embedded AI.
AI and the Experience Economy
AI has an immense role to play in improving CX and employee experience (EX) by giving access to real-time data and bringing better decision-making capabilities.
Enterprise mobility was a key area of focus when smartphones were introduced to the modern workplace. Since then enterprise mobility has evolved as business-as-usual for IT Teams. However, with the introduction of AI, organisations are being forced to re-evaluate and revamp their enterprise mobility solutions. As an example, it has made mobile app testing easier for tech teams. Mobile automation will help automate testing of a mobile app – across operating systems (Figure 4). While more organisations tend to outsource their app development functions today, mobile automation reduces the testing time cycle, allowing faster app deployments – both for internal apps (increasing employee productivity and agility) and for consumer apps (improving CX).
CX Teams within organisations are especially evaluating AI technologies. Visual and voice engagement technologies such as NLP, virtual assistants and chatbots enable efficient services, real-time delivery and better customer engagement. AI also allows organisations to offer personalised services to customers providing spot offers, self-service solutions and custom recommendations. Customer centres are re-evaluating their solutions to incorporate more AI-based solutions (Figure 5).
The buzz around AI is forcing tech teams to evaluate how AI can be leveraged in their enterprise solutions and at enabling technologies that will make AI adoption seamless. Has your organisation started re-evaluating other tech areas because of your AI requirements? Let us know in the comments below.
Talking about the top 5 global cloud players – Microsoft, AWS, Google, Alibaba and IBM – in the Ecosystm Predicts: The Top 5 Cloud Trends for 2020, Ecosystm Principal Analyst, Claus Mortensen had said, “their ability to compete will increasingly come down to expansion of their service capabilities beyond their current offerings. Ecosystm expects these players to further enhance their focus on expanding their services, management and integration capabilities through global and in-country partnerships.” Google Cloud is doing just that. The last week has been busy for Google Cloud with a few announcements that show that it is ramping up – adding both depth and breadth to their portfolio.
Expanding Data Centre Footprint
This year Google Cloud is set to expand the number of locations to 26 countries. Earlier in the year, Google CEO Sundar Pichai had promised to invest more than US$ 10 billion in expanding their data centre footprints in the USA and they have recently opened their Salt Lake City data centre. Last week Google announced four new data centre locations in Doha (Qatar), Toronto (Canada), Melbourne (Australia), and Delhi (India). With Australia, Canada and India, Google appears to be following the same policy they followed in Japan – where locations in Osaka and Tokyo give customers the option to have an in-country disaster recovery solution. Doha marks Google Cloud’s first foray into the Middle East. While the data centre will primarily cater to global clients, Google has noted a substantial interest from customers in the Middle East and Africa.
Mortensen says, “Google’s new data centres can be seen as an organic geographical expansion of their cloud services but there are a few more factors at play. With data privacy laws getting stricter across the globe, the ability to offer localised data storage is becoming more important – and India is a very good example of a market where keeping data within the geographical borders will become a must.”
“The expansion will also help the development of Google’s own edge computing services going forward. As we noted in our Ecosystm Predicts document, we believe that Cloud and IoT will drive edge computing (which is tightly tied to 5G). Edge computing will function in a symbiotic relationship with centralised data centres where low latency is important. The geographical expansion of Google’s data centre presence will thus also help their push towards edge computing services.”
Google offers their cloud infrastructure and digital transformation (DX) solutions to customers in 150 countries. Not only are they expanding their data centre footprint, but they are also creating industry differentiation. They have targeted industry-specific solutions that deliver new digital capabilities in 6 key verticals – financial services; telecommunications media and entertainment; retail; healthcare and life sciences; manufacturing and industrial; and public sector.
Partnering with Telecom Providers
Last week also saw the unveiling of the Global Mobile Edge Cloud (GMEC) aimed at the telecom industry’s need to transform and the challenges it faces. The telecom industry – long considered an enabler of DX in other industries – stands at a crossroads now. It is time for the industry to transform in order to succeed in a challenging market, newer devices and networking capabilities, and evolving customer requirements – both consumer and enterprise. Talking about the impact of 5G on telecom providers, Ecosystm Principal Advisor, Shamir Amanullah says, “5G is an enterprise play and leading tech giants, carriers and the companies in the ecosystem are collaborating and inking partnerships in order to create solutions and monetise 5G opportunities across industries.”
Google Cloud announced a partnership with AT&T, which is meant to leverage AT&T’s 5G network and Google Cloud’s edge compute technologies (AI and machine learning, analytics, Kubernetes and networking) to develop a joint portfolio of 5G edge computing solutions. This is part of Google’s larger strategy of supporting telecom providers in their efforts to monetise 5G as a business services platform. Through the GMEC, Google Cloud will partner with carriers to offer a suite of applications and services at the edge via 5G networks.
The telecom industry is a key focus as Google aims to help operators take 5G to market, by creating solutions and services that can be offered to enterprises. This includes better customer engagement through data-driven experiences, and improvement of operational efficiencies across core telecom systems. Telecom providers such as Vodafone and Wind Tre are leveraging Google to improve customer experience through data-driven insights.
Amanullah says, “Google Cloud already has thousands of edge nodes inside the carrier networks which will be enabled for use by enterprises, providing access to data analytics, AI and machine learning capabilities. Carriers can offer enterprises these data-driven solutions, to transform the customer experience they offer. Google will also create solutions which will enable carriers and enterprises to improve infrastructure and operational efficiencies through modern cloud-based Operations Support Systems (OSS) and Business Support Systems (BSS).”
Mortensen also thinks that the data centre expansion should be seen in the light of Google’s GMEC push. “Both India and the Middle East are big potential markets via the local telecom providers.”
Google recently announced its ‘Google Cloud Acceleration Program’ to support SAP customers in simplifying their transition to the cloud.
Earlier this year, Google initiated a program known as Lighthouse, in partnership with system integrators, to streamline its customers’ SAP journeys to the cloud. The Google Cloud Acceleration Program is a progression of Lighthouse and will provide technical resource, blueprints, employee training and consulting services to partners and customers for migrating SAP to the cloud, as well as upgrading to SAP S/4HANA.
Google Cloud Acceleration Program Partners’ contributions
Several ISV’s and technology providers are already participating in the program. One of these providers, HCL Technologies, recently announced plans for a 5,000-employee division which will focus entirely on helping enterprise customers plan and execute large-scale migration of workloads and applications to Google Cloud. Accenture and Google set up a similar collaboration earlier this year.
Google’s Cloud Acceleration Program will be supported by partners such as Accenture, Atos, Deloitte, and HCL to help migrate workloads. In addition, these partners will also work alongside Capgemini, DXC Technologies, Hitachi oXya, Infosys, NTT, TCS, and Wipro, to create SAP centres of Excellence for Google Cloud.
Commenting on Google’s Cloud Acceleration Program for SAP platform, Principal Analyst at Ecosystm Claus Mortensen said, “Migrating SAP to the cloud has proven to be a notoriously complex task over the years. To help the migration to Google’s Cloud, Google launched its SAP Lighthouse program. The Cloud Acceleration Program can be seen as an evolution of Lighthouse.”
Mortensen added, “Google Cloud Acceleration Program is intended to make migration as simple as it can be under the circumstances – but I don’t think it will ever be easy to migrate SAP to the cloud – it is too complex a system to become simple to migrate. Whether it will succeed in convincing SAP customers to migrate much depends on how well the program partners perform.”
The primary aim of the Cloud Acceleration Program is to boost the adoption of Google cloud services and benefit customers with greater innovation, operational efficiency, and risk mitigation. Google has been active in promoting the programme and in the same spirit, Google recently acquired CloudSimple, a provider of secure, dedicated environments to run VMware workloads in the Cloud. Many organisations are running VMware in their on-premises environments to run a variety of workloads and this acquisition will boost abilities to run VMware on Google Cloud Platform.
As we recently stated in our predictions for ‘the top 5 cloud trends for 2020′, the ability for even the top cloud players to compete will increasingly come down to their ability to expand their service capabilities beyond their current offerings. Ecosystm expects these players to further enhance their focus on expanding their services, management and integration capabilities through global and in-country partnerships. One particular area might be partnerships focusing on Cloud migration between Clouds and from Cloud to on-premises. Google’s Cloud Acceleration program is a prime example of a framework, that has such partnerships in mind.
Speaking on the benefits of Google Cloud acceleration program for SAP customers, Mortensen said “cloud offers a lot of flexibility and agility that would be hard to achieve using an on-premises deployment. So, from that perspective, the Google Cloud Acceleration program should be good news to both new customers and existing customers, who see a benefit from migrating partly or fully to the cloud.”