The Elements of Digital Business

Digital Transformation in any sector

My Matrix Sosialisasikan Peranan Internet dalam Industri 4.0

My Matrix menggelar Tenant Gathering yang bertempat di Chase Plaza Jakarta, 29 November 2018. Acara dihadiri oleh 22 perusahaan dari berbagai latar belakang bisnis.

INFO NASIONAL - Memasuki era industri 4.0, jaringan komunikasi dan arus data menjadi tumpuan pertukaran informasi secara real time, sehingga koneksi yang andal menjadi pondasi yang amat penting bagi setiap bisnis. Berangkat dari hal ini, My Matrix semakin giat memperluas jangkauan demi melayani semakin banyak perusahaan dengan layanan internet serta infrastruktur jaringan yang berkualitas tinggi dan dapat diandalkan setiap saat.

Untuk itu, setelah selesai dengan rangkaian canvassing yang ditutup dengan open booth di Menara Batavia pekan lalu, My Matrix kini menggelar Tenant Gathering di Chase Plaza Jakarta. Acara yang berlangsung Rabu siang, 29 November 2018 dihadiri 22 perusahaan dari berbagai latar belakang bisnis.

"Kita harus melakukan perubahan terhadap sistem bisnis kita, kalau tidak kita akan ketinggalan," ujar GM Business Development dan Business Partnership PT NAP Info Lintas Nusa Renold Rachman mengawali pemaparannya.

Senada dengan itu, Nusa Herlambang, GM Sales & Marketing PT NAP Info Lintas Nusa juga menggarisbawahi peran strategis internet bagi perusahaan masa kini. Inilah, ujar beliau, yang mendorong My Matrix semakin giat berinovasi demi menolong para pengguna menghadapi persaingan bisnis yang semakin ketat.

“Dengan brand My Matrix, kami terus mengembangkan sayap untuk menjawab kebutuhan infrastruktur jaringan dan teknologi informasi perusahaan di seluruh penjuru Tanah Air,” katanya.

Selain diisi dengan perkenalan perusahaan dan produk My Matrix, acara ini turut menghadirkan Ketua DPD APTIKNAS (Asosiasi Pengusaha Teknologi Informasi dan Komunikasi Nasional) DKI Jakarta Fanky Christian, yang menyampaikan besarnya perhatian serta upaya pemerintah Indonesia dalam mendorong perkembangan industri 4.0.

My Matrix merupakan penyedia infrastruktur jaringan serta teknologi informasi dari PT NAP Info Lintas Nusa. Keunggulan My Matrix terletak pada penggunaan infrastruktur kabel serat optik berkualitas tinggi Matrix Cable System(MCS) diperkuat dengan Matrix Cable Internet Exchange (MC-IX) yang terkoneksi dengan penyedia OTT (Over the Top) dan CDN (Content Delivery Network) di seluruh dunia.(*)

sumber: https://nasional.tempo.co/read/1150901/my-matrix-sosialisasikan-peranan-internet-dalam-industri-4-0/full&view=ok

Where is the value in digital marketing

Digital Transformation

Social Media Strategy

Industrial IoT

Trend di Social Media

10 Strategic Technology Trends for 2019 by Gartner

7 hal keluaran dari Artificial Intellegence

Automation dan AI akan merubah kebutuhan SDM masa depan

How much data in #smartcity ?

How to manage the smart city jigsaw with PRTG

How to manage the smart city jigsaw

Infrastructure monitoring provider explains how to put the pieces together.

By Peter Gutierrez on Feb 9 2017 10:43AM

inShare

There are cities that are deploying connected technologies in isolated areas such as waste management or street lighting, but according to one senior industry executive, a truly smart city brings these component parts together, with data and insights being shared across all departments.

“There are a lot of systems out there, a lot of sensors, and a lot of equipment that’s capable of providing the information to be used in a smart city program,” said Andrew Timms, Paessler AG sales director for the APAC region. 

“However, they’re not currently being utilised because that information is not currently being connected. They haven’t connected the pieces together, and they’re not pulling all the information from those devices.

“Something like a CCTV camera might have certain information that comes from it that is being stored on a central system, but there’s a lot more information that a system like PRTG could obtain from the device by connecting to it.”

PRTG is Paessler AG’s infrastructure monitoring platform, and can overlay information from a given device with data from other sources, providing a more complete picture of a smart city’s operations.

“The platform allows city councils to put together the pieces they’ve already got with minimal spend,” Timms added.

More than just infrastructure monitoring

An infrastructure monitoring platform like PRTG is critical to ensure the stability of a smart city network, more so than in a traditional corporate network, according to Timms.

A traditional corporate network would typically consist of desktops, laptops, printers, and perhaps thin terminals towards the edge of the network, and classic server or cloud infrastructure in the back-end. Such a setup is relatively easy to manage from a capacity planning perspective, as resource usage can be reliably estimated for various scenarios.

However, a smart city could consist of a wide variety of hardware devices, each with its own data payload and network usage intervals.

These systems also tend to be connected to critical physical infrastructure, and will be subject to wider variations in operating conditions and usage scenarios.

Furthermore, the segregation of city departments means that connected systems can often be implemented and operated independent of a central control system or with a lack of visibility of these systems across departments.

To bring these systems together could potentially shine a light on previously unknown network devices, much like the ‘shadow IT’ that corporate network administrators have to contend with.

This uncertainty can inevitably lead to insufficient network provisioning when these disparate systems are eventually interconnected, according to Timms.

“To begin to start looking at these systems, councils can put a platform in place to look at their connected systems and their underlying infrastructure as well,” he explained.

“In any large-scale project, you’ve got to have a good understanding of what’s happening now, and then you need to move into what could potentially be the future.

“Outside of the networking diagnostic architecture that we’ve got, we can then start looking at some of those other systems that councils want to put in place.”

Simplifying system administration

One of the key advantages of the PRTG platform is that it contains automatic agents, or ‘remote probes’ to sniff out connected infrastructure at the time of platform installation, and then at regular intervals throughout day-to-day operation, according to Timms.

This not only simplifies the rollout of its monitoring capabilities, but also ensures that any new infrastructure added is incorporated into the wider system in a timely manner.

This would be especially useful in smart city developments, where device rollouts occur at different times due to staggered project completion dates.

“PRTG uses these automatic agents to go out, scan the network, poll the devices, and call the information back in to the central repository,” Timms said.

“Then it’s a matter of categorising the detected devices by type, location, or whatever criteria the user chooses.

“The beauty of the tool is that once we have it in place, what we can do then is trigger automatic, periodic scans for new devices, which gives smart city system administrators an accurate at-a-glance view of their networks at any time.”

source: https://www.iothub.com.au/news/how-to-manage-the-smart-city-jigsaw-450481

Your company need these strategies

CLOUD, FOG AND EDGE COMPUTING – WHAT’S THE DIFFERENCE?

Organizations that rely heavily on data are increasingly likely to use cloud, fog, and edge computing infrastructures. These architectures allow organizations to take advantage of a variety of computing and data storage resources, including the Industrial Internet of Things (IIoT). Cloud, fog and edge computing may appear similar, but they are different layers of the IIoT. Edge computing for the IIoT allows processing to be performed locally at multiple decision points for the purpose of reducing network traffic. WinSystems’ expertise in industrial embedded computer systems can leverage the power of the IIoT to enable the successful design of high-performing industrial applications.

Cloud Computing

Most enterprises are familiar with cloud computing since it’s now a de facto standard in many industries. Fog and edge computing are both extensions of cloud networks, which are a collection of servers comprising a distributed network. Such a network can allow an organization to greatly exceed the resources that would otherwise be available to it, freeing organizations from the requirement to keep infrastructure on site.  The primary advantage of cloud-based systems is they allow data to be collected from multiple sites and devices, which is accessible anywhere in the world.

Embedded hardware obtains data from on-site IIoT devices and passes it to the fog layer. Pertinent data is then passed to the cloud layer, which is typically in a different geographical location. The cloud layer is thus able to benefit from IIoT devices by receiving their data through the other layers. Organizations often achieve superior results by integrating a cloud platform with on-site fog networks or edge devices. Most enterprises are now migrating towards a fog or edge infrastructure to increase the utilization of their end-user and IIoT devices.

The use of WinSystems’ embedded systems and other specialized devices allows these organizations to better leverage the processing capability available to them, resulting in improved network performance. The increased distribution of data processing and storage made possible by these systems reduces network traffic, thus improving operational efficiency. The cloud also performs high-order computations such as predictive analysis and business control, which involves the processing of large amounts of data from multiple sources. These computations are then passed back down the computation stack so that it can be used by human operators and to facilitate machine-to-machine (M2M) communications and machine learning.

Fog Computing

Fog computing and edge computing appear similar since they both involve bringing intelligence and processing closer to the creation of data. However, the key difference between the two lies in where the location of intelligence and compute power is placed. A fog environment places intelligence at the local area network (LAN). This architecture transmits data from endpoints to a gateway, where it is then transmitted to sources for processing and return transmission. Edge computing places intelligence and processing power in devices such as embedded automation controllers.

For example, a jet engine test produces a large amount of data about the engine’s performance and condition very quickly. Industrial gateways are often used in this application to collect data from edge devices, which is then sent to the LAN for processing.

Fog computing uses edge devices and gateways with the LAN providing processing capability.  These devices need to be efficient, meaning they require little power and produce little heat. Winsystems’ single-board computers (SBCs) can be used in a fog environment to receive real-time data such as response time (latency), security and data volume, which can be distributed across multiple nodes in a network.

Edge Computing

The IoT has introduced a virtually infinite number of endpoints to commercial networks. This trend has made it more challenging to consolidate data and processing in a single data center, giving rise to the use of “edge computing.” This architecture performs computations near the edge of the network, which is closer to the data source.

Edge computing is an extension of older technologies such as peer-to-peer networking, distributed data, self-healing network technology and remote cloud services. It’s powered by small form factor hardware with flash-storage arrays that provide highly optimized performance. The processors used in edge computing devices offer improved hardware security with a low power requirement. WinSystems’ industrial embedded SBCs and data acquisition modules provide gateways for the data flow to and from an organization’s computing environments.

The IIoT is composed of edge, fog and cloud architectural layers, such that the edge and fog layers complement each other. Fog computing uses a centralized system that interacts with industrial gateways and embedded computer systems on a local area network, whereas edge computing performs much of the processing on embedded computing platforms directly interfacing to sensors and controllers. However, this distinction isn’t always clear, since organizations can be highly variable in their approach to data processing.

Edge computing offers many advantages over traditional architectures such as optimizing resource usage in a cloud-computing system. Performing computations at the edge of the network reduces network traffic, which reduces the risk of a data bottleneck. Edge computing also improves security by encrypting data closer to the network core, while optimizing data that’s further from the core for performance. Control is very important for edge computing in industrial environments because it requires a bidirectional process for handling data. WinSystems’ embedded systems can collect data at a network’s edge in real time and process that data before handing it off to the higher-level computing environments.

Summary

The growth of the IIoT has increased the need for edge, fog, and cloud platforms. WinSystems provides high-performance embedded systems that can be utilized in industrial environments to enable solutions for edge computing requirements and gateways within the fog platforms. Our embedded systems thus allow you to leverage your particular IIoT hardware and network infrastructure

Source: https://www.winsystems.com/cloud-fog-and-edge-computing-whats-the-difference/

IDC Top 10 Predictions For Worldwide IT, 2019

Louis ColumbusContributor

Enterprise & Cloud

ISTOCK

• IDC forecasts AI solutions will permeate enterprise applications and deliver over $52B in global market revenue by 2021, attaining a compound annual growth rate (CAGR) to 46.2% through 2021.
• By 2024, AI-enabled user interfaces and process automation will replace one-third of today's screen-based apps. By 2022, 30% of enterprises will use conversational speech tech for customer engagement.
• By 2022, the top four cloud "mega platforms" will host 80% of IaaS/PaaS deployments, by 2024, 90% of Global 1000 organizations will mitigate lock-in through multi- and hybrid cloud technologies and tools.
• IDC forecasts global spending on security solutions will reach $120.7B in 2021 with a 2018-2021 CAGR of 10.0%.

Calling the rapid digitization of competitors and industries a clock ticking loudly in the heads of every CEO, IDC advises enterprises that if they're not digitally transforming their companies at an aggressive pace, that by 2022, just over two-thirds of their total addressable markets will be gone. Nothing short of a wholesale reinvention of enterprises' digital innovation capabilities is needed. These and many other insights are from IDC FutureScape: Worldwide IT Industry 2019 Predictions, the research and advisory firms’ top 10 predictions and key drivers for the IT industry over the next five years. It’s an informative, quick read and it’s available for everyone to download from the IDC site here (PDF, 26 pp., opt-in).

IDC often ranks their predictions by cost/complexity to address and prediction timing. The following graphic provides their top 10 predictions for 2019 ranked by these two factors:

SOURCE: IDC FUTURESCAPE: WORLDWIDE IT INDUSTRY 2019 PREDICTIONS,

IDC Top 10 Predictions For Worldwide IT, 2019

• Prediction 1: Digitized economy. By 2022, 60%+ of global GDP will be digitized, with growth in every industry driven by digitally enhanced offerings, operations, and relationships and almost $7 trillion in IT-related spending in 2019–2022.

The most effective digitally-driven initiatives in business today balance digital business optimization and the creation of new business models through digital business transformation. IDC believes the most effective organizations at digital transformation balance these two broad initiatives to deliver measurable financial results. It’s easier to sell digital business optimization internally to a CEO and board of directors because these are the strategies focused on improving productivity, increasing revenue from existing products and delivering a better customer experience. It’s more challenging to reinvent core business models, so they are competitively strong enough to deliver revenue quickly.  IDC says every business must take on this challenge or risk two-thirds of their addressable market vanishing by 2022. Amazon’s prolific ability to generate new business models and aggressively grow revenue is a case in point.

• Prediction 2: Digital-native IT. By 2023, 75% of all IT spending will be on 3rd Platform technologies, as over 90% of all enterprises build "digital native" IT environments to thrive in the digital economy.

IDC sees 3^rd Platform technologies dominating enterprise IT spending in five years, with legacy systems selectively being used to support digital transformation. Distributed cloud, AI at the edge, hyperagile app technologies and architectures, and AI-powered voice UIs are integral to how organizations will use 3^rd Platform support to enable digital transformation.

• Prediction 3: Expand to the edge. By 2022, over 40% of organizations' cloud deployments will include edge computing and 25% of endpoint devices and systems will execute AI algorithms.

AI services will be the most transformational of public cloud capabilities being deployed across the distributed/edge cloud foundation by 2022 according to IDC’s prediction. Also by 2022, any endpoint device on a cloud-enabled network will be performing AI-driven inferencing and relying on machine learning algorithms to continually “learn” which predictive analytics algorithm works best for a specific situation.

• Prediction 4: AppDev revolution. By 2022, 90% of all new apps will feature microservices architectures that improve the ability to design, debug, update, and leverage third-party code; 35% of all production apps will be cloud-native.

Being able to develop new apps at scale using microservices architectures will be the new normal in 2022 according to IDC. This will lead to a proliferation of new, internally-generated apps that scale faster with business models that existing development tools and methodologies allow. IDC is calling these “hyperagile apps” because they are highly modular distributed, continuously updated, and leveraging cloud-native technologies such as containers and serverless computing.

• Prediction 5: New developer class. By 2024, a new class of professional developers producing code without custom scripting will expand the developer population by 30%, accelerating digital transformation (DX).

The continual shortage of professional developers and the need to innovate smarter and faster to launch new businesses will lead enterprises will turn to a new class of developers who code without custom scripting.  IDC predicts this new class of global developers will increase the total available base by at least 30% in five years.

• Prediction 6: Digital innovation explosion. From 2018 to 2023 — with new tools/platforms, more developers, agile methods, and lots of code reuse — 500 million new logical apps will be created, equal to the number built over the past 40 years.

IDC predicts by 2023, entirely new applications will be created by collecting and integrating components from code repositories. By 2022 IDC predicts 75% of new applications being developed will be made up of greater than 50% code that was procured rather than written. AI- and machine learning components will achieve adoption scale quickly, as they’ll be repurposed from public and private code repositories.

• Prediction 7: Growth through specialization. By 2022, 25% of public cloud computing will be based on non-x86 processors (including quantum); by 2022, organizations will spend more on vertical SaaS apps than horizontal apps.

IDC predicts the IT impact from custom ASICs for AI will be slow at first, except that TPUs can be leveraged in Google Cloud, but by 2019, ASICs will start to become available from start-ups and Intel. As compliance and quality management requirements increase by vertical market, expect to see vertical SaaS apps outsell mainstream, horizontal apps.

• Prediction 8: Artificial intelligence (AI) is the new user interface (UI). By 2024, AI-enabled user interfaces and process automation will replace one-third of today's screen-based apps; by 2022, 30% of enterprises will use conversational speech tech for customer engagement.

IDC sees the exponential increases in natural language understanding (NLU) technologies illustrated by the popularity of Google Assistant, Siri, Microsoft Cortana, and Amazon's Alexa as the future of AI-driven interfaces. The FutureScapes’ authors say that the combination of NLU with translation, search, analytics, AI, and speech technologies will revolutionize how people interact with computers that increasingly emulate the human-to-human conversational experience. The study cites Salesforce's Einstein Voice Assistant as an example of how the integration of these technologies can be deployed across marketing, sales, and services to improve customer experiences.

• Prediction 9: Expanding and scaling trust. By 2022, 50% of servers will encrypt data at rest, and in motion, over 50% of security alerts will be handled by AI-powered automation, and 150 million people will have blockchain-based digital identities.

Threat management solutions are entering a new era that capitalizes on the strengths of analytics, machine learning and data science models to protect every threat surface on a network. IDC is predicting these technologies will take humans out of the loop at least 50% of the time on threat management events. Zero Trust Security shows potential to protect every threat surface using the integrated technologies IDC mentions. Companies to watch in this area include Centrify for Privileged Access Management, Idaptive for Next-Gen Access, as well as Cisco, F5 and Palo Alto Networks in networking. Based on conversations with CIOs and IT teams,  Zero Trust Security (ZTS) is scaling to protect every identity and threat surface on a network. Identities are the new security perimeter of any business. Based on the four core pillars of verifying the identity of every user, validating every device, limiting access and privilege, as well as relying on machine learning to analyze user behavior and gain greater insights from analytics, ZTS is proving effective at stopping breach attempts.

• Prediction 10: Consolidation versus multicloud. By 2022, the top 4 cloud "mega platforms" will host 80% of IaaS/PaaS deployments, but by 2024, 90% of Global 1000 organizations will mitigate lock-in through multi-cloud/hybrid technologies and tools.

According to IDC's recent IaaSView Survey, almost 60% of respondents indicate that they already have a (largely unintegrated) multi-cloud IaaS environment, with 75% of those having a primary provider and one or more secondary providers. Their primary driver for multi-cloud usage is to support different applications and use cases. The study’s authors believe at least two of the four megaplatforms players will extend their hybrid/multi-cloud capabilities to provide customers more seamless deployment and management across multiple public cloud vendors' platform.

I am currently serving as Principal, IQMS. Previous positions include product management at Ingram Cloud, product marketing at iBASEt, Plex Systems, senior analyst at AMR Research (now Gartner), marketing and business development at Cincom Systems, Ingram Micro, a SaaS start...

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Louis Columbus is an enterprise software strategist with expertise in analytics, cloud computing, CPQ, Customer Relationship Management (CRM), e-commerce and Enterprise Resource Planning (ERP).

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Top 10 Digital Transformation Trends For 2019

Over the past few years I have made the commitment to looking forward to the year ahead to predict some of the most significant digital transformation trends. Knowing that digital transformation is not only a technological shift, but an organizational change at the intersection of technology, business and people, such reflection must take into account countless possibilities. In this year’s predictions, I try to take a year’s worth of technology and digital transformation research to better predict where are we going? Why are we going there? And what potential surprises are in store? Hopefully, these top trends can serve as a compass of sorts, for organizations looking to move their business and digital transformations forward. While a few of my top 2019 digital transformation trends build on the trends I predicted for last year, there are definitely a few new additions as we round the bend of 2018. And as a note to everyone that reads this, remember, the technology in itself does not equate to digital transformation. The customer, culture and employees along with business continuity must be at the heart of every technology investment. Without further ado, here’s my take on what to expect in the year ahead.

1. 5G Fixed to 5G Mobile: Here’s the thing about 5G: we’ve been talking about it for a while. And if you’re a world traveler or on certain networks like Sprint, you know it’s still possible to slip back into 3G zones from time-to-time without realizing it. So, what’s the big deal with 5G now? In short, we’re finally in a spot where we will start seeing 5G everywhere. If you have been following the tech community, you will have seen that there are a wide number of fixed and test deployments with companies like Qualcomm, Intel, Nokia, Ericcson, Samsung and Huawei all getting into the action. We are also seeing new companies like Mimosa Networks making it possible to roll 5G out to both rural and urban locations, paving the way for bullish 5G mobile providers—i.e. ATT and Verizon—to start offering new, cooler, faster, more innovative services for mobile users. It’s an exciting time for 5G and mobile alike. While 2018 was the year that fixed 5G applications found their legs, in 2019 we are going to see 5G finding its way into the upper corner of our Mobile devices, albeit for you iPhone users it is more likely going to be 2020 or later.
2. Chatbots Good to Great: Hear me out on this one. I know we’ve all had extremely frustrating chatbot experiences as we round out 2018. But the good news is that huge steps continue to be made in the way of natural language processing and sentiment analytics—so many, in fact, that some believe NLP will shake up the entire service industry in ways we’ve never imagined. Think about all the services that could be provided without humans—fast food lines, loan processors, job recruiters! What’s more, NLP allows companies to gather insights and improve their service based on them. Some 40% of large businesseshave or will adopt it by the end of 2019—which makes it one of our top 2019 digital transformation trends. Now, I know many are alarmed by where AI and Chatbots may impact the workforce, but I’m also bullish that companies are going to be upskilling their work forces rather than displacing them as machines may be good at delivering on clearcut requests but leave a lot to be desired when it comes to dealing with empathy and human emotion required to deliver great customer experiences.


3. Connected Clouds (Public, Private, Hybrid): Honestly, we can just file this as “the continued evolution and growing pains of cloud adoption.” Basically, what’s happening is that companies are realizing that going all public cloud, private cloud, or data center isn’t the best option. Sometimes, they need a mix of all or both. Thus, connected clouds are continuing to develop to meet companies’ changing needs—whether they want to cloud-source storage, networking, security, or app deployment. Major public cloud providers like Amazon and Alibaba are answering the call, offering private cloud (or in Google’s case, container-based) options. We are also seeing Microsoft via Azure, HPE with their 2017 acquisition of Cloud Technology Partners and their consumable IT services as well as VMware with their recent acquisition of CloudHealth Technologies all show increased commitment to connecting clouds. The term, Multicloud will be the new buzzword for the cloud conversation and what I believe this movement means more than anything else is that no matter which workloads are being run in which cloud, the experience for IT and those that are utilizing the applications needs to be seamless, secure and streamlined. For most businesses this means a mix of workloads running in public, private and hybrid environments and this will be a big topic in 2019.
4. Blockchain Finally Understood and Flops (kind of): Forget everything magical I ever said about blockchain. Just kidding—kind of, but bear with me here. As we continue to explore this technological miracle worker, we’ve come to realize that blockchain is kind of a mess. It’s too complicated for lay people to use right now, and there’s no standard way to use it because we all want to use it different. The only way to get mass blockchain adoption is to create a plug-and-play version that all of us can use and understand. I’m watching closely as leading technology firms like IBM continue to make massive commitments to the potential of Blockchain for applications beyond cryptocurrency. The financial industry are also looking at this closely as well as a mass of applications in transportation of goods and services. However, to this point, it seems more of a marketing ploy than a bonafide technology offering. My guess is a lot of smart developers will continue to work on realizing the potential of blockchain in 2019, but I’m of the mindset that it will be 2-3 more years before we start to see the traction that has been promised.

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5. Data to Analytics to Machine Learning to AI: At the center of all of these technological trends and in the center of this list falls the linchpin to so many of these trends and to digital transformation as a whole. Data is key to companies being able to make good decisions about products, services, employees, strategy and more. We won’t see a slowdown anytime soon. As recent data has shown we have created 90% of the world’s data in the past year, research is also showing that we are only using 1% of the data effectively. While being in the top 1% is often a good thing, this is a 1% that most of us preaching the power of analytics should be ashamed about. With a plethora of companies like Microsoft, SAP, SAS and Salesforce (just to name a few) showing market leadership in the promotion of data being made into meaningful business analytics, there is much to be done by data driven organizations to realize the power of the data on hand and the data that they are collecting. With improved processing power that can increase machine learning, we are going to see digital leaders investing in making more of all of their data and this will be done with machine learning and AI and I believe that 1% figure will grow to 3 or 4% by 2020; which may seem small but is a massive increase in data utilization.
6. GDPR Forces Brand Hands: As of August 2018, about 1/3 of companies were still not compliant with the Europe’s General Data Protection Regulation (GDPR), which aims to provide huge layers of data protection for users. In fact, at this time, about 1,000 U.S. newssites still aren’t available in Europe, generally because they don’t care enough about data security to make the GDPR a priornewity. What does this mean in terms of 2019 digital transformation trends? It means informed customers will start to see which companies truly care about protecting their data, and which companies really don’t. I believe that GDPR is the start of a more global trend that will hold companies accountable for how they treat privacy and personal data. While brands do not necessarily want to have to comply, this movement will serve as a warning to companies to figure out better ways to genuinely build relationships with their audience as opposed to the often clear misuse and abuse of personal data in the name of marketing and selling.
7. AR Yes, VR (Still) No: I’m kind of starting to feel bad for virtual reality (VR) because it’s so cool, but it just isn’t feasible beyond gaming and highly specialized applications in today’s marketplace—yet. Instead, augmented reality (AR)—VR’s less sexy little brother—continues to be the name of the game in 2019 digital transformation trends. AR has found tons of use cases in enterprise workforce training, meaning it’s not just cool, it’s useful. And that’s what technology is all about. In fact, even though some think it will be slow, I believe AR’s development will ramp up in 2019. I’m even bracing to hear something about a new AR or mixed reality product and/or developer kit on September 12 from Apple’s big announcement. Hopefully something promising.
8. Edge to Core and IoT Much More: Last year, my first four trends were basically around IoT, AI, Machine Learning and Edge. This year, the four become one because they are so deeply interconnected. As the IoT grows—and the number of connected devices skyrockets—it makes sense that we need more space—and closer space—to process the data it’s working to capture and process. The concepts of Smart Cities and Autonomous Vehicles have zero chance of being realized if data processing has to happen in the cloud. That means we’ll be leading more and more toward edge computing in terms of 2019 digital transformation trends. Analytics and data won’t just be for processing—they’ll be for processing in real-time. And that’s something only the edge can support right now. Now, its important that I emphasize that edge and cloud are not mutually exclusive. Cisco refers to the interdependence of edge and cloud as “The Fog” as they recognize that critical data interactions that take place between the edge and the cloud to maximize data utilization. While their vernacular may or may not become ubiquitous with the connection between edge and core, you can be certain that the two will work together tirelessly to achieve the possibilities being sold to us with AI, IoT and Machine Learning.
9. Consumption-Based IT Services for the Win (FTW): This year, we did our homework, and asked the CIOs and IT executives about their IT budgets and trends in their consumption of cloud and overall, they are interested in creating efficiency, having more flexibility with their workloads (note trend 3) and having the ability to scale up and down quickly based on the business requirements. This means, much like we saw Salesforce become a heavyweight for CRM as a Service, that the idea of anything and eveyrthing as a service is highly desirable. With the as-a-Service industry growing, companies are becoming more sophisticated in choosing “a la carte” IT services to fit their needs. This ITaaS allows for scalability, the latest technology (without the latest tech price tag), shorter procurement cycles, and increased agility. It only makes sense that companies are leaning this way and they will be more and more in 2019.
10. CEOs Take the Reins: Honestly, it’s about time and while I’m putting this as my closing prediction, it is also the one that has me the most nervous. Countless studies have shown an overwhelming desire from employees to see digital transformation start at the very top of the company, however, trends are still showing that the task is being too often delegated to IT, Marketing or HR departments. So even though we’ve seen a range of C-suite leaders charged with taking the reins of digital transformation, I believe that the CEO will (must) finally step up in 2019, realizing digital transformation isn’t going anywhere. They’ll be making it more of a priority to hire for digital transformation, recognizing the critical nature of building cultures that can change, and the value of reskilling employees and hiring for agility—learning to trust data more than ever before. That’s good news for all companies in 2019.

If there’s one thing I know for sure, it’s that digital transformation will continue to change how we do business—in every industry. While it may be hard to see the inroads some of these technologies are making right now, their potential to change how we work, socialize, and interact is tremendous—and their implications will continue to land far beyond the year ahead.

For those that prefer a Graphic to share. Here is a visual of the 10 trends for 2019.

Top 10 Digital Transformation Trends - InfographicFUTURUM RESEARCH

I am a principal analyst of Futurum Research and CEO of Broadsuite Media Group. I spend my time researching, analyzing and providing the world’s best and brightest companies with insights as to how digital transformation, disruption, innovation and the experience economy are...

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Daniel Newman is CEO of Broadsuite Media Group, principal analyst at Futurum and author of Futureproof.

source: https://www.forbes.com/sites/danielnewman/2018/09/11/top-10-digital-transformation-trends-for-2019/