Article | March 8, 2020
According to a Gartner survey, 48% of global CIOs will deploy AI by the end of 2020. However, despite all the optimism around AI and ML, I continue to be a little skeptical. In the near future, I don’t foresee any real inventions that will lead to seismic shifts in productivity and the standard of living. Businesses waiting for major disruption in the AI/ML landscape will miss the smaller developments. Here are some trends that may be going unnoticed at the moment but will have big long-term impacts
Article | April 28, 2020
The tech industry is almost always playing the balancing act by continuing to drive innovations and at the same time grappling with the side effect of those innovations in the global economy. Though every industry faces this challenge as it becomes more mature, the challenge is unique for the tech industry with the scale that tech is able to achieve and the evolutionary aspect of mixing digital and physical worlds.
Technology is evolving at such a rapid pace that it may go out of trend even before it is mentioned as a trending technology. But with the tremendous potential they bring with themselves, both for business and technology, it is time for the technology industry to make good use of it. While there are major questions around safety, privacy, sustainability, and trust, these questions can be answered by combining technical expertise with social awareness.
We’ll discuss how the impact of latest trends in 2020 will support and progress the infotech industry.
Table of Contents:
- Tech-Washing Fades in Favor of Real Strategy
- Growing Demand for Workforce Diversity
- Redefining IT Infrastructure with the Internet of Things
- Artificial Intelligence
- Demand for Automation
- Deep Fakes, 5G, and the Data Management Challenge
- Changing Reality of Emerging Technologies
1. Tech-Washing Fades in Favor of Real Strategy
With the vast influx of user friendly technologies it can now be said that every company is a tech company. Though the fact that technology is everywhere doesn’t necessarily change the underlying business model. A company cannot simply create new growth avenues by slapping a tech label on their product and expect to reap profits, which can be true for larger companies going public and struggling with the reality of the market.Then there are smaller businesses that are falling prey to marketing hyperbole. New trends like artificial intelligence and blockchain require significant investments and change to workflow. The smaller companies slowly realize the difference between buying new technologies and truly integrating them with their work culture.
Businesses will show more intent to integrate a technology into their work culture for strategic returns rather than buying a technology to use it as a crutch.
2. Growing Demand for Workforce Diversity
The technological workforce has been under the scanner for lack of diversity due to the unconscious bias along with other behaviour that is far more conscious, such as barrier to access for low-income students and even reports of outright abuse. In 2020, the call for improved diversity will continue to pay dividends, even if fully diverse and inclusive environments still lie further in the future. Going beyond the common conception of diversity, companies will also seek to bring in skill diversity. Companies are now increasingly seeking diversified expertise across all areas of IT framework – infrastructure, software development, cybersecurity and data.
In addition, companies now look for individuals that have some degree of work experience which indicates unwillingness to hire freshmen. Business are also looking for professionals that can speak the language of business and collaborate with other departments in order to drive technology-fuelled business results.
3. Redefining IT Infrastructure with the Internet of Things
The Internet of Things has emerged as one of the technological trends, along with cloud computing and mobile devices that will now be a permanent part of modern technology landscape. Digitization of environment and operations has gained pace due to the data value that comes with it. IoT is also bringing positive results for companies with both major and minor level IoT-related sales in the last year. Today, IoT as a managed services play is driving the most revenue in this category, but looking ahead to the next two years companies are predicting that analytics on data captured by IoT sensors – then shared with customers – holds the most financial promise.
I&O must get involved in the early planning discussions of the IoT puzzle to understand the proposed service and support model at scale. This will avoid the cascade effect of unforeseen service gaps, which could cause serious headaches in future.
- Ross Winser, Senior Research Director, Gartner
The next wave of IoT will require expert understanding of digital BizOps. Business will have to treat IoT projects more like an expansion of infrastructure.This will dictate networking structures, storage options, data policies, and security decisions. The stage for IoT, as for cloud computing and mobile devices, is set and ready to bring in advance IoT digital transformation.
4. Artificial Intelligence
Cloud computing lowered the barrierdeveloping software and distribution, while mobile devices extended the reach of software, thus increasing the software’s ability to drive activity. This created a new challenge in conducting said activity and acting on the data being collected. Artificial intelligence with software-driven routines and compute resources that can run advanced algorithms, takes software to another height. It is clear by now that AI needs a different kind of oversight compared to other software given the challenge of programming bias and unreasonable outputs. Like any other software, AI requires solid inputs and these inputs are often massive datasets rather than highly specific data points. But, there is still a need to maintain the data quality. AI opens up new opportunities for businesses as well as job roles as it continues to disrupt the infotech landscape.
5. Demand for Automation
SMBs require automation mainly in the areas of integration of platforms, application and data, while the large corporation who also focus on integration, have more internal resourcesto lean on. But, whether the integration is in-house or outsourced, the next step is automation. Today’s automations open doors to new opportunities like cloud systems offers tools from the provider; IoT gathers inputs from varied sources, and AI suggests insight-driven actions. With a number of technologies disrupting the tech landscape, companies can build complex automation. But as automation goes more complex, AI will play more a monitoring role.
Cybersecurity is not an emerging trends but it has been around for a while. Though the technologies revolving cybersecurity are upgrading as new threats keep appearing. Hackers keep finding news way to exploit the toughest of measures.
The attitude towards cybersecurity has shifted drastically from defensive to a more aggressive approach. Another drastic change has come in enterprises now treating cybersecurity more as an important component of business and not another function of IT. At large enterprises, this usually takes the form of a CISO managing a team of resources, and the division is more clear.
The first step, which many enterprise overlook, is to define the risk tolerance. The next steps is to fill the skill gap that exists due to a varied areas that come under the security umbrella. Finally, there must be metrics to measure the return on a more significant investment.
READ MORE: HOW TO MITIGATE ROBOTIC PROCESS AUTOMATION IMPLEMENTATION WITH LOW-CODE DEVELOPMENT
7. Deep Fakes, 5G, and the Data Management Challenge
Deep Fakes have the potential to wreak havoc on the society, personal lives, politics, careers, and beyond.Forging video and voice software appear to convincing people of doing things that they normal won’t do. Such software in the hands of bad elements would mean inviting trickeries and handing over important personal information to strangers. As long as deep fake applications exist – and they will continue to exist and proliferate – the need for sophisticated data management will skyrocket in the coming years. And data volume, already completely exponential, is only going to mushroom with the more expansive rollout of 5G networks next year and beyond. The entry of 5G will increase the absorption of data exponentially.
In addition to bringing us all faster broadband speeds and more reliable mobile networks, the proliferation of 5G will also accelerate advancements in smart city, smart vehicle, smart manufacturing, and scores of IoT-intensive technologies hungry for 5G. Just about every industry that touches our daily lives will be transformed – for the better – by the technology evolution that will define 2020.
- Daniel Newman, CEO,Broadsuite Media Group
The two trends will bring new data management challenges. There will be increasing need to identify data with its true source as well assecure the mountains of information speeding along these networks.
8. Changing Reality of Emerging Technologies
The excitement around emerging technologies is highand even though the impact on an operational levelhas been positive for business for building better practices for evaluating early-stage topics and accelerating adoption, its been chaotic at a tactical level. Companies have had less time to observe and evaluate which technology is profitable, while the constraints of resources and skill gap exacerbates.
The trend has been that companies in the business of technology are starting to pull back on adopting new technology as part of their portfolio. This slight tap on the brakes suggests that classic situation where companies move too quickly into a new technology discipline or business model only to have a reality check in year two or three. Though companies are excited about new technologies including AI, IoT, 5G, drones, blockchain, and quantum computing, they reserve their excitement since new trends can still take off overnight.
READ MORE: HOW TO LEVERAGE IOT IN MANUFACTURING TO USHER IN INDUSTRY 4.0
Article | June 24, 2021
The world of digital advertising is witnessing a great change, all thanks to Artificial Intelligence (AI).
As AI keeps on advancing, we will see more and more improvements in digital advertising strategies for the companies to get profitable customer insights.
The automobile giant, Lexus, is the first company to release an AI-scripted advertisement. According to the report from Variety, IBM Watson was used by Lexus to analyse car and luxury brand campaigns that have received the Cannes Lions award in the category of creativity. However, it was not the only motive of IBM Watson. A wide range of other external information was also analysed with the help of it.
This turned out to be a great move as Watson was successful in identifying dataset elements that would relate to customers on emotional levels.
What was behind this achievement? Of course, AI.
But there was even a bigger message — AI is the future of advertising.
Today, there are multiple commercially available platforms that can generate advertisements without the involvement of humans. But, AI is not just about creating ads. It has the power to transform every single possible thing in the advertising industry in 2021 and beyond, be it ad buying or even audience targeting.
Don't be surprised to read every content throughout your day that is written by AI in the coming years. Luckily for writers like me, our industry is not there yet.
As we have just stepped into a whole new decade, it’s a good moment to think about the future of advertising where AI will play a vital role. So without further ado, let’s get into it!
The Future Of Advertising Has Already Begun
Just like any other marketers or businesses, we always try to predict or guess what the future of advertising holds for us. Yes, there certainly are some known things and some unknown ones. However, we still can discuss how it can be considering all the potential changes and variables. The major reason behind this is, the future of advertising has already begun a few years back.
Well, most of the futuristic trends of the advertising world have already kicked off. Especially those trends that are going to be the hot buzz in the coming decade. But here lies one important question, which of these trends will impact the future of advertising the most?
And, what does AI have to do with this? Well…if you closely look at the current advertising trends, AI-powered sophisticated delivery systems are behind most online ads. Such systems are capable of placing ads in front of millions of internet users at the same time. The best thing — the coordination between the ads and the internet users occurs in real-time. And, it is ridiculously automatic.
The theoretical term for this kind of advertising is programmatic advertising. With this tech, artificial intelligence is used to profile visitors to apps or websites. Using this information, the targets are fixed and then ads are delivered. This becomes possible because of a modern ad supply chain that involves a complex network of services and platforms that have a different role to play at each stage.
Nowadays, the ad industry is being dominated by this type of AI-powered programmatic advertising. If we look at the predictions forwarded by eMarketer, more than 86 per cent of the display ads in the United States will be in front of the people because of automated channels. In fact, programmatic advertising is used in every 8 out of 10 mobile display ads.
Furthermore, we all see recommended products on Google and Facebook, don't we? How are these ads powered? Yes, you guessed it right, that’s AI. The stats are even more surprising — these firms captured around 90% of the advertising business back in 2017.
AI has made it extremely simple for brands to advertise online at scale. And, this is just the beginning. AI goes much further than just scaling when it comes to the future of advertising.
The current cut-throat competition has made it difficult for brands to create and deliver more relevant, more personalised, and more contextual ads to specific customer preferences. As a result, AI is the only way to fulfil this need. And ultimately, this fact holds a lot of implications for the future of advertising.
How AI Can Improve The Digital Advertising Trends
It is human psychology to personalize messages in face-to-face or one-on-one contexts. This happens with the people we already know. For example, we communicate with a family member, a friend, or a coworker keeping their possible response in mind. We know them and eventually have an idea about their preferences, desires, and behaviours.
But when it is about tailoring and personalizing messages at scale, there is a need for contextual data on thousands of consumers. In such a case, we need to have the customer information so that we can analyse it and then develop the right communication of each of them.
Humans do not have the required intellectual bandwidth, resources, and time for this enormous task. But thankfully, AI has that all. No wonder that more and more businesses are counting on AI for ad creation at scale.
Even though this is just the beginning of the AI era, it has already started impacting many advertisers out there.
For instance, AI can overrule all the advertising decisions made by your corporate team even if they have spent a significant amount of time and money to create them. To know this better, suppose you have created an ad on Facebook. The algorithm powered by AI analyses your ad and determines its relevance score. The delivery of your ad depends on the relevance score and it decides how effectively your ad is displayed in front of more and more customers. if your ad is less relevant to user needs or they don't just like your ad, the relevance score will be less.
A machine is responsible for deciding the relevance score of your ad and it has nothing to do with any creative and strategic decisions your team has made.
What does this mean?
Your business may not have to depend solely on humans to develop creative and strategic advertising decisions. You can imagine how AI can reduce the time and costs of advertising by effectively advertising on social media. In essence, it reduces your advertising budget to nearly half with effective email advertising and mobile advertising strategies.
To summarise this all, AI is going to change the entire advertising industry including all the elements in advertising processes. It is about to bring infinite opportunities for businesses in terms of precise analytics, content creation, semantic targeting, user experience improvement, and much much more.
As advertisers want to optimize huge amounts of data to create better ad campaigns and drive more impact, the popularity of Artificial Intelligence continues to increase. Before AI, businesses struggled to measure the effectiveness of their ad campaigns and determine where to allocate the budget.
AI-powered advertising affects not only the media spend but also creativity, analytics, and planning. Therefore, the future of advertising with AI is inevitable to target the right audience, offer more personalised experiences, make better decisions faster, and ultimately improve the returns of your investment.
The future of advertising will show us how the automation mechanism can dominate the marketing and sales domains, and help companies to save more resources while driving more value to their consumers in the long run.
How Is AI Used in Advertising?
Currently, there are a few main use cases of AI in advertising. Marketers and businesses are deploying AI-powered systems across channels and platforms. They include the following:
● Budget optimization and targeting
● Ad creation
● Ad management
● Ad platforms
Programmatic advertisements use AI and Machine Learning (ML) to regulate both sales and purchase using real-time factors. It includes almost all the ad exchange, party networks, and even platforms such as Instagram, Facebook, and Snapchat.
What Role Will Artificial Intelligence Play in The Advertising World?
AI is all about developing intelligent machines that can solve questions. As businesses continue to add newer customer touchpoints, the amount of data they are collecting from their consumers is going to be unimaginably huge in the future. Managing this amount of data is not humanly possible. And that’s where AI comes into play.
How Does AI Affect Marketing?
AI is certainly reshaping customer-facing services for businesses, advertisers, and marketers. It does so by improving efficiency and optimizing user experience. By reducing the resources, AI is eventually causing improved ROI and affecting businesses in terms of every aspect such as ad creations, ad management, advertising budgets, planning, implementations, and whatnot.
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"text": "Currently, there are a few main use cases of AI in advertising. Marketers and businesses are deploying AI-powered systems across channels and platforms. They include the following:
Budget optimization and targeting
Programmatic advertisements use AI and Machine Learning (ML) to regulate both sales and purchase using real-time factors. It includes almost all the ad exchange, party networks, and even platforms such as Instagram, Facebook, and Snapchat."
"name": "What Role Will Artificial Intelligence Play in The Advertising World?",
"text": "AI is all about developing intelligent machines that can solve questions. As businesses continue to add newer customer touchpoints, the amount of data they are collecting from their consumers is going to be unimaginably huge in the future. Managing this amount of data is not humanly possible. And that’s where AI comes into play."
"name": "How Does AI Affect Marketing?",
"text": "AI is certainly reshaping customer-facing services for businesses, advertisers, and marketers. It does so by improving efficiency and optimizing user experience. By reducing the resources, AI is eventually causing improved ROI and affecting businesses in terms of every aspect such as ad creations, ad management, advertising budgets, planning, implementations, and what not."
Article | April 20, 2020
SARS-COV-2 has upended modern health care, leaving health systems struggling to cope. Addressing a fast-moving and uncontrolled disease requires an equally efficient method of discovery, development and administration. Artificial Intelligence (AI) and Machine Learning driven health care solutions provide such an answer. AI-enabled health care is not “the medicine of the future,” nor does it mean robot doctors rolling room to room in hospitals treating patients. Instead of a hospital from some future Jetsons-like fantasy, AI is poised to make impactful and urgent contributions to the current health care ecosystem. Already AI-based systems are helping to alleviate the strain on health care providers overwhelmed by a crushing patient load, accelerate diagnostic and reporting systems, and enable rapid development of new drugs and existing drug combinations that better match a patient’s unique genetic profile and specific symptoms.