How 8 Trends Will Steer Infotech in 2020 and Beyond

AJINKYA BAGADE | April 28, 2020 | 310 views


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
- Cybersecurity
- 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.

6. Cybersecurity

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

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C3 AI Introduces New ESG Application

C3.ai, Inc. | September 15, 2022

C3 AI , the Enterprise AI software application company, today announced the introduction of C3 AI ESG, an application that harnesses artificial intelligence and machine learning to enable companies to monitor, report, and improve their ESG (environmental, social, and governance) performance. C3 AI ESG reduces the time required to gather, manage, and analyze disparate ESG data, and allows companies to identify ESG risks, capture opportunities, and accelerate initiatives to meet their ESG goals. C3 AI ESG enables customers to integrate data from all their ERP, supplier, customer and manufacturing systems—plus relevant exogenous market data, emissions, and commodity data—and provide comprehensive Scope 1, Scope 2, and Scope 3 ESG reporting in compliance with any of SASB, GRI, TCFD, and CDP reporting standards. C3 AI ESG is entirely predictive, allowing companies to accurately forecast their ESG KPIs and plan mitigation measures to achieve their corporate ESG objectives. According to Verdantix, ESG is estimated to become a $30 billion market by 2030. “As ESG objectives continue to rise on the corporate agenda, organizations require solutions to better plan, track, measure, and report ESG performance across their entire value chain. “C3 AI ESG allows organizations to employ advanced AI and ML capabilities not only to provide complete visibility of their ESG status, but to identify and execute strategies to meet their ambitious ESG goals more effectively.” Ed Abbo, President and CTO at C3 AI Key capabilities of the C3 AI ESG application include: Integrating key ESG data across enterprise systems into a unified data image Continuously calculating and tracking ESG KPIs against goals Providing AI-driven recommendations to improve performance on priority ESG issues Centralizing compliance with major ESG reporting standards and frameworks Automating ESG reporting and workflows to review and approve publication of ESG data Using AI to analyze and efficiently respond to external data requests Identifying emerging ESG risks and opportunities using AI to analyze news, media, and priority stakeholder publications Ensuring data accuracy and integrity with end-to-end auditability and AI-driven data validation C3 AI ESG is immediately available and can be deployed on any private or public cloud infrastructure (including AWS, Microsoft Azure, and Google Cloud), or on-premises. About C3.ai, Inc. C3 AI is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 AI Application Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications and C3 AI Applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally.

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