DEV Community: tobimarsh

AI, ML, 5G, IoT will be the most important tech in 2021: Study

tobimarsh — Fri, 27 Nov 2020 10:40:26 +0000

Artificial intelligence (AI), machine learning, 5G, and the Internet of Things (IoT) would be the most important technologies in 2021, according to a new study by the Institute of Electrical and Electronics Engineers (IEEE).

The technical professional organization on Monday released the results of a survey of Chief Information Officers (CIO) and Chief Technology Officers (CTO) in the US, the UK, China, India, and Brazil. The survey was on the most important technologies for 2021, the impact of the COVID-19 pandemic on the speed of their technology adoption, and the industries expected to be most impacted by technology.

On which would be the most important technologies, nearly one-third of the total respondents (32 percent) said AI and ML followed by 5G (20 percent) and IoT (14 percent), according to an IEEE statement. Manufacturing (19 percent), healthcare (18 percent), financial services (15 percent), and education (13 percent) are the industries that most believe would be impacted by technology, according to the CIOs and CTOs surveyed.

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At the same time, more than half (52 percent) of CIOs and CTOs see their biggest challenge as dealing with aspects of COVID-19 recovery in relation to business operations. These challenges include a permanent hybrid remote and office work structure (22 percent), office and facilities reopening's and return (17 percent), and managing permanent remote working (13 percent).

However, 11 percent said the agility to stop and start IT initiatives as this unpredictable environment continues would be their biggest challenge. Another 11 percent cited online security threats, including those related to remote workers, as the biggest challenge they see.

CIOs and CTOs surveyed have sped up adopting some technologies due to the pandemic. More than half (55 percent) of respondents have accelerated adoption of cloud computing, 52 percent have accelerated 5G adoption and 51 percent have accelerated AI and ML. The adoption of IoT (42 percent), augmented and virtual reality (35 percent) and video conferencing (35 percent) technologies have also been accelerated due to the global pandemic.

Compared to a year ago, CIOs and CTOs overwhelmingly (92 percent) believe their company is better prepared to respond to a potentially catastrophic interruption such as a data breach or natural disaster. "What's more, of those who say they are better prepared, 58 percent strongly agree that COVID-19 accelerated their preparedness," the statement said.

Asked which technologies would have the greatest impact on global COVID-19 recovery, one in four (25 percent) of those surveyed said AI and ML.

The top two concerns for CIOs and CTOs when it comes to the cybersecurity of their organization are security issues related to the mobile workforce including employees bringing their own devices to work (37 percent) and ensuring the IoT is secure (35 percent). This is not surprising, since the number of connected devices such as smartphones, tablets, sensors, robots, and drones is increasing dramatically.

MACHINE LEARNING TRENDS OF 2021

tobimarsh — Fri, 27 Nov 2020 07:45:06 +0000

Machine Learning (ML) is a well-known innovation that nearly everyone knows about. A study uncovers that 77% of devices that we presently use are utilizing ML. From a social event of SMART devices over Netflix proposition through products like Amazon’s Alexa, and Google Home, artificial intelligence services are proclaiming cutting-edge innovative solutions for organizations and regular day to day existences. The year 2021 is ready to observe some significant ML and AI trends that would maybe reshape our economic, social, and industrial workings.

As of now, the AI-ML industry is developing at a quick rate and gives sufficient advancement scope to companies to bring vital change. According to Gartner, around 37% of all companies reviewed are utilizing some type of ML in their business and it is anticipated that around 80% of modern advances will be founded on AI and ML by 2022. This is a good opportunity to learn ML and become a Machine Learning Engineer to build a successful career.

Throughout recent years, there have been a few discoveries in machine learning and AI. Notwithstanding, a couple of organizations have so far been able to apply those to accomplish the essential business objectives.

With the surge in demand and interest in these technologies, various new patterns are ascending during this space. Simply if you’re a tech capable or related to innovation in some capacity, it’s exciting to see what’s next inside the space of machine learning.

Machine Learning In Hyperautomation

Hyperautomation, an IT mega-trend identified by Gartner, is the possibility that almost anything inside a company that can be automated–, for example, legacy business processes – should be automated. The pandemic has boosted the adoption of the concept, which is otherwise called digital process automation” and “intelligent process automation.”

Business Forecasting and Analysis

The time series analysis has been mainstream for recent years and is as yet a hot pattern for the current year. With this strategy, experts gather and screen a set of data over a period of time which then is examined and utilized for making smart decisions. The ML networks can give conjectures with accuracy as high as around 95% whenever trained utilizing diverse data sets.

Automation

Marc Andreessen extensively said that “Software is destroying the planet,” and these days it shows up as though every organization is flying into a software organization at its core. The year 2021 will accomplish new patterns in technology, and hence the failure to manage infers increased technology debt for companies. This debt will, within the end, must be repaid with interest. Hence, as against development in tech adoption this year, we may plan to discover a move in tech spending. Enterprise budgets will keep on seeing a move from IT to more critical business operations. Leaders will siphon more investments in activities that increase incomes as business value replaces speed due to the most crucial DevOps metric.

The Intersection Of ML and IoT

Faster Computing Power

Reinforcement Learning

Types Of Charts & Graphs for Tableau To Make Your Data Visually more Interactive

tobimarsh — Tue, 21 Jul 2020 13:37:39 +0000

Graphs and charts are the most expressive ways when it comes to showing enormous amounts of raw data in a simple manner. Tableau is known to be one of the most popular and trending data visualizations software among developers. It creates fast visualizations of data in the form of worksheets and dashboards. Having a Tableau Certification helps you to know more about Data Visualization.

Bubble Chart
In the bubble chart, the data is displayed with the help of circles. This type of chart helps in depicting the relationship between three or more measures. Bubble charts can visualize large volumes of data at once by varying the colour and size of the circles.
Box Plots
Box and Whisker Plots or simply Box Plots are used to display the distribution of data for values such as median, outliers, first quartile, third quartile, among others. Box Plot is mainly useful for comparing the variations in the data.
Gantt Charts
Gantt Charts was invented in 1910 by Henry Gantt, and it displays a series of horizontal lines that track completed work overtime. This type of chart is useful in displaying the average delivery time for a range of products.
Heat Maps
Heat Maps or Density maps can be used to identify locations without greater or fewer numbers of data points as well as reveal the patterns or relative concentrations that might otherwise be hidden due to an overlapping mark on a map. In Tableau, a heatmap can be created by grouping overlaying marks and colour-coding them based on the number of marks in the group.
Pareto Charts
A Pareto chart is a kind of chart in Tableau that contains bars as well as line graphs. In this chart, individual values are represented in descending order by bars, while the ascending cumulative total is represented by the line.
Scatter Plots
In Tableau, a scatter plot can be constituted by putting at least one measure on the Columns shelf as well as one measure on the Rows shelf. Scatter Plots can be used to visualize relationships between numerical variables.
TreeMaps
Treemaps are simple data visualization graphs that have the ability to provide insight in a visually attractive format. This type of graph can be used to display data in nested rectangles.