DEV Community: TechNews

Beginner’s guide to infrastructure management

TechNews — Tue, 31 May 2022 13:48:46 +0000

Information technology is the foundation of the digital world. Businesses need an impenetrable infrastructure for managing data. Which resources can fulfill these requirements?

Businesses handle market data for analyzing changing trends and keeping pace with the market. The need for infrastructure demands suitable assessments for database security. The Information Technology department has to be aware of practices and procedures for data confidentiality.

Information Technology pain points

Information technology encompasses many factors affecting the business infrastructure. These include hardware and software, anti-virus software, and relatable aspects of the organization.

IT resources

Technology infrastructure is unlimited space for software targetting workspace data leaks, confidential information, and other trading secrets.

Database security

A bigger picture of the markets indicates that each business strives to protect its data. A step in this direction is auditing and reporting data breach incidences.

Cloud Security

Businesses rely on cloud storage for ease of access. A step in direction requires attention to cloud security. A blind eye to this can cost tons of money for the organization and lose customers in no time.

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Transforming business with IoT

TechNews — Mon, 30 May 2022 14:22:11 +0000

The adoption of the Internet of Things (IoT) is continuously accelerating. How do you leverage this technology for your business?

Technology is now ingrained in our daily lives, influencing everything we do. We are all entering an Internet of Things (IoT) world that benefits everyone by assisting our daily lives and keeping us connected to the things and people that matter to us. The Internet of Things is offering smart technologies to make our lives easier. It has a critical role to play in improving corporate procedures.

Are you curious about how the Internet of Things is changing businesses? Dive in to gain insights!

IoT offers a variety of benefits to businesses. Here are a few of them:
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**1) IoT boosts productivity and efficiency - IoT collects data about processes in any industry, allowing them to improve rapidly. Business leaders can use IoT to connect a company’s operations and get a holistic view of the consequences of combined activities.

2) IoT reduces expenses and downtime - The Internet of Things links devices and keeps business-critical data flowing through networks. It enables smart inventory management, waste management, and cost reduction.

3) IoT boosts asset tracking and reduces waste reduction - Whether items are stacked in warehouses or are on the move, IoT has a lot of potential for waste minimization and asset tracking. Businesses may then track assets and regulate machinery using smart sensors.

4) IoT offers better Business Insights and Customer Experience - A higher volume of data is being streamed with more linked devices and equipment in numerous industries, with the possibility for enhanced analytics.

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Top 5 IT Security Tips for Remote Workforce

TechNews — Thu, 26 May 2022 13:59:50 +0000

Remote work has adapted to the modern workforce, but it still lacks the security needed to keep threats and attackers from the organizational ecosystem. Read to know more

It’s been over a year that a large number of organizations made a shift to remote work practices. Many of them now have teams distributed across geographies with employees in multiple countries, working across time zones. Most of these employees rely on their personal WiFi networks, networks, and sometimes, even accounts and ids to carry out their day to day work-related tasks.

What can the lack of good security do?

One of the biggest Social Media companies, Twitter fell prey to security attackers when working from home in 2020, and mind you, Twitter has a robust cybersecurity team.

IT security tips

1) Zero Trust Security – Keeper utilizes a proprietary, zero-knowledge security architecture that supports on-premise, cloud as well as hybrid-cloud environments and infrastructures for client-side encryption key management that can be quite effective when protecting your organization from remote data breaches.

2) Encryption tools – Utilize Application security for the on-device apps needed by your remote workforce by using set-and-forget encryption tools and deliver an end-to-end protection ranging from encryption to scanning.

3) Advanced DevOps – Empower your IT teams command-line tools, open source code, and API, so that they can easily manage password rotational functionalities.

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Industry trends in Machine Learning for 2022

TechNews — Tue, 01 Mar 2022 08:11:42 +0000

Machine learning is a field of artificial intelligence predicated on the idea that machines can learn from data, recognize patterns, and make judgments with little or no human input. Machine learning, unlike any other modern-day revolutionary technology, was science fiction. Our imagination is the sole limit to its applications in real-world industries. In our life, change is the only constant. We have observed how businesses have evolved through time, adopting cutting-edge technologies to promote efficiency and enhance returns on investment.

Businesses desire to use data-driven models to streamline their operations and make informed decisions based on data analytics. With the pandemic wreaking havoc on industries worldwide, SMEs and large corporations had no choice but to adapt to the changes quickly, leading to augmenting investments in data analytics and data science. We can see new trends emerging in the industries as firms rely on data analytics to avoid and overcome various challenges.

Let’s read about the top machine learning trends for 2022, and see how it is becoming an integral element of every business, regardless of industry.

1) Automated Machine Learning

Experts will be able to design more efficient models with the help of automated machine learning. As a result, all future advancements will focus on offering the most precise task solving. AutoML is used to maintain high-quality custom models and increase work efficiency without requiring extensive programming experience. This technology will allow for training without using a lot of time or compromising the quality of the work.

2) Machine Learning and Internet of Things (IOT)

The advancement of this trend will impact the adoption of 5G, which will form the basis for IoT. Given the high speeds of 5G, devices will respond rapidly and transfer and receive more data. IoT devices allow several devices to connect via the internet to form a network. Year after year, the number of connected devices is increasing, and the volume of data transferred is rising as well. Many industries will benefit from the adoption of IoT devices, with this combination ensuring fewer internet failures and data leakages.

3) Better Cybersecurity

With the advancement of technology, the majority of our appliances and apps have become smart. They are always connected to the internet, which necessitates a higher level of security. Professionals may use machine learning to construct revolutionary anti-virus models that can protect against cybercrimes, hackers, and limit attacks by assisting the model in identifying different types of dangers, such as malware behavior, code differences, and new viruses.

4) Ethics in Artificial Intelligence

With the advancement of new technologies like Artificial Intelligence (AI) and machine learning, there is a rising concern about defining some ethical guidelines for these technologies. The more advanced the technology, the more advanced the ethics should be. If these ethics are not followed, machines will be unable to work efficiently, resulting in poor decisions. This is evident from the self-driving vehicles which are currently in the market.

5) Automation of Natural Speech Understanding Process

A lot of information on smart home technology is shared, which works on smart speakers. The procedure is made simple due to the use of intelligent voice assistants that establish a connection with smart appliances via non-contact control. In terms of detecting human voices, these algorithms already have a high level of accuracy. The days of executing this operation with a sequence of commands and a tight syntax framework are long gone. Machine learning is now the answer to this, and it performs the process relatively faster.

Finally

Machine learning is geared towards making the most accurate predictions. Marketers, business owners, and IT personnel will greatly benefit from this technology as they develop new products. Owing to AI’s involvement, the machine gets to learn, memorize, and produce accurate results. With the foreseen trends and developments, machine learning will keep advancing in a positive direction.

For more such updates and perspectives around Digital Innovation, IoT, Data Infrastructure, AI & Cybersecurity, go to
AI-Techpark.com.