Technology Forecast for 2023: Development Trends of Artificial Intelligence, Cloud Computing, Edge Computing, and Network Security

#Industry experts pointed out that they had never foreseen such a rapidly changing development prospect. As the pace of innovation advances by leaps and bounds, major sub-sectors of IT have become increasingly complex:

•Artificial Intelligence: ChatGPT’s stunning debut last November put industry players on notice that artificial intelligence is growing exponentially Growth, provides a toolset (free) that would have been science fiction not long ago.

·Cloud Computing: Cloud computing has now become the foundation of technology. There has never been a technology that can continue to develop so thoroughly. Most enterprises adopt multi-cloud. As a result, customers can benefit from the vast potential of cloud computing, easing frustrating management and cost pressures.

•Edge computing: The application of edge computing will explode in 2022, and many business executives believe this is a new major focus. The immersive computing environment of the Internet of Things is creating a data-rich infrastructure that supports commerce and collaboration, and ultimately the Metaverse.

•Data Analytics: Data analytics is the engine that drives decision-making and has spawned a series of rapidly growing sub-industries, from predictive analytics to data visualization to real-time data mining. Data analytics is no longer a stand-alone discipline but is being built into an increasing number of applications as a core element. More and more businesses are looking to mine data for insights because it is becoming ubiquitous.

Given the rapid changes in the technology industry, revenue in the technology industry will continue to spiral rapidly.

Take the cloud computing market as an example, its compound annual growth rate is 14.4%. The global cloud computing market is expected to grow from US$483 billion in 2022 to US$1.5 trillion in 2030. Compared with artificial intelligence, this growth rate is not fast. The artificial intelligence market is expected to grow at a compound annual growth rate of 38%, jumping from US$147 million in 2021 to US$1.6 trillion in 2030.

Technology Predictions for 2023 and Beyond

As we approach the new year, industry experts and business executives typically predict the future direction of technology, as follows. It is their prediction of the technologies and development trends that will affect the development of enterprises in 2023 and beyond.

digital transformation

(1) Six major trends worth paying attention to

Ayman Sayed, CEO of BMC Software, said that as companies continue to As they evolve their remote working and distributed IT operations, it will be important for businesses to support them with offerings that are aligned with their needs and new operating models. There are six major macro trends to watch in 2023.

·First of all, the way people work has changed. If there’s anything we’ve learned from COVID-19, it’s that where and how we work is constantly changing. Innovative technologies will continue to be key to achieving this flexibility.

·Economic growth transformation. Global financial markets are in turmoil. The countries driving global economic growth are changing, and geopolitical challenges are changing the way business is done. Anticipating market changes and finding ways to succeed requires a lot of data analysis and insights, which will continue to grow in the coming year.

·The supply chain including procurement, manufacturing, distribution, inventory and last-mile delivery has changed, and data and insights have become critical. For many businesses, they are now under incredible pressure to ensure they adapt to changes in their supply chains to meet customer and employee expectations.

·cyber security. Cybersecurity is no longer just the job of corporate chief security officers, but everyone’s job. However, this needs to be done in a way that doesn’t create friction or slow down the business.

·The value of data. According to a survey report released by Statista, by the end of this year, each person in the world will generate an average of 97ZB of data. This creates huge opportunities if it can be captured, analyzed and applied to achieve better business results.

·Socially responsible businesses create opportunity and hope for everyone to make the right decisions to jointly impact climate change, diversity and inclusion, and make the world a better place.

(2) Metaverse technology will remain just hype, while digital transformation technology will develop rapidly

Shiva Nathan, founder and CEO of Onymos, said that although the metaverse technology may be There are some dazzling products emerging, but in 2023, the Metaverse won’t have any mass adoption or game-changing impact. For the foreseeable future, these technologies will remain just hype until more and more businesses better understand this space and its impact.

Technologies that accelerate digital transformation with a focus on cost reduction will gain momentum in 2023. The digital transformation trend that began during the COVID-19 pandemic will continue to accelerate, with companies looking for new ways to make systems and processes more efficient.

(3)IT sustainability and cost reduction

Ian van Reenen, chief technology officer of 1E Company, said that remote working will remain a constant trend in 2023. As more and more employees choose to work from home, people will see more about IT sustainability. discussions, including how to reduce IT costs and have a more positive impact on the environment.

About 70% of the carbon footprint of laptops we use comes from the manufacturing process, so companies can take practical actions to improve cost-effectiveness and sustainability by evaluating how to extend the life cycle of laptops and other devices. A key question business leaders are asking is how their companies can repurpose and refresh IT equipment more effectively.

Artificial Intelligence and Data

(1) Major Expansion from Robotics to Intelligent Automation

Executive Vice President of Global Technology U.S. Omni-directional Technology, Walmart Inc. President Srinivasan Venkatesan said that over the past few decades, the value of automation has mainly come from using robots to replicate human behavior and eliminate laborious and repetitive tasks. In 2023, it is expected to witness a major expansion from robots to intelligent automation that uses artificial intelligence and analytics to perform data-driven tasks with little to no human interaction. This implementation shifts the reliance on human labor to technology, so workers can focus on other areas of the business.

As more businesses adopt this newer structure, they will find that their daily tasks are more efficient. Imagine being able to streamline hundreds of processes and decisions with just the operation of a keyboard and mouse, from prioritizing employee work tasks to stocking products on shelves to automating customer contacts. The possibilities and opportunities to optimize workflows and reduce costs are endless.

(2) Enterprises will seek artificial intelligence solutions that can achieve their goals

Charlie Boyle, vice president of DGX Systems at NVIDIA, said that in 2023, the inefficient x86 traditional computing architecture that does not support parallel processing will will give way to accelerated computing solutions that deliver the computational performance, scale, and efficiency needed to build language models, recommenders, and more.

Amid economic headwinds, enterprises will seek artificial intelligence solutions that can achieve their goals while simplifying IT costs and improving efficiency. New platforms that use software to integrate cross-infrastructure workflows will deliver breakthroughs in computing performance, lower total cost of ownership, reduce carbon footprints, and achieve significant return on investment in transformative AI projects that replace more wasteful, older architecture.

(3) Artificial intelligence will revolutionize security, risk and fraud

Ashok Srivastava, senior vice president and chief data officer of Intuit, said that artificial intelligence and powerful data capabilities redefine enterprises security model and features. Security practitioners and the industry as a whole will be armed with better tools and timely information, and they should be able to isolate security risks with greater accuracy. They will also use more marketing-like techniques to understand anomalous behavior and bad behavior.

(4) Personalization will shape employee experience

Quentin Clark, general manager of venture capital firm General Catalyst, said that personalization has become one of the main goals for enterprises and consumers seeking to build loyalty. one. In 2023, this kind of personalization will become more common in the workplace (personalized benefits, rewards, onboarding, training programs).

Employees are consumers at heart, and they will increasingly expect the personalized service they are used to in their daily lives into the workplace. At a time when employee recruitment remains challenging and companies are preparing for slower growth rates, personalization can help companies do more with fewer resources and ensure the stability of talent.

(5) The proactive footprint of security automation continues to expand

Leonid Belkind, co-founder and CTO of Torq, said that security automation deployment will shift to a proactive approach to help prevent cyber attacks Prevent before it happens, rather than retroactively building workflows and processes based on historical attacks.

This includes security teams leveraging early threat intelligence signals and building defenses against them into their workflows. The result will be a comprehensive new capability framework to defend against attacks, integrating the entire security stack into the most powerful protection approach to date.

(6) Artificial intelligence and machine learning systems must work in real time

Kuldeep Jiwani, senior vice president of data science at HiLabs, said that healthcare artificial intelligence will soon shift from a reactive state to a proactive state . To achieve this, AI and machine learning systems must work in real time. This can be achieved in several ways:

One way to implement proactive or predictive AI is to have a closed-loop system based on MLOps, where machine learning model training occurs in the background to generate results that are only applied to Models for real-time data. Observe prediction quality and, if prediction quality degrades, trigger an automatic closed loop that retrains the data to generate a new model and puts the new version back into the streaming prediction pipeline.

·Another way to achieve proactive artificial intelligence is to implement a continuous learning framework, in which the same model learns from mistakes and automatically corrects itself over time.

(7) Artificial intelligence methods will be based on the use of self-supervision and generative artificial intelligence algorithms

Evangelos Hytopoulos, senior director of data science at iRhythm, said that most artificial intelligence models today are based on supervised learning , where labels are combined with measurements to teach an algorithm to predict unknown data. However, creating a labeled dataset requires a lot of work, so often only a subset of the data can be labeled, limiting the learning capabilities of current models.

In the coming years, you can expect to see AI approaches based on the use of self-supervised and generative AI algorithms to facilitate the inclusion of larger amounts of data in model training.

Supervised learning is able to learn important features of the underlying measurements, which are richer representations of the data. The advantage of generative algorithms is that they create synthetic data - labels come from different signal domains and important features are learned from the domain of interest. In both cases, proper validation is required to prove the effectiveness of the algorithm and prove that there are no biases in its predictions.

(8) Automation, AIOps and Economic Recession

Mohan Kompella, vice president of product marketing at BigPanda, said that the economy in 2023 is very similar to what people saw at the beginning of the new crown epidemic. A recession will force companies to figure out how to scale through technologies like automation and AIOps, rather than scaling by adding more employees.

With many companies freezing employee hiring and being forced to work on fixed budgets, in addition to layoffs, businesses must find ways to support existing employees and create a less stressful environment for IT, SRE and DevOps teams. work environment to avoid employee burnout. Effective, automated solutions are therefore necessary.

(9) Industry-recognized open Lakehouse will appear

Steven Mih, co-founder and CEO of Ahana, said that as the market further selects table formats, calculation engines and interfaces As an open option, a Lakehouse version of the LAMP stack will appear. Projects from the Linux Foundation and the Apache Software Foundation will become components.

Cloud Computing

(1) Re-adjust multi-cloud strategy

Liz Centoni, chief strategy officer and general manager of applications at Cisco, said that with the The acceleration of globalization and data sovereignty issues will see a clear shift in enterprises leveraging multi-cloud architectures over the coming year. While 89% of enterprises adopt a multi-cloud strategy for a variety of reasons (geopolitics, technology, vendor diversity), the benefits come from the additional complexity of connecting, securing and observing multi-cloud environments.

We will see a huge shift towards new multi-cloud frameworks such as sovereign cloud, local zone cloud, zero-carbon cloud and other novel cloud offerings. This will create a path to more private and edge cloud applications and services, ushering in a new multi-cloud operating model.

(2) Cloud Computing Enables Compliance

John Engates, on-site chief technology officer at Cloudflare, said that for enterprise IT teams, complying with recently passed global privacy and data regulations has become a A nightmare. In 2023, cloud computing services will finally ease the compliance burden on these teams and automatically determine where data can be legally stored and processed.

I believe that most cloud computing services will soon have built-in compliance functions, and cloud computing itself should reduce the compliance burden on enterprises. Developers should not be required to know exactly how and where their data can be legally stored or processed, and the burden of compliance should be handled primarily by the cloud services and tools developers are building.

Network services should route traffic efficiently and securely while complying with all data sovereignty laws. Storage services should inherently adhere to data residency rules, and processing should adhere to relevant data localization standards.

(3) Availability will be the key to winning in 2023

Patrick Bossman, product manager of MariaDB, said that one thing he has learned in recent years is that downtime can have serious consequences for the business. Influence. In 2023, usability will be the secret sauce that separates the winners from the losers. Businesses need to avoid lock-in and have the flexibility to scale. With a diverse cloud computing environment, enterprises will minimize the impact of outages on their ability to continue operations.

(4) Collaborative efforts to modernize cloud computing

Andy Glassley, innovation director of Core BTS, said that in the past ten years, we have seen huge growth in the shift of enterprises to cloud computing. Gone are the days when on-premises infrastructure was fully adaptable to the changing technologies that businesses needed to stay competitive. We are now in the age of the cloud computing revolution, where applications can be better modernized through rehosting, refactoring, and more.

In 2023, we will continue to see enterprises migrating their operations to cloud platforms, and we will also see concerted efforts to modernize cloud computing. Enterprises will do more with existing cloud investments and innovate with cloud-native applications, hybrid applications and modern data foundations.

(5) The adoption of cloud computing is seriously affected by cost optimization

Haoyuan Li, founder and CEO of Alluxio, said a greater focus on cost optimization in 2023 is affecting cloud computing adoption. While public cloud has boosted business growth for many enterprises, global economic uncertainty will push large enterprises with data-intensive workloads to realign their cloud strategies with a greater emphasis on cost optimization, such as reducing egress costs.

The focus will be on the return on investment (ROI) and total cost of ownership (TCO) of their infrastructure, whether in the cloud, on-premises, or both.

(6) Cloud migration and repatriation will continue and bring new demands

Cassius Rhue, vice president of customer experience at SIOS Technology, said that due to the world-changing events of the past few years, Many enterprises have fast-tracked their cloud adoption journey and moved operations from on-premises data centers to cloud platforms. This cloud migration will continue, and at the same time, many enterprises will realize that migration itself is not a one-size-fits-all solution or a panacea for application availability problems.

The need for high availability of stateful applications in the cloud will drive enterprises to use clustering software. The redeployed system will leverage solutions to minimize customer churn and meet multiple application availability needs.

(7) Cloud computing cost management will give enterprises the upper hand Amit Rathi, vice president of engineering at Virtana, said that cost and resource optimization will be the key in 2023. Given the potential economic uncertainty, most enterprises want detailed visibility into cloud spending and the ability to control spending and optimize their resource utilization. Driven by digital transformation over the past few years, enterprises have adopted multiple cloud platforms based on their business needs.

As a result, most enterprises have little understanding of expenditures, relevance to business applications, and potential cost savings. As enterprises begin to mature towards cloud adoption, coupled with business pressure to reduce spend, enterprises with a proactive approach will be at a significant advantage in handling uncertainty.

Edge Computing

(1) Private 5G will collect more data at the edge than ever before

Hitachi Vantara Global Digital Innovation Marketing and Strategy Senior Director Bjorn Andersson said the use of private 5G networks in industrial settings such as manufacturing, where sensors and robots are heavily used, will begin to realize the promise of device connectivity, machine reconfigurability and real-time data analysis.

The increased use of private 5G will enable new connected devices to collect more data at the edge than ever before, in addition to wider adoption of Industrial IoT-enabled solutions in 2023.

(2) Edge developers will embrace open standards and frameworks

Azion CEO Rafael Umann said that if these platforms decide to increase prices or make other major changes, then by not Developers building applications on a platform that offers easy portability will have little recourse. Vendor lock-in is unacceptable for companies that must plan their budgets carefully.

Thus, in 2023, expect a strong focus on ensuring edge web applications rely on open standards and frameworks. This focus will increase enterprise interest in Web Assembly, Jamstack, and other technologies that are not tied to a specific provider. Building applications using these technologies enables developers to move from one platform to another as needed to optimize cost and performance.

(3) Super-specific machine learning and artificial intelligence will catalyze edge applications

Kris Beevers, co-founder and CEO of NS1, said that in the near future, artificial intelligence and machines Learning models will become highly personalized. Each model will be optimized for a specific person, location, or application, taking into account their specific needs and characteristics.

Creating these models will require processing and deploying massive data sets, far larger than a central data lake can handle. Therefore, edge infrastructure will be a key way to make the creation and storage of these models more sustainable.

(4) Enterprises will spatialize data in 2023

Nima Negahban, CEO and co-founder of Kinetica, said that as they move through time and space, they can broadcast their longitude and The cost of latitude sensors and equipment is falling rapidly with corresponding widespread adoption. It is predicted that by 2025, 40% of connected IoT devices will be able to share their location, up from 10% in 2020.

Spatial thinking will help innovators optimize existing operations and drive long-awaited digital transformation in areas such as smart cities, connected cars, transparent supply chains, proximity marketing, new energy management technologies, and more.

(5) Edge computing will flourish

Tenry Fu, co-founder and CEO of Spectro Cloud, said that as an operating system for data centers, Kubernetes may already be popular, but Its real value may be at the edge, where its migratory and elastic application workloads can power a nearly unlimited number of digital business processes and customer experiences.

Research found that 35% of Kubernetes users in production industries are already running Kubernetes at the edge, and more plan to do so within a year. These use cases vary widely, from fruit-picking drones to artificial intelligence on MRI machines, and many of them have the potential to generate revenue and competitive differentiation for businesses that use them correctly.

But from manageability to security, the challenges are equally huge. 2023 is the turning point, when the challenges will catch up and edge technologies will truly become mainstream.

Network Security

(1) Emphasis on the security, threats and vulnerabilities of machine learning

Nick Landers, vice president of research at NetSPI, said that machines Learning is already deployed in many technologies, particularly those related to security, such as email filters, security information and event management (SIEM) dashboards, and endpoint detection and response (EDR) products.

If people think they can delay security conversations with machine learning, they need to think seriously. An increasing number of security researchers are focusing on adversarial machine learning, which includes attacks on the model itself (inversion, extraction, cloning, etc.) as well as the use of machine learning in cyberattacks and social engineering. In the coming year, we will see more and more vulnerabilities being published against machine learning ensemble systems.

(2) Development of Zero Trust

Shash Anand, senior vice president of product strategy at SOTI, said that zero trust is a mentality; don’t trust anyone or anything without verified credentials. Something to access data or join a network. While for some this may result in a loss of productivity as it may take longer, proving true identity is important for security purposes. Enterprises must have the right tools in place to provide single sign-on and verification based on multi-factor authentication.

People can expect zero trust to improve mobile security as it ensures that only authenticated users have access.

(3) Network security transparency will become an advantage

Jacob DePriest, vice president of GitHub, said that while enterprises are improving their methods of detecting and defending against network attacks, they must also improve their relationship with the network. Attack-related communication methods. We've already seen a lot of data breaches in 2022, and 2023 won't be any different.

We will see more companies further embracing transparency as a means of strengthening trust in their businesses. Increasingly, security leaders will focus on building an environment where the security team is an empowered, trusted business partner. It’s important to prioritize open, transparent communications around security incidents to build trust with internal and external stakeholders.

The threshold for internal privacy and data protection will naturally be raised, while the threshold for external sharing of security incidents will be lowered.

(4) Security issues are a top priority for IT leaders

Tal Dagan, chief product officer of Atera, said that enterprises are paying more attention to network security and seeking solutions to make their devices Less vulnerable. More IT departments are expected to implement IT monitoring solutions as businesses have higher requirements for service quality and are increasingly afraid of increasing cyber attacks.

(5) Behavior-based analysis and detection will be required

Adam Koblentz, chief technology officer of RevealSecurity, said that many incidents in 2022 show that two-factor authentication is not enough to prevent advanced persistent threats ( APT).

In 2023, enterprises will need to take action to detect cyber threats faster (this can only be achieved through automation). Businesses won’t use detection tools that are too noisy or inaccurate because they would place too much of a burden on their teams. Behavior-based analytical detection will be required to address threats faced by enterprises.

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