IDC research indicates that global governments and businesses will be investing a staggering $500 billion in AI technology this year, and the reasons for this are readily apparent.
From self-driving cars and robots serving food in restaurants to virtual assistants, AI has already made a splash in our daily lives, and there is no stopping. But what’s next for our robot overlords? What AI trends will dominate this year, you ask?
This blog delves into the anticipated AI trends that are expected to cause a stir in the current year.
Top AI trends for 2023
1. Generative AI steals the show
By 2023, AI will not solely be used as a method to automate mundane tasks but will also be delving into the realm of imagination. The concept of generative AI, which employs existing information to invent unique and unprecedented creations, will come to light.
You might be familiar with powerful players in this field such as GPT-3 and DALL-E, created by OpenAI, which possess the ability to produce text and imagery that is difficult to differentiate from human-generated content. Nevertheless, this technology does not solely serve purposes relating to entertainment and art, as it is also utilized for generating synthetic data that companies can leverage for various objectives.
Generative AI is expected to be increasingly utilized by businesses in 2023, thanks to its growing popularity as showcased through the Metaphysic act and widespread use in deepfaked videos.
Generative Pre-trained Transformer 3 (GPT-3)
In 2020, GPT-3 was created as a predictive language model, utilizing its study of countless online webpages and scientific documents to “autofill” text. GPT-3’s capabilities are derived from 175 billion parameters for machine learning.
By providing contexts such as topics, descriptions, or introductory sentences, this generative AI product can operate like existing copywriting tools that produce written content with a human touch. It can be utilized to create outlines, summaries, essays, op-eds, and other written materials.
Nevertheless, GPT may exhibit partiality since its results are based on previously circulated material that could potentially present bias related to race, religion, or gender.
ChatGPT
ChatGPT, which was introduced in November 2022, is a bot adaptation of GPT-3. As a massive language model, it has the ability to react to inquiries and accomplish tasks by utilizing the knowledge obtained from human conversations and online materials created by human beings.
The AI gained knowledge about how humans typically respond when asked a question, known as the “human style”, by analyzing feedback from sources like Reddit.
ChatGPT was developed by OpenAI to emulate human-like conversations. Its ability to generate and manage lists, as well as produce letters with a natural tone, has led several industries to anticipate its expanded role as an office aide and patron assistance.
ChatGPT has raised concerns about its potential misuse for crafting essays and scholarly papers, as its output may contain gibberish phrasing and factual inaccuracies. To avoid spreading misinformation in customer service scenarios, it may be prudent to evaluate ChatGPT’s effectiveness through audits.
DALL-E
In 2022, DALL-E gained immense popularity amongst the three OpenAI inventions, primarily due to its graphic-creation capabilities. The name of the product is a combination of Salvador Dali, the Spanish surrealist, and the robot character WALL-E from Pixar’s 2008 animated movie.
By typing a description, it is possible to generate multiple versions of artwork using DALL-E. Additionally, text prompts can be used to create a fresh image based on an already existing one.
DALL-E’s functionalities include both “in-painting” which entails the removal of certain elements of an image, followed by its replacement with another. Alternatively, users can also engage in “out-painting,” whereby DALL-E enhances a photo by adding more elements to its original composition such as additional scenery or the main subject. As such, DALL-E’s features prove useful in the branding and creative marketing fields.
2. Further democratization of AI
Can you picture a scenario where AI is accessible to everyone simply by clicking on it, irrespective of their digital know-how? Might seem improbable, but it’s actually a reality!
The growth of AI technology shows no signs of deceleration. Its accessibility is set to increase, owing to the increasing volume of apps that offer AI features. Even those who are not technology savvy can now benefit from predictive text suggestions as well as generate intricate visualizations and reports with ease.
In the event that an app doesn’t perform the necessary function, it is possible to develop your own AI-based solution using platforms that require no coding or minimal coding.
The democratization of AI is enabling the general public to access it easily and reducing the skills gap in the industry. As a result, businesses and organizations are now able to empower their staff to become data scientists and engineers, enabling everyone to benefit from the power and usefulness of AI.
3. Human and AI collaboration becomes a norm
Prepare yourself to collaborate closely with AI, for it is projected to gain prominence in 2023 and continue to do so. AI will be widespread, covering code creation, automatic testing, deployment and issue resolution, content production, and streamlining everyday tasks.
Gartner predicts a substantial increase in the utilization of AI in software development by the conclusion of the decade. By 2030, it is projected that a majority of employees, roughly 80%, will have daily interactions with intelligent AI tools, a significant rise from the current less than 10%.
To make it possible, teams need to concentrate on assisting the collaboration between humans and machines.
By utilizing the swiftness and accuracy of AI, automated procedures will experience advantageous effects. On the other hand, humans will center on completing specific and imaginative undertakings like design and user experience. This approach allows teams to increase their efficiency and productivity.
These fields will see a higher prevalence of cobots.
In the field of automotive production, tasks encompass assembling vehicles, applying coats of paint, refining surfaces, verifying systems, and modifying production lines to facilitate the manufacture of electric cars. Businesses that engage in palletizing and welding operations anticipate increasing their use of cobots with greater carrying capacities and extended operational ranges.
Drones are utilized in agriculture for a variety of purposes including planting seeds, applying fertilizer and pesticides, tracking trespassers and invasive species, and implementing LED lighting and hydroponics techniques for indoor farming.
Healthcare and hospitality services encompass activities such as collecting samples, restocking hospital supplies, facilitating surgery, supporting the recovery process after injuries, and providing assistance to healthcare workers in residential and nursing care facilities catering to the elderly or disabled.
The storage and packaging of food and drinks.
The electronics industry performs quality checks on chips for phones, processors for phone chips, and printed circuit boards.
New advancements in technology include torque sensors, proximity detection sensors, and end-effectors such as vacuum, mechanical, pneumatic, and magnetic grippers that are used at the end of robotic arms.
The defense task involves removing explosive devices from roads and utilizing sensors for explosive detection.
To alleviate labor shortages and supply chain problems, businesses may use these machines. To enhance safety and minimize expenses, industries like healthcare, construction, and defense may substitute conventional training techniques with VR and AR-based learning.
4. Growth of conversational AI
It is predicted by experts that the utilization of conversational AI systems will expand across diverse industries by 2023.
Although current chatbot technology may not be equipped to handle intricate queries, emerging AI trends have the capability to augment their sophistication and productivity. Enterprises are progressively embracing conversational AI assistants in their workflows, however, to achieve expected outcomes, it is crucial to remain informed about the latest AI trends.
Incorporated in these trends are personalization of interactions through integrations, reduction of IT workload by utilizing a no-code approach, and enabling an understanding of user intent and provision of personalized responses through the use of natural language processing, machine learning, and sentiment analysis.
5. AI-focused cybersecurity
IT professionals should brace themselves as the level of cyber attacks is expected to increase in complexity by 2023. The year 2021 saw a significant 50% rise in cyber attacks compared to the previous year, and there is no indication of a decrease, highlighting the importance of organizations placing cybersecurity at the forefront of their agenda.
To safeguard AI systems against severe attacks, companies must reconsider their network and cloud security. In 2023, companies are expected to integrate AI technology into their cybersecurity measures, wherein intelligent security models will analyze log data from AI systems, identifying suspicious activity and alerting security teams to take preventative measures.
By incorporating artificial intelligence into their security systems, organizations can significantly minimize the amount of manual labor required to maintain their systems’ security, particularly in the area of identity and access management.
Another trend to look out for is using AI to monitor and analyze user activities, identify anomalous behavior, and enhance security across the customer authentication experience. This can help businesses stay ahead of cybercriminals and protect their sensitive data.
With the emergence of these new threats, there will be an increase in job opportunities for those pursuing a career in information security. Professionals will have the ability to implement and supervise artificial intelligence for security measures.
Managing data involves the processes of sorting, organizing, unifying, and ensuring the accuracy of information.
Identifying criminal behavior through surveying network traffic patterns for vulnerability management.
By relying on predictive AI, threat detection can effectively prioritize and address the alerts that pose the greatest risk among the multitude of options available.
In 2022, IBM revealed that companies that have established cyber risk management frameworks and protocols were able to save an average of USD3 million and shorten breach timelines by 74 days, thanks to their prompt detection and response.
To deal with the increasing incidences of cyber threats, insurance markets may embrace innovative technologies and tactics to evaluate and handle cyber risks. They may also implement risk-based valuation and clauses for ransomware and cyberattacks.
6. Emphasis on ethical AI
As artificial intelligence becomes increasingly prevalent in our day-to-day activities, we must concern ourselves not only with the possibility of cyber attacks but also with the ethical use of this technology by businesses. By 2023, the priority will be on creating more ethical and transparent AI models.
Trust forms the foundation of this issue. To gain knowledge, AI necessitates data, which frequently involves personal data. Health or financial information, which are often sensitive, may be required for some of the most valuable and potent AI functionality. If the public lacks trust in or comprehension of AI’s decision-making process, they will withhold their information, causing the entire system to crumble.
AI will witness endeavors in 2023 to resolve the “black box” predicament. The individuals in charge of executing AI systems will endeavor more intensely to verify that they can clarify how they reach conclusions and the information they employ to do so.
As companies aim to eradicate partiality and injustice from their automated decision-making systems, the importance of AI ethics will continue to grow. Prejudiced data has the potential to produce unfair treatment and discrimination in automated outcomes. Given AI’s involvement in decisions related to healthcare, employment, access to justice, and more, such outcomes are unacceptable.
7. The rise of intelligence automation
In 2023, there will be a significant trend towards the convergence of AI and RPA in order to produce advanced automation solutions. The combination of AI’s features, like machine learning, natural language processing, as well as image recognition, with RPA’s automation capacities can offer fresh opportunities to enhance business operations.
For companies seeking to expedite the integration of AI into significant activities and decisions, RPA can act as a cornerstone. Through RPA, robots can automate decision-making procedures and carry out intricate analyses, streamlining day-to-day operations, and boosting productivity and precision.
By utilizing current AI advancements, businesses have the opportunity to enhance their RPA systems. Machine learning may be employed to heighten accuracy in decision-making, natural language processing can facilitate better comprehension of customer requirements, and image recognition can be utilized for automated extraction of data from diverse sources.
8. Digital twinning
Industries develop virtual models for simulations using AI, which are known as digital twins. These replicas mirror physical objects or processes and enable prediction of product/system performance. A case in point is the Omniverse platform by the reputed GPU manufacturer NVIDIA, which utilizes digital twin technology to assist various companies as described below:
BMW
BMW Group in Germany utilizes Omniverse to construct its virtual factory. The software combines data from various planning and design tools made by different manufacturers to produce live, lifelike simulations in a unified environment.
This virtual platform is available to employees from various locations and time zones for them to efficiently plan and enhance production processes without traveling. By using the Omniverse, BMW’s entire manufacturing network of 31 factories, including humans, factory interiors, assembly parts, and robots, can be simulated.
Lowe’s
Lowe’s Companies Inc., which is an American retailer, has utilized the Omniverse to create simulations of its two stores situated in Mill Creek, Washington and Charlotte, North Carolina. These simulations can be accessed by the personnel through their desktop computers or the Magic Leap 2 augmented reality headsets.
The Omniverse version of the store will aid in restocking shelves, rearranging layouts, accessing product information from sealed boxes on difficult-to-reach shelves with “X-ray vision,” and refining customer satisfaction through 3D heat maps that display customer traffic and sales performance.
HEAVY.AI (formerly OmniSci)
The HeavyRF tool from analytics firm HEAVY.AI is utilized by Omniverse to create wireless network plans for its telecommunications customers.
By replicating genuine scenarios, including locating customers and obstacles, such as the material makeup of obstructions, AI tools enable telecommunications companies to identify optimal positions for their cellular towers and base stations, in turn decreasing their expenses and shortening planning timeframes for their 5G infrastructure.
