by Teknita Team | Jan 17, 2023 | Artificial Intelligence - Machine Learning
The Turing Test is a test of a machine’s ability to exhibit intelligent behavior that is indistinguishable from that of a human. It was proposed by Alan Turing in 1950 as a way to determine whether a machine can “think.” The test involves a human evaluator who engages in natural language conversations with both a human and a machine, and must determine which is which based solely on their responses. If the evaluator cannot reliably tell the machine from the human, the machine is said to have passed the Turing Test.
The Turing Test has several potential benefits as a measure of machine intelligence. Some of the main advantages include:
- The test is relatively simple and easy to understand, making it accessible to a wide range of people.
- The test is based on the idea of human-like intelligence, which is a widely accepted and familiar concept.
- The test provides a clear and objective criteria for determining whether a machine is “intelligent” or not, which can help guide research and development in the field of artificial intelligence.
- The test can be used to compare the performance of different AI systems and track their progress over time.
- The test is a good way to evaluate the performance of AI in a way that is easy to replicate, compare and evaluate over time.
Additionally, the test provides a clear and objective criteria for determining whether a machine is “intelligent” or not which can help guide research and development in the field of artificial intelligence. It can be also a way to evaluate AI performance in an easy way to replicate, compare and evaluate over time.
On the other hand, there are several criticisms and limitations of the Turing Test as a measure of machine intelligence. Some of the main issues include:
- The test focuses solely on the ability to mimic human-like behavior and communication, rather than on the underlying intelligence or consciousness of the machine.
- The test is heavily dependent on the human evaluator’s subjective judgment, and may be influenced by factors such as the machine’s appearance or the human’s own biases.
- The test does not take into account the possibility that a machine could be intelligent in ways that are fundamentally different from human intelligence.
- The test does not consider the possibility of a machine deceiving the human evaluator, by providing pre-programmed or rehearsed responses rather than truly understanding the meaning of the questions.
Additionally, some argue that the test does not necessarily demonstrate true intelligence but rather the ability to simulate human-like intelligence and that it’s not a true measure of machine’s ability to think or being conscious.
The test is still widely discussed in the field of artificial intelligence. Overall, it can be said that the Turing test is a useful tool to measure certain aspects of AI but it should not be considered as the only tool or the ultimate measure of machine intelligence.
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by Teknita Team | Jan 16, 2023 | Artificial Intelligence - Machine Learning
OpenAI is a research company that aims to promote and develop friendly Artificial Intelligence (AI) in a way that benefits humanity as a whole. It was founded in December 2015 by Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, Wojciech Zaremba, and John Schulman. The company conducts research in various areas of AI, including deep learning, computer vision, and natural language processing (NLP). Lately OpenAI introduced Revolutionary Language Model – ChatGPT.
ChatGPT (also known as the “Generative Pre-trained Transformer”) is a language model developed by OpenAI. It is based on the transformer architecture, which was introduced in a 2017 paper by Google. The model is pre-trained on a large dataset of internet text, and can be fine-tuned for specific tasks using a smaller dataset. Because of its large size and high quality pre-training, ChatGPT can generate human-like text and perform a wide range of natural language processing tasks with high accuracy.
ChatGPT can perform a variety of natural language processing tasks such as:
- Text generation, where it can generate new text based on a given prompt or seed text.
- Text completion, where it can complete a partially written sentence or paragraph.
- Text summarization, where it can generate a summary of a given text.
- Text classification, where it can classify text into different categories based on its content.
- Text generation, where it can generate new text based on a given prompt or seed text.
- Language translation, where it can translate text from one language to another.
- Text answering, where it can answer questions by providing relevant information from a given text.
- Dialogue generation, where it can generate responses in a conversation.
- Sentiment analysis, where it can determine the sentiment (positive, negative, neutral) of a given text. and many more However, it’s important to note that the quality of the results may vary depending on the task and the quality of the input provided to the model.
Why ChatGPT is worth to use:
- Generate more human-like text and understand natural language input better than models that have not been pre-trained.
- Flexibility: ChatGPT can be fine-tuned for a variety of specific tasks, such as text generation, text completion, text summarization, and language translation, which makes it a versatile model that can be used for different applications.
- High Quality: The pre-training of the model is done on a massive dataset and fine-tuning it with a smaller dataset results in high quality and accurate results.
- Advance features: ChatGPT has the ability to perform tasks such as text answering, dialogue generation, and sentiment analysis, which makes it a powerful tool for various NLP use cases.
- Accessibility: The pre-trained weights and the fine-tuning code is available in open-source libraries such as Hugging Face and OpenAI API, which makes it accessible to researchers and developers around the world.
Overall, ChatGPT’s pre-training, flexibility, high quality, advanced features, and accessibility make it a valuable tool for natural language processing tasks.
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by Teknita Team | Jan 12, 2023 | OpenText, Uncategorized
Valuable information is buried in emails – from your clients, sensitive projects and legal matters. It is increasingly difficult to find, organize and see the full set of relevant information lawyers and other knowledge workers need to respond quickly and stay on top of their projects and cases. An ever-growing volume of email often leads to “content chaos” – burdened email servers, increased compliance risk, such as organization’s retention policies, and the inability of employees to locate relevant content in those emails when searching for specific information.
Finding information in email drains productivity
Knowledge workers are spending more and more time each day on administrative tasks related to email organization and management; in fact, it’s estimated that 28% of their time is spent reading and sending emails. Simply stated, finding information in email drains employee productivity. Even with automated filters, email filing administration is time-consuming and overwhelming, because emails never stop pouring in and each message is accompanied by the expectation of a timely response.
OpenTextTM Email Filing, eDOCS Edition makes knowledge workers more productive with these time-savers:
Quick filing: Easily save emails to specific client folders via a button on your Microsoft Outlook ribbon or with a right mouse click – using predictive filing suggestions. Save time as suggestions are displayed based on the most recently accessed profiles and email threads.
Bulk filing: Quickly file large volumes of email without slowing productivity. With Bulk Filing, users can automate the email filing process by assigning profiling data to specific Outlook folders. All emails that are moved into the Outlook folders are automatically filed into eDOCS with the assigned profile data of the folder. Email can also be filed on mobile devices by dragging and dropping them into monitored folders.
Marking: See in Outlook when your email has been automatically stored to eDOCS document management system (DM). With Email Marker, users can color-code their emails according to filing status and profile data via their Outlook categories field. Save time by keeping track of filing status at-a-glance with this visual cue and never miss filing (or duplicate filing) again.
Email Filing Assistant: Analyze message history and inbound email addresses to suggest automatically the best place to store those emails in the eDOCS library.
You can read more about OpenTextTM Email Filing, eDOCS Edition here.
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by Teknita Team | Jan 10, 2023 | Security
Network security is constantly evolving. Here are some practices to follow:
Review the basics
Regular reviews of the basic elements of network security, including reminding employees of their own responsibilities, allows you to identify and correct elementary vulnerabilities. Strong password protocols are more important than one can think.
Ensure you have end-to-end visibility
Enterprises need end-to-end visibility to see everything that happens on your network in an instant, with all the high-fidelity metadata at your fingertips so you can know in real time how users, devices, systems and applications are behaving on the network.
Aggregate your data in a SIEM
Security Information and Event Management (SIEM) technologies is a solution that helps organizations detect, analyze, and respond to security threats before they harm business operations. SIEM combines two functions: security information management and security event management. This combination provides real-time security monitoring, allowing teams to track and analyze events and maintain security data logs for auditing and compliance purposes.
Employ proactive threat hunting
Threat hunting is a proactive measure that can uncover anomalies in your network, such as non-human patterns, spikes of activity outside normal business hours and other red flags that may indicate an attack, insider theft or intentional destruction of data.
Have a response playbook
Many organizations are now shifting their resources from perimeter protection to incident response with a mindset of continuous compromise. An incident response playbook empowers teams with standard procedures and steps for responding and resolving incidents in real time. Playbooks can also include peacetime training and exercises, which will prepare the team for the next incident.
Hire a certified internal threat analyst
A cyber threat intelligence analyst takes all of the information derived from your threat intel program— from active threats to potential security weaknesses—and creates a plan that your defense teams can use to better target critical risks and risk apertures. That’s essential for your company to hire the best CTIA.
Access to the PCAP
PCAP is a valuable resource for file analysis and to monitor your network traffic. Packet collection tools like Wireshark allow you to collect network traffic and translate it into a format that’s human-readable. There are many reasons why PCAP is used to monitor networks. Some of the most common include monitoring bandwidth usage, identifying rogue DHCP servers, detecting malware, DNS resolution, and incident response.
Use a managed solution
A managed solution runs the daily operations of your business’ applications across product portfolios and in any cloud or on-premises environment. It provides the compliance, security, and availability you need and expect, freeing up in-house IT to focus on the core competencies of the business.
Compare real cost-effectiveness
When analyzing the total cost of ownership of your integration solutions, thoroughly evaluate both apparent and hidden software and hardware costs of integration tools. Even more importantly, you need to account for the costs related to implementing, supporting, maintaining, updating, and growing integrated environments. Integration resourcing costs represent a majority of overall integration costs. Leveraging Managed Services can help reduce integration costs.
You can find more information about Network Security in our blog and here.
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by Teknita Team | Jan 9, 2023 | Uncategorized
This year, governments will focus on implementing technology that can help them improve citizen experience, be socially responsible, become more agile, increase cyber resilience, detect and prevent fraud and streamline supply chains using IoT.
Here’s an overview of the trends I predict will most impact the public sector in 2023.
Total Experience takes center stage
In the year ahead, government organizations will continue to invest in citizen experience technology platforms. The most successful organizations will deploy total experience. “Total experience (TX) is an approach that combines the disciplines of UX, CX (inclusive of all government customers, residents, visitors, businesses and others), EX, and MX for a more holistic service design and delivery,” says Gartner®[i]. “It represents a logical evolution in maturity away from CX or EX management in isolation toward creating shared and better experiences for people, regardless of what role they play inside or outside the organization.”
Strong preference for socially responsible vendors
In 2023, governments will look for socially responsible vendors who can help them manage interactions with Indigenous Peoples. Governments will need to partner with technology providers that demonstrate strong environmental, social and governance (ESG) commitments to help them manage their repatriation initiatives in a socially responsible way.
Accelerating the migration of data to the cloud – securely
Cloud become a key enabler for digital transformation in government, with plan to migrate some workloads to the cloud. This trend will accelerate in 2023, particularly as security-related programs such as FedRAMP in the U.S. transform the way government data is stored in the cloud. In 2023, we’ll see governments looking to FedRAMP-authorized digital solutions that enable them to securely connect and manage content, automate processes, increase information governance and create engaging digital experiences.
New approaches to pursuing zero trust
The strategy of zero trust has become increasingly popular in government. This trend has only accelerated during the pandemic, as governments were faced with an increase in fraud and sophisticated cyber attacks like SolarWinds. In 2023, the rise in cyber attacks on government will force agencies to continue to evolve their approach to security. More public sector organizations will adopt the zero-trust model, while many others will outsource key elements of their security with a Managed Extended Detection and Response (MxDR) approach.
Learning from COVID-19 aid scammers
The Washington Post recently reported that $45.6 billion was illegally claimed from the U.S. unemployment insurance program during the pandemic by scammers using Social Security numbers of deceased people. Governments admirably rushed to get COVID-19 relief to individuals who needed it, but this also resulted in unprecedented levels of fraud as scammers sought to take advantage of government expediency. In 2023, governments will need to develop lessons learned, modernize legacy applications and deploy technology to flag risky transactions and reduce fraudulent activity.
IoT deployments find new uses
In 2023, new IoT applications will come to the forefront for government. For example, sensors can detect when the weight on a pallet slips below a designated level, triggering an inventory re-order. Defense and intelligence agencies will need to accelerate and expand their IoT deployments to more efficiently operate ethical supply chains, warehousing and environmentally friendly fuel and equipment management.
You can read more about Public Sector Development here.
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