Tag: Software Development

Sebastian, can you start by sharing your background and what led you to your current role as VP of Engineering at Storyblok?

My journey in the tech industry began with a deep interest in software development and a passion for creating innovative solutions. Over the years, I have held various roles in engineering and management, which have provided me with a broad perspective on technology and its applications.

Before joining Storyblok, I worked with several startups and established companies, focusing on building scalable and secure software solutions. My experience in these diverse environments has been instrumental in shaping my approach to engineering and leadership. With Storyblok, I was drawn to the company’s vision of transforming content management and the opportunity to lead a talented team in driving this innovation forward.

In what ways can generative AI be utilized to create malicious content such as phishing emails and social engineering attacks?

Generative AI can produce highly realistic and personalized phishing emails by analyzing vast amounts of publicly available data about potential targets. This allows attackers to craft messages that are more likely to deceive recipients into divulging sensitive information. Similarly, AI can generate fake social media profiles or impersonate trusted contacts, enhancing the effectiveness of social engineering attacks. The ability to produce high-quality, contextually relevant content at scale means that these AI-generated threats can bypass many traditional security filters designed to catch generic phishing attempts.

The current cybersecurity measures seem adequate. What specific measures do you believe are most effective against AI-driven attacks?

While current cybersecurity measures provide a foundation, they need to be enhanced to effectively counter AI-driven attacks. Key measures include advanced threat detection where AI and machine learning are used to detect and respond to threats in real-time, behavioral analytics, which is the monitoring of user behavior to identify deviations that may indicate compromised accounts. Zero Trust Architecture is also important which involves implementing a model where verification is required for every access request, regardless of its origin.

Keeping staff informed about the latest threats and best practices to mitigate human error are also key measures in reducing the threat of AI-driven cyber attacks as is Multi-Factor Authentication (MFA) where an extra layer of security is added to verify user identities.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-sebastian-gierlinger/

Related Articles -

Data Privacy With CPOs

AI in Drug Discovery and Material Science

Trending Category - AItech machine learning

Hello Dor, we’re delighted to have you for this interview! Could you kindly provide an overview of your professional journey leading up to your current role as Chief Technology Officer at Connatix?

Hello, thank you for having me! My journey in the tech world began at Microsoft as a software engineer, where I gained a solid foundation in software development. Driven by an interest in the possibilities of AI, I later founded a startup focused on developing technology to analyze text and generate interactive, visual experiences. This was eventually acquired by Connatix, a video technology company for publishers and advertisers. I joined Connatix as VP of AI and Content Automation, and through a series of progressive leadership roles, I recently became the CTO here.

As the new CTO at Connatix, could you elaborate on the primary areas you’re prioritizing to drive technological innovation and growth within the organization?

In my role, the focus is on three key areas: refining our product vision and aligning it with both market and client needs, enhancing our technological capabilities to ensure we remain at the forefront of video technology, and fostering an innovative culture within our teams. We’re particularly keen on advancing our AI-driven solutions to keep our offerings competitive and relevant.

In your estimation, how do you anticipate advancements in GenAI will influence the landscape of video and advertising in the coming year?

GenAI is poised to dramatically transform the advertising and video industries by automating content personalization and optimization at scale. Over the next year, I anticipate these technologies will make significant strides in enhancing how content is created and delivered, making these processes more efficient and tailored to individual user preferences.

Among the developments in GenAI, which aspects are you particularly enthusiastic about, especially in relation to your responsibilities at Connatix?

The capability of GenAI to automate complex processes and personalize content at a granular level excites me the most. These advancements align perfectly with our goals at Connatix, where we aim to revolutionize how video content is served to users, ensuring it is both engaging and relevant.

Can you share your personal approach to nurturing innovation and maintaining a competitive edge in the swiftly evolving arena of technology and advertising?

At Connatix, our motto is ‘Innovate to survive’. In the fast-evolving landscape of our industry, continuous innovation and invention are imperative to stay ahead of the curve. We believe that our success hinges on our ability to move quickly, experiment, embrace failures, and maintain agility in testing new ideas with clients. We see every challenge as a chance to get better and prepare for future success, and we take these opportunities seriously. Additionally, we emphasize continuous learning, integrating business knowledge with our development teams, and fostering an environment where ideas and failures are encouraged—as long as we can swiftly recover

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-dor-leitman-cto-at-connatix/

Related Articles -

Platform Engineering Tools 2024

Top Five Best AI Coding Assistant Tools

Trending Category - AI Identity and access management

Programming is the backbone of modern software development, as this aids in driving creation when creating innovative applications and systems that eventually power the digital world. However, the coding process can be complicated and challenging, but thankfully, with the development of modern software, software developers (DEV) can easily navigate intricate syntax, troubleshoot errors, and manage large codebases. Therefore, with the introduction of AI, coding assistants have emerged as valuable partners that can change the programming game forever and enhance the coding experience for DEV.

In today’s AITechPark article, we will explore the top five AI Coding Assistant tools, especially those made for developers, to streamline every process and boost workflow.

Codiga

The first AI coding assistant tool on our list is Codiga, which focuses on elevating the coding experience by providing intelligent support, code optimizations, and autocomplete suggestions that enable developers to write codes more efficiently. The tool analyzes code for potential errors and vulnerabilities, allowing users to identify and fix the problem before it is set out for production. Codiga excels at code refactoring as it supports more than 12 programming languages, including PHP, C++, Java, and Python, enhancing performance and readability. Regarding pricing, Codiga offers free individual plans, while the paid subscription starts at $14 per month.

Amazon CodeWhisper

Amazon’s CodeWhisperer provides real-time suggestions for developers, allowing full functions tailored to existing code that will help streamline their coding experience and make it easier to encounter unfamiliar APIs. The platform is identified as an open-source suggestion providing information related to the projects, such as URLs and licenses for easy reviewing of codes and their attributions. Beyond code suggestions, Amazon CodeWhisper facilitates comment completions for increased documentation. The tool supports popular programming languages such as Python, Java, and JavaScript and seamlessly integrates with IDEs such as Visual Studio Code, AWS Cloud9, and PyCharm. Amazon CodeWhisper is free for individual users, but the professional plan starts at $19 per month.

With the advancement in technology, AI coding assistant tools play an essential role in the software development industry, especially with continuous learning and improvement. These tools have the potential to reshape the coding experience and foster innovation and code excellence. Hence, by embracing the above AI Coding Assistants’ software, developers and programmers can overcome the challenges related to coding and enhance their skills to create high-quality software solutions.

To Know More, Read Full Article @ https://ai-techpark.com/the-top-five-best-ai-coding-assistant-tools-in-2024/

Related Articles -

Mental Healthcare with Artificial Intelligence

Deep Learning in Big Data Analytics

Trending Category - AItech machine learning

Hardly a week goes by without news of a ‘technical issue’ or outage. Sainsbury’s, Marks & Spencer and Tesco Bank are just some of the well-known brands that have experienced tech meltdowns in recent weeks.

We’ve come to expect IT crashes as a part of life, but if handled poorly, they can snowball into a major crisis, tarnishing a company’s reputation, eroding consumer trust and resulting in lost sales.

Here are five safeguards brand owners can put in place to protect their sites and minimise fallout from an IT crash.

Be alert

Do an audit of your site at least once a year with penetration (PEN) testing, where you look for any vulnerabilities in any of your systems. It’s not a guarantee that your site is absolutely secure and glitch-free, but as a brand, at the very least, you will have tried to identify any potential issues and protect your site and stored data.  Being proactive with system security alongside testing and QA reduces the risk of outages drastically.

Alongside PEN and code testing, you need to know when systems go down. There is nothing worse than a customer notifying you that your website or platform doesn’t work.

Setting up monitors for your systems to notify you is the first step of your action to an outage. Depending on your user, you can even make these publicly accessible, like Slack (https://slack-status.com/), and other platforms so your users are aware of this issue as it happens.     

Consider your site structure

It is possible to limit outages to specific parts of a site, but it will depend on how your website or platform is built and whether different parts of it are hosted on separate services, for example.  This approach could help contain the fallout from an outage. Take X, formerly Twitter: its likes and tweets are kept separate where microservices are used for each, so if ‘likes’ were to go down, tweets would still be visible. We would advise this type of structure for brands that would benefit from such an approach. A microservices set up would benefit anyone that’s creating a platform for users need to complete things in, such as banks, ecommerce but not needed for things like marketing websites and ‘brochure’ websites.

Post-crash follow ups

The level of testing required and the number of times this is needed will depend on the size of the company, its user base and its product.  It is also essential to take tech developments into account, all of which can impact even the most robust of sites. We recommend PEN tests once a year, but above all, be vigilant, take customers seriously and respect their data.

If you’ve suffered an outage, there’s nowhere to hide. Being proactive rather than reactive shows that you care, which can make a big difference to your reputation.

To Know More, Read Full Article @ https://ai-techpark.com/when-tech-glitches-threaten-your-brand-perception/ 

Related Articles -

Democratized Generative AI

Explainable AI Is Important for IT

Trending Category - Patient Engagement/Monitoring

The digitized world relies heavily on computer-driven processes, and the demand for innovative software products and solutions is all-time high. Organizations and institutions are constantly reshaping their digital structure by investing in software tools and programs to enhance their productivity, streamline business operations, and ensure seamless communication. Therefore, the need to understand the countless opportunities this field can provide will be a major career for software developers. However, to add more credibility to the profession, software engineer certifications are needed that will help you get skilled, grow your knowledge, attain a higher salary, and advance your career.

In today’s exclusive AITech Park, we will explore the top five best software engineering certifications of 2024 that software developers can pursue to gain knowledge about the current trends in software development and also brush up their skills.

Amazon Web Services Certified Developer Associate

The first software engineering certification course on our list is from Amazon Web Services (AWS). The AWS Certified Developer Associate (AWS CDA) certification is used to teach software engineers how to create and deploy cloud-based web apps. Candidates who enroll in this program are required to know how to write applications using an API, AWS, command-line interface (CLI), and software development kits (SDK). The software engineers need to have at least two years of experience working with apps built on AWS before they take this course.

Certified Software Development Professional (CSDP)

The CSDP offered by the famous IEEE Computer Society focuses on upskilling experienced software developers with new technologies. The course validates a candidate’s proficiency in software engineering principles and practices that surround the entire software development lifecycle. Through this course, candidates need to display their knowledge of software requirements, configuration management, engineering management, engineering processes, and tools. The CSDP aims for professionals with a minimum of two years of experience and a postgraduate degree to get this certification.

Microsoft Certified: Azure Solutions Architect Expert (ASAE)

The ASAE certification validates software engineers’s expertise in designing, testing, and building cloud applications and services for the Microsoft Azure website. This course is customized for candidates with at least one year of experience as a software engineer, as this certification requires expertness in Azure SDKs, data storage options, data connections, APIs, app authentication and authorization, debugging, performance tuning, and monitoring.

Choosing the right certification course as a software developer is a strategic step that can signify enhancing your skills and market values. Therefore, before selecting any certification course, you need to think about a professional development plan that will guide you in the right direction.

To Know More, Read Full Article @ https://ai-techpark.com/top-5-software-engineering-certification-programs-of-2024/ 

Related Articles -

Future of QA Engineering

Top 5 Data Science Certifications

Trending Category - Clinical Intelligence/Clinical Efficiency

2023 was a terrific year in the IT industry, but 2024 is set to bring some exciting and groundbreaking developments that will help IT professionals and data scientists develop innovative software and tools to strive in the competitive landscape.

The most recent technological advancement in the data landscape is quite commendable. In 2024, IT enterprises will be heavily impacted, as data is the new oil that can transform any business and reshape the traditional process of analyzing, visualizing, and making data-driven decisions.

As IT enterprises grapple with the data deluge, they often find themselves at an intersection of technological innovation, ethical considerations, and the need for actionable solutions.

In today’s exclusive AI Tech Park article, we will focus on gearing up IT professionals and data scientists to understand the data trends they can expect in 2024.

The Era of the Data Renaissance

The phrase “data is the new oil” was stated in 2006 by British data scientist Clive Humby. The one big difference between data and oil is that oil is a nonrenewable energy, and data can be renewed and reused in an infinite number of ways.

Three decades ago, one of the main challenges that IT enterprises faced was the scarcity of data. However, with time, the main challenge for most IT businesses was having a plethora of data.

With such a volume of data, enterprises struggle with how to use the data, where to implement it, when they need it, and most importantly, how to store it. The traditional database management systems (DMS) failed to tackle the new data sets, which made data professionals realize the importance of cloud storage, which is efficient in handling numerous types of data and quite cost-efficient compared to DMS.

As we stand at the crossroads of a data renaissance, the year 2024 heralds an important role in the data analytic landscape, where data analytics is no longer a tool for data-driven decision-making but a driving force to push greater efficiency, innovation, real-time data insights, responsible AI, reinforce security, and more.

However, IT professionals and data scientists need to address the challenges and considerations of imposing data privacy, skill development, and ethical dilemmas to stay compliant with this evolving regulatory landscape.

Data Democratization

Data democratization has been a growing trend for the past few years, but the increased usage of AI and machine learning (ML) tools has rekindled a new horizon for this trend. With data democratization, every employee in an IT organization will have access to the data to make data-driven decisions for a seamless business process. However, to get full access to data, IT leaders need to provide in-house training on data literacy to familiarize them with the principles and techniques of working with data.

To Know More, Read Full Article @ https://ai-techpark.com/top-4-data-trends-it-professionals-need-in-2024/ 

Read Related Articles:

Blockchain, AI, and Quantum Computing

Ethics in the Era of Generative AI