Autore: martechcubejohn

The intersection of artificial intelligence (AI) and digital advertising to create truly engaging experiences across global audiences and cultures is reaching an inflection point. Companies everywhere are leveraging powerful trends in AI, machine learning and apps for performance marketing.

Today’s AI and machine learning technologies are allowing apps to understand speech, images, and user behavior more naturally. As a result, apps with AI capabilities are smarter and more helpful, and companies are using these technologies to create tailored experiences for customers, regardless of language or background. AI is leveling the playing field by making advanced data tools accessible to anyone, not just data scientists.

Kochava has incorporated AI and machine learning across our diverse solutions portfolio for years, such as within our advanced attribution and fraud prevention products. We have also adopted advanced technologies, like large language models (LLMs) to develop new tools.

Many organizations are instituting internal restructuring with a focus on enhancing the developer experience. The aim is to leverage the full potential of AI for smart applications, providing universal access to advanced tech tools, while adapting to changes in app store policies. Engineering teams are spearheading the development of self-service platforms managed by product teams. The primary objective is to optimize developers’ workflows, speeding up the delivery of business value, and reducing stress. These changes improve the developer experience which can help companies retain top talent.

From an overall organizational structure perspective, in pursuit of a more efficient and effective approach, Kochava is focused on enhancing developer experiences, leveraging AI for intelligent applications, democratizing access to advanced technologies, and adapting to regulatory changes in app marketplaces.

Reimagining the Future

The software and applications industry is one that evolves particularly quickly. The app market now represents a multibillion-dollar sector exhibiting no signs of slowing. This rapid growth and constant change presents abundant opportunities for developers to build innovative new applications while pursuing their passions. For app developers, monitoring trends provides inspiration for maintaining engaging, innovative user experiences.

As AI integration increases, standards will develop to ensure AI can automatically interface between applications. It will utilize transactional and external data to provide insights. Applications will shift from set features to AI-driven predictions and recommendations tailored for each user. This advances data-driven decision making and transforms the experience for customers, users, teams, and developers.

To Know More, Read Full Article @ https://ai-techpark.com/generative-ai-marketing-trends/ 

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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/ 

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Sean, can you introduce yourself to our audience and share the inspiration behind founding Blink?

I’m Sean and I am the co-founder and CEO of Blink, the super-app for frontline workers. Blink brings all the benefits of digital connection to the frontline worker – bringing everyone and everything together, closing the connection gap that exists between desk-based and frontline colleagues. Our app gives employees a single entry point to everything they need to support their working life – communications, productivity tools, people and processes, all through one app on their phones.

Blink was born out of challenges I experienced at a former company of mine. A large proportion of our workforce was remote and met only occasionally for quick company updates. I noticed that so many team members were struggling to feel connected to each other and their team leaders, and the entire culture suffered as a result.

I made it my aim to change that experience and, after listening to what my colleagues said would genuinely have the most impact, set about creating technology that would deliver meaningful, positive change to workers’ roles.

This turned out to be the very first iteration of Blink. And while there were a few bumps in the road getting our tech to hit the mark, we eventually nailed our proposition and target market, and quickly won our first major client, launching to 24,000 workers at Stagecoach, in 2019.

Blink extends the digital revolution to every worker – so everyone feels connected, but also allows companies to digitise their entire end-to-end operations – lowering costs and increasing staff satisfaction. It’s true win-win.

Today, we serve more than 300 leading frontline-first companies like Domino’s, Tonkotsu, Saint Luke’s Hospital, Elara Caring and Falck Ambulance.

What benefits do companies gain from utilizing Blink’s product?

Frontline workers face numerous different challenges on a daily basis: isolation, working in silos, a lack of connectivity and collaboration, no direct channel of communication with their superiors, limited access to flexible working, no meaningful way to share feedback or ask for support, outdated reporting and forms – the list goes on. Blink puts all this – and a lot more – in the palm of their hands. Taking away huge amounts of friction, frustration and cost by simplifying how people work.

For example, by offering single sign-on, mobile-enabled access to all critical tech applications, we greatly improve accessibility and uptake. We allow employers to build easy-to-access content hubs so workers can access important information and resources whenever they need it. We replace paper trails with simple and intuitive mobile forms, helping employees improve efficiency, and we eradicate convoluted IT support tickets so that time-poor workers are not put off asking for assistance. Secure mobile-first chats facilitate better communication, while mandatory reads can ensure employees don’t inadvertently delete important updates.

All of these tools – which are available through our super-app – help ensure frontline employees’ needs are being met and that they are valued and respected by their employers, something which can have a transformative impact on company culture, leading to greater productivity, higher retention rates and overall business growth.

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

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In today’s world, where cyber attacks are becoming more sophisticated day by day, cybersecurity is becoming an essential aspect of running a business. Looking at the scenario, organizations hire cybersecurity professionals to upgrade their business security. They will look for individuals who are cybersecurity certified, along with having knowledge and experience on the subject, to perform their tasks well.

Therefore, to climb the career ladder and carve out a niche in cybersecurity, you need to find the right certification course that can make a difference in this competitive market. For a better understanding, AI Tech Park brings you the top five most popular cybersecurity certifications and courses for 2024.

CompTIA Security+

The CompTIA Security+ is a globally recognized cybersecurity certificate that measures and assesses candidates to level up their skills and validate their qualifications for cybersecurity professionals. The course allows IT professionals to understand topics on cyber attacks, incident response, architecture and design, governance and compliance, risk management, and cryptography. The exam structure is well-designed and updated annually according to the latest trends and techniques that will come in handy to solve complex issues.

Offensive Security Certified Professional (OSCP)

The OSCP program is specially designed for application security analysts, penetration testers, and ethical hackers who are directly dealing with the domain of penetration testing. This course will help you acquire in-depth knowledge of ethical hacking notions and expertise in compromising a series of target machines using multiple exploration steps. To apply for the OSCP program, candidates need to be familiar with offensive security and different operating systems; they must also be well-versed in Bash scripting, Python, and Linux.

Certified Information Systems Auditor (CISA)

The CISA was developed by ISACA, a well-respected membership organization committed to the advancement of digital trust. The course is designed for IT professionals with at least five years of professional experience in information systems auditing, control, or security work. The CISSP covers a broader scope of IT security that will help IT professionals show their expertise in evaluating security vulnerabilities, reporting on compliance, implementing and designing controls, etc.

In today’s interconnected world, the internet connects everything; therefore, businesses need to safeguard themselves from cyber attacks such as hacking, phishing, and remote access to devices. Therefore, cybersecurity certifications can help cyber experts understand the challenges and gain significant knowledge and skills in the field of cybersecurity.

To Know More, Read Full Article @ https://ai-techpark.com/top-5-popular-cybersecurity-certifications-2024/ 

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In an era where technology seamlessly integrates into every facet of our lives, the vision of the future of transportation, once dreamt in the mid-20th century, is becoming a reality. Landscapes are evolving, with the promise of enhanced connectivity, ease of travel, and the development of sprawling metropolises aimed at fostering a more harmonised society. This transformative period in transportation is not just about sleek designs, improved fuel efficiency, or advanced safety systems; it is about the underlying digital revolution that has turned vehicles from mechanical wonders into sophisticated, software-driven entities.

The marvel of modern vehicles extends far beyond their aesthetic appeal or physical innovations.  Today, vehicles are commonly referred to as data centres on wheels, equipped with digital interfaces that constantly communicate with manufacturers, receive over-the-air (OTA) software updates, and integrate advanced safety features, like LIDAR systems, to navigate complex environments. The once direct mechanical connection between the accelerator and the engine has been replaced by a digital command centre, where a simple press of a pedal is translated into a series of computations that ensure optimal performance and safety.

However, this digital evolution brings with it a looming shadow of vulnerability. The very systems that make modern vehicles a marvel of technology also exposes them to a myriad of cybersecurity threats. In recent years, the automotive industry has witnessed a concerning trend: an increase in cyber-attacks targeting not just the vehicles but the entire ecosystem surrounding their development, production, and maintenance. The 2021 attack on KIA Motors by the DopplePaymer group is a stark reminder of the potential consequences of inadequate cybersecurity measures. While no direct harm to drivers was reported, the incident underscored the risks of operational downtime, revenue loss, and eroding customer trust.

The question then becomes, what lies ahead? The potential targets for cyber-attacks are not limited to consumer vehicles but extend to government and municipal mass transit systems. The stakes are exponentially higher, with the threat landscape encompassing espionage, state-sponsored activities, and the emerging menace of AI-driven cyber threats. The complexity of modern vehicles, often containing upwards of 100 endpoints, including infotainment systems that store personal data, demands a cybersecurity strategy that transcends traditional approaches and international borders.

Protecting this data requires a proactive approach, one that involves hunting for threats, deceiving potential attackers, and adopting a mindset that places vehicle cybersecurity on par with data security across the rest of the organisation. It’s about creating a resilient shield around the digital and physical aspects of transportation, ensuring that innovation continues to drive us forward, not backward into an age of vulnerability.

To Know More, Read Full Article @ https://ai-techpark.com/future-ready-transportation-security/ 

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With the increase in remote working, the technological landscape is gradually changing, bringing great importance to data and cybersecurity training for data professionals. Responding to this shift requires training solutions and courses that can be tailored according to their compliance priorities and accommodate different levels of expertise, knowledge, and exposure to data

The solution to this problem is data privacy certifications, which serve as an essential tool for professionals who seek to gain more knowledge on data privacy or understand the new privacy standards and requirements for securing organizational data.

Therefore, with this increasing effect of digitization, AI Tech Park brings you an exclusive article that will help you understand the top five trending certification courses that are crucial in this digital world.

Certified Information Privacy Professional (CIPP)

The International Association of Privacy Professionals (IAPP) offers the CIPP certification, which provides global awareness of the top privacy laws and practices to steer the complex landscape of privacy regulations. The program is recommended for professionals working as data protection and security experts who manage business and client information and work closely in related fields such as compliance, legal obligations, and data governance.

Certified Data Privacy Solutions Engineer (CDPSE)

The Information Systems Audit and Control Association (ISACA) introduced the CDPSE course for applicants with at least five years of professional experience in at least two domains specified in the exam content outline. The CDPSE  course is designed for data professionals, compliance officers, and software engineers and teaches them about data privacy in technology development, product creation, or process design.

PECB Certified Data Protection Officer (CDPO)

The Professional Evaluation and Certification Board (PECB) launched the CDPO course for experienced Data Protection Officers to gain the necessary knowledge, skills, and competencies to implement GDPR compliance programs. To earn the PECB Data Protection Officer certification, candidates must clear an exam, gain a minimum of five years of professional experience as a data professional, complete 300 hours of data protection by the institutes, and also have a minimum of five years of professional experience.

With technological advancements in the business world, data breaches have become a common trick for cyber attackers, and to highlight this as a challenge, privacy regulations have become stricter. This announces the role of data professionals who can work as guides and revolutionize the data privacy landscape. However, to be a trusted data professional and leader, you need to choose the right certification courses from the above list that will not only validate your expertise and knowledge on the subject but also establish an authoritative approach in the field of data privacy, security, and protection.

To Know More, Read Full Article @ https://ai-techpark.com/5-best-data-privacy-certification-programs/ 

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Colin, could you elaborate on the concerns you’ve raised regarding AI’s impact on elections?

Answer: When it comes to AI and its impact/role in elections, the challenge is misinformation, generated by deep fakes (e.g. someone’s image and voice being used to propagate false opinions and incorrect information), bot accounts on social media propagating incorrect and/or misleading information and people’s susceptibility these types of behaviors. In practical terms this means that we all need to be more skeptical of what we see, read, and encounter online and be able to verify what we see and hear online.

How does AI contribute to the dissemination of misinformation and disinformation during electoral processes, in your view?

Answer: AI contributes to the dissemination of misinformation and disinformation by enabling the creation and spread of convincing fake content, such as deepfakes, and by personalizing and optimizing the delivery of content on social media platforms. These capabilities can be exploited to create false narratives, impersonate public figures, and undermine trust in the electoral process.

Can you provide examples of how AI technologies, such as deepfakes and social media manipulation, undermine the integrity of elections?

Deepfakes: AI-generated videos or audio recordings that convincingly depict real people saying or doing things they never did, which can be used to create false impressions of candidates or mislead about their positions.

Social Media Manipulation: The use of bots and algorithms to amplify divisive content, spread falsehoods, and manipulate trending topics to influence political discourse.

Personalized ads:The creation and use of political ads designed to mislead, convince others of false information, and/or get them to take actions that may be against their best interests and benefit someone else unbeknownst to the viewer of the ad.

What specific measures do you recommend to combat the threat of AI interference in elections?

Answer: I do not pretend or purport to have all the answers or even any answers, per se. What I can suggest is that measures including developing and enforcing strict regulations on political advertising and the use of personal data for political purposes, implementing robust and verifiable fact-checking and content verification mechanisms to identify and label or remove false information, and encouraging the development of AI systems that prioritize transparency, accountability, and the detection of manipulative content may be useful.

In your opinion, how can transparency and accountability in AI algorithms help prevent their misuse in the electoral context?

Answer: Enhancing transparency involves making the workings of AI algorithms more understandable and accessible to regulators and the public, including disclosing when and how AI is used in content curation and distribution. Accountability measures include holding platforms and creators legally and ethically responsible for the content disseminated by their AI systems so as to ensure that there are mechanisms to challenge and rectify misleading or harmful outputs.

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

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In this demanding work environment, employee mental health is gradually becoming an important subject of focus for organizations. Therefore, it is essential to create a positive environment beyond personal satisfaction, which directly influences overall productivity, success, and engagement in the workplace.

Looking at the current scenario, addressing mental health assistance for employees is not merely an ethical duty for employers but also a fundamental factor in designing a happy and productive team. This is where AI-powered answers all your questions by playing the virtual assistant role regarding mental health.

In today’s exclusive AI Tech Park article, we will show how AI can be an influential supporter in promoting a healthier and more supportive work environment.

Role of AI in the Workplace for Employees Mental Wellbeing

According to a government-backed Labour Force Survey, it was observed that the total number of issues of work-related stress, depression, or anxiety was registered by around 602,000 employees, resulting in a loss of 12.8 million working days. This disengagement among employees resulted in companies losing more than $1 trillion in revenue each year.

Therefore, with AI, employers can open new paths for improving mental health and well-being in the workplace. When used wisely, AI offers valuable tools and aids to sustain employees by controlling stress and anxiety and preserving a positive work-life balance.

For instance, the new-age AI-powered assistants can be used to communicate with employees, offering support and guidance whenever needed, as these can detect signs of mental health distress and proactively reach out to assist those dealing with mental block or depression.

There is no doubt that AI in the workplace is here to stay, and if implemented adequately and with a positive intention, it could play a huge role in employees’ mental health. In the coming years, there might be obstacles related to privacy concerns, but AI will also ensure that workers are comfortable at their workplace and will accept various monitoring levels. Therefore, for a seamless AI interaction, it is important to adhere to workplace protocols to ensure that this technology is safe and relevant for employees with a proper understanding of its dos and don’ts.

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You may have seen the acronym ‘RAG’ floating around in relation to artificial intelligence. What the heck is RAG and why is everyone talking about it?

RAG stands for Retrieval-Augmented Generation and combines a generative model with a retrieval system to enhance or augment (as the name suggests) AI responses with more accurate and current data. So this means there are two portions to it: the generative model, which generates human-like text, and the retrieval system, which supplements the generative model’s output.

As with any emerging technology, before implementing it within your organization, it’s wise to understand it, as well as its potential benefits, and truly consider why you should – or should not – use it. Let’s explore what RAG is and the impact it can have on your business.

The RAG Process

There are four components to the process flow of a RAG process: query processing, retrieval, integration, and generation. These components are what allow you to truly specialize a Large Language Model (LLM) with a knowledge base of your choosing..

Retrieval: The retriever is a component that searches and selects relevant information from a large database or knowledge base based on the input query.

Knowledge Base: This is the collection of data or information sources that the retriever accesses to find content relevant to the query.

Re-ranker/Selector: The re-ranker or selector evaluates and chooses the best output from the generated responses, ensuring relevance and quality.

Generation: This component integrates the retrieved information into the language generation process, synthesizing it with the input to produce a coherent response.

Now that we’ve outlined the process RAG uses to produce more effective AI responses, let’s examine why RAG is more effective than other models.

Benefits of RAG

There are numerous benefits of implementing RAG, but the major benefits include preventing hallucination, control over the knowledge base used and flexibility in updating information like price changes or product stock.

Preventing Hallucination: RAG reduces the occurrence of generating false or nonsensical information by grounding responses in verified data, enhancing the accuracy and reliability of AI-generated content, crucial for areas where precision is vital.

Control Over the Models Knowledge: RAG allows precise control over the information sources, enabling organizations to tailor content generation to their specific standards and requirements, thus ensuring consistency and alignment with organizational values.

Flexibility on Updating Information: With RAG’s ability to process real-time data, it excels in applications requiring current information, such as AI sales agents and market analysis, ensuring that businesses can offer accurate, timely data to their clients.

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In the last few years, we have witnessed that the digital landscape’s boundary between reality and fiction has become increasingly blurred thanks to the advent of deepfake technology. While the intention of developing deep fake technology was purely for entertainment and other legitimate applications, in recent times it has become infamous for spreading misinformation. This technology can also manipulate the cybersecurity domain by confusing or influencing users, exploiting their trust, and bypassing traditional security measures.

Numerous cybersecurity experts have raised questions about deep fake technology playing a multifaceted role and risking national security and prohibited information sources.

Today’s exclusive AITech Park article will explore the nature, risks, real-life impacts, and measures needed to counter these advanced threats.

Decoding DeepFakes

At its core, deep fakes are a part of artificial intelligence (AI) and machine learning (ML) that leverages sophisticated AI algorithms to superimpose or replace elements within audio, video, or images and develop hyper-realistic simulations of individuals saying or doing things they never did.

As the availability of personal information rises online, cybercriminals are investing in technology to exploit deep fake technology, especially with the introduction of social engineering techniques for phishing attacks, as it can mimic the voices and mannerisms of trusted individuals. Cyber attackers orchestrate complicated schemes to mislead unsuspecting targets into revealing sensitive information or transferring funds.

The Progression of Deep Fakes

Deepfakes have opened a new portal for cyber attackers, ranging from suave spear-phishing to the manipulation of biometric security systems. Spear phishing is a common form of deep fake phishing that develops near-perfect impersonation of trusted figures, making a gigantic leap by replicating writing style, tonality, or mincing exact email design. This realistic initiation of visuals and voice can tend to pose an alarming threat to organizations and stakeholders, raising serious concerns about privacy, security, and the integrity of digital content.

For instance, there are cases registered where cyber attackers impersonate business associates, vendors, suppliers, business partners, or C-level executives and make payment requests, demand bank information, or ask for invoices and billing addresses to be updated to steal sensitive data or money. Another example is business email compromise (BEC), which is a costlier form of cybercrime, as these scams are possibly conducted for financially damaging organizations or individuals.

In this era of digitization, we can say that we are navigating the uncharted territory of generative AI (GenAI), where we need to understand the importance of collaboration, stay vigilant, and take measures to combat the threat of deepfakes. The question here shouldn’t be whether we can completely eradicate the threat but how we acclimate our strategies, systems, and policies to mitigate deepfake threats effectively.

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