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Tag: Machine Learning

  • Experian report highlights Generative AI’s growing role in fraud attacks

    Experian report highlights Generative AI’s growing role in fraud attacks

    MUMBAI: Experian, has released its latest research, offering insights into how Generative AI (GenAI) is reshaping the fraud landscape. Conducted by Forrester Consulting, the study surveyed 449 senior fraud protection professionals across multiple countries, including India, uncovering a surge in fraud losses due to identity theft and the critical need for AI-driven security measures.

    The report highlights a shift from individual fraudsters to organised crime syndicates, with GenAI accelerating this transformation. In India, 85 per cent of businesses agree that GenAI has permanently altered the fraud landscape, making attacks more complex. The rapid industrialisation of fraud enables criminals to mass-produce deepfakes, synthetic identities, and large-scale scams. Alarmingly, 50 per cent of firms struggle to detect GenAI-driven fraud or quantify its financial impact. To counter this, businesses must implement AI-powered fraud prevention tools, adopt integrated security measures, and enhance fraud orchestration strategies to bolster detection and reduce costs.

    As fraud tactics evolve, businesses are recognising the need for external collaboration and advanced fraud prevention technologies. In India, 77 per cent of fraud decision-makers stress that partnerships with external organisations are vital for tackling fraud effectively. Additionally, 61 per cent support data-sharing consortia as an effective method for tracking emerging fraud trends. Encouragingly, 74 per cent of Indian firms report a positive return on investment from participating in such initiatives, underlining the benefits of collective action.

    The study underscores the importance of integrating diverse data sources into supervised and unsupervised Machine Learning (ML) models to enhance fraud detection. However, 48 per cent of Indian firms struggle with ML implementation due to a lack of training data, while 60 per cent cite poor data quality as a barrier. Developing in-house ML models is complex, making customisable, off-the-shelf ML solutions a faster and more effective alternative.

    Experian India country managing director Manish Jain commented, “At Experian, we are committed to staying ahead of emerging threats by leveraging advanced technology, data analytics, and industry consortia. Our ML-based tools, such as the Mule Risk Indicator, integrate traditional and non-traditional data points to help financial institutions identify and mitigate fraud. By promoting these advanced solutions, we empower businesses to navigate an increasingly complex fraud landscape while ensuring data security.”

    Experian EMEA & APAC chief operating officer Shail Deep, added, “The integration of ML-driven fraud prevention is no longer optional our research shows that 85 per cent of fraud experts believe GenAI has fundamentally altered the threat landscape, with over 52 per cent reporting increased fraud losses in the past year. Businesses must act now by adopting flexible, cutting-edge fraud prevention tools. At Experian, we remain focused on innovation, ensuring our technology continues to strengthen detection capabilities and create a safer digital environment for clients and consumers alike.”

     

  • Anju Chaudhary joins Innominds as VP – artificial intelligence business

    Anju Chaudhary joins Innominds as VP – artificial intelligence business

    MUMBAI: She is one lady who can’t get enough of all things tech. Anju Chaudhary – a B. Tech in computer science from Kurukshetra university – spent the early part of her career in Dell Computers, before moving on to a banking job at Stanchart and then onto GE Capital. She then tried her hand at a human capital opportunities website as a founding member for three years before moving into cloud platform C-Zentrix Cloud as vice-president cloud in 2016.

    Whilst she was there, she had to define the strategy for the global partner ecosystem, build out a cross-functional team, create critical relationships with C-level partner executives, and showcase the company’s  innovation and technology solutions to potential customers.

    Then she moved on to Builder.ai ( previously known as Engineer.ai )  arguably world’s first AI powered platform trying to solve the  massive issue of idea to code. The solution eould build, run and scale almost anything that could be thought of. Her mandate as head of APAC and Mena was to build business as well as manage clients.

    The latest move she has made is once again in the area of artificial intelligence. She has joined Innominds as vice-president of AI business, taking charge of markets, leveraging the research and development company into developing cutting-edge capabilities in artificial intelligence, machine learning, and digital transformation.

    Said she: “Our focus at Innominds  spans critical domains like hitech, healthcare and life sciences, automotive, fintech and manufacturing, where we’re pioneering generative AI, intelligent automation, and cognitive computing technologies.  With a commitment to bridging technological innovation and business needs, I’m looking forward to expanding our AI capabilities globally and helping organisations unlock unprecedented value through intelligent digital solutions.” 

  • Google developing AI to control computers, aims for seamless automation

    Google developing AI to control computers, aims for seamless automation

    Mumbai: In a bold leap towards the future of technology, Google is developing an artificial intelligence system capable of fully taking over and operating computers. The tech giant’s latest AI initiative aims to push the boundaries of automation by allowing AI to perform tasks traditionally handled by humans, such as managing applications, executing commands, and even troubleshooting issues. This development was first reported by ‘The Information’ and has since stirred a wave of anticipation and concern within the tech community.

    The project, dubbed ‘Project Tailwind’, seeks to automate computer operations, potentially transforming the way people interact with technology. Google’s approach involves training the AI to execute tasks across various software applications, thereby reducing the need for human intervention. The AI system could streamline tasks ranging from data entry and document formatting to more complex activities like coding and data analysis.

    Google’s ambitious project could redefine automation, particularly in business environments where repetitive tasks dominate. With AI capable of running computers autonomously, organisations might see increased productivity and cost savings. Additionally, this technology could pave the way for new AI-driven solutions across various industries, from customer service to software development.

    However, the initiative has also raised questions about privacy and security. Experts caution that an AI with the ability to control computers may present risks if not properly regulated. There is a growing need to establish guidelines on how such AI systems will be deployed and monitored to ensure they operate within ethical boundaries.

    As AI continues to evolve, its impact on the workforce is a topic of debate. With Project Tailwind, Google could be ushering in a new era where AI becomes an integral part of daily operations, potentially reshaping the future of work. The development is expected to bring significant changes in the way businesses and individuals approach routine tasks, driving greater efficiency.

  • Zee hires Shiva Chinnasamy as chief technology & product officer

    Zee hires Shiva Chinnasamy as chief technology & product officer

    Mumbai: Zee Entertainment has appointed Shiva Chinnasamy as its chief technology and product officer.

    In this new role, Shiva will be based at the company’s Technology & Innovation
    Centre (TIC) in Bengaluru, and will report into  Amit Goenka who holds the position of president – digital business, international linear business, enterprise technology and broadcast
    operations & engineering.

    Shiva will be responsible for the efforts being undertaken at the TIC across data, artificial intelligence (AI) & machine learning (ML) to enhance the consumer experience across platforms and further support Zee’s growth plans across its core business segments.

    “As the company moves forward in line with its strategic objectives to drive robust growth, certain action-oriented steps are being  implemented to enhance the capabilities of the businesses,” said Goenka. “Technology plays a crucial role in enhancing the overall customer journey across all our platforms, and our Technology and Innovation Centre is steadily working towards gaining a deeper understanding of our vast audience base in order to deliver successful business outcomes. Shiva’s invaluable industry expertise and experience in scaling businesses with a deep understanding of technology will be instrumental in building the necessary capabilities for the company in its next phase of growth. I look forward to working closely with Shiva and the team at TIC to complement Zee’s long-term growth trajectory”

    “I am honoured to join the journey of Zee at a pivotal intersection between content and technology, as the company aims to fortify its capabilities in the realm of content distribution and monetisation,” disclosed Chinnasamy. “I am excited to get started and work with the teams to build innovative solutions for our businesses and unlock deeper consumer insights that help accelerate innovation driven growth opportunities for Zee.”

    “The OTT and media segments are ripe for tech led disruption. And I couldn’t think of a more exciting place to be at now than at Zee, which has a track record of innovation in Indian media space.  And I think Zee TIC has one of the coolest offices in Bengaluru. And we are cooking some of the coolest apps out there,” he later posted on LinkedIn.

    Chinnasamy has over 20 years of work experience across technology, data science and analytics to provide large scale, long-term solutions in close collaboration with stakeholders and business partners. His expertise spans across ad tech, eCommerce, omni channel retail, B2C fintech, B2B SaaS, platform engineering and mobile engineering.

    He has been instrumental in building multiple impactful products in lead roles through innovative ideas and tight execution. Previously, he was associated with Rippling as the India Site Lead, responsible for building a high performance, data driven collaborative culture. During his career, Shiva has also been associated with global companies including Google, Tesco, Target, Amazon and Verizon Labs amongst others.

  • “Bad ads are spam but good ads are content”: Moloco India’s Siddharth Jhawar

    “Bad ads are spam but good ads are content”: Moloco India’s Siddharth Jhawar

    Mumbai: Ad personalisation isn’t just about tailored ads, it’s about transforming them into engaging content for enhanced user experience. Moloco, a multinational adtech company pioneering machine learning, is at the forefront of this revolution. In a strategic partnership with Viacom18 and JioCinema, Moloco’s advanced capabilities are reshaping the landscape of Indian advertising.

    From combating ad fraud to leveraging 5G for programmatic innovation, Moloco is driving tangible results for advertisers while prioritising user privacy. With success stories like Zupee’s 5x growth and significant user jumps for Rummytime, Moloco’s vision for India extends beyond market growth—it’s about fostering innovation and empowering businesses to thrive in a dynamic digital ecosystem.

    Indiantelevision.com caught up with Moloco India general manager Siddharth Jhawar to talk about growing concerns about ad fraud and privacy in the Indian market, the future of programmatic advertising in India, and much more…

    Edited Excerpts:

    On Moloco addressing growing concerns about ad fraud and privacy in the Indian market

    We believe that complete transparency, constant vigilance, & working with trusted partners are critical to ensuring that advertisers and customers are protected from fraud and privacy concerns.

    Moloco ads reports advertising spends to the most granular level, which empowers advertisers to pressure-test the quality of their traffic for any suspicious activity. For instance, we capture timestamp data and then analyze whether the time taken between viewing an ad, clicking on it, installing an app, and making a purchase are coherent with expected customer behaviour. It certainly helps if an advertiser works only with reputed channels, because it minimizes the risk of fraudulent activity.

    First-party data is critical for a machine learning engine to become intelligent in identifying high-value users of an advertiser. Hence it becomes even more important to adopt the highest standards of safety and privacy to help companies grow while ensuring their customers’ privacy.

    On Moloco envisioning the future of programmatic advertising in India, with the advent of 5G

    Moloco ads processes seven million requests per second. We take 14 milliseconds to make a deep neural network prediction. Building this kind of infrastructure has taken us more than a decade, and it helps that network speeds are improving. The advent of 5G will support the nature of innovation that we do in terms of speed and efficiency of computational infrastructure.

    On Moloco’s approach to ad personalisation and its impact on user experience

    Bad ads are spam but good ads are content. If an ad can be hyper-personalised to a user and their context, it improves the customer experience and also gives better returns to an advertiser.

    The trends we see today are that customers want great but inexpensive service without being bombarded with ads, advertisers want maximum returns on every rupee spent, and platforms want to grow fast while also being profitable. Personalized ads address these needs by enhancing the customer experience, delivering measurable outcomes to advertisers, and boosting advertising revenue for platforms. But this is easier said than done. There are almost five billion internet users in the world today. We can not expect any two customers to be exactly the same. But when the scale is massive, 1-1 targeting becomes computationally tough. This is when companies need world-class machine learning systems to support them. Moloco uses machine learning that works on an advertiser’s first-party data and helps them show hyper-personalised ads to users while also optimising bid prices and probabilities in real-time – that is tough, but when done right, can be valuable to both advertisers and customers.

    On the strategies that Moloco employs to effectively integrate in-game and mobile advertising for maximum engagement

    Showing relevant and hyper-personalised ads to a user on a gaming app improves their engagement levels on the app. India’s gaming industry makes about one-fifth of its revenue from in-app advertising, and this trend is expected to grow further.

    On Moloco’s approach to operational machine learning and its significance in optimising ad campaigns

    Operational machine learning is special in four ways – it is autonomous, it involves real-time predictions, it can work at massive scale, and it is highly adaptable to the context. While machine learning and artificial intelligence have become household terms now, building an operational machine learning system at scale is a problem that very few companies in the world have effectively cracked.

    We use this operational machine learning system to train on an app’s first party data, identify high-value users, and efficiently bid for them on the open internet – this helps the app acquire more high-value users which can grow their revenue and profitability.

    On Moloco’s partnership with Viacom18 and JioCinema exemplifying its commitment to revolutionising the ecosystem in India

    Viacom18 is building one of the largest streaming platforms in the world and we are proud to be their ad-tech partners. The platform has immense scale and saw 32 million concurrent users during IPL 2023 – we use Moloco’s machine learning and ad-serving capabilities to serve relevant ads at astronomical scale on JioCinema.

    On any success stories or case studies where Moloco’s solutions have driven tangible results for advertisers in India

    Within a matter of 18 months, we have created a measurable impact on several industries and digital platforms in India. Moloco ads works with nine of the ten largest gaming apps in India and we have driven high-quality user growth for them. Our partner Zupee attained 5x growth and 3x return on ads spend targets using our ML engine. Rummytime from the Gameskraft group saw a significant jump in their high-value users. We also used our monetisation solution for CityMall to help them build an in-house advertising business and increase ROAS by 900 per cent. There are over 40 apps who have benefited from Moloco’s machine learning in India.

    On Moloco’s plan to further expand its footprint and partnerships in the Indian market moving forward

    India is a unique region for Moloco. Not only is the India market a small yet fast-growing region, India is also emerging as an innovation hub of Moloco. The entrepreneurial activity and scale in India make it an exciting place to develop machine learning products. For this reason, we are also building a global engineering centre in Bangalore, so that we can build products in India that can be scaled to the rest of the world.

  • India excels in Cloud, AI, and ML: 85 per cent of Indian businesses use cloud providers for analytics: Experian Study

    India excels in Cloud, AI, and ML: 85 per cent of Indian businesses use cloud providers for analytics: Experian Study

    Mumbai: India demonstrates remarkable resilience in the face of a challenging global landscape, according to the World Bank. Robust domestic demand, public infrastructure investments and the strengthening of the financial sector collectively contribute to India’s performance. As a testament to this resilience, a staggering 77 per cent of business leaders surveyed maintain a positive outlook for the upcoming year. These findings emerge from a comprehensive study conducted by forrester consulting commissioned by Experian, a global information services leader. The study also explores the profound impact of AI on analytics, risk assessment and customer experience. Notably, India demonstrates impressive AI and Machine Learning (ML), adoption rates, reaching 49 per cent in customer service and 40 per cent in identity verification.

    The study highlights India’s leadership in the EMEA and APAC regions, with 85 per cent of surveyed Indian businesses using external cloud providers for analytics. India’s adoption outpaces countries like Germany (66 per cent), New Zealand (per cent), and Spain (58 per cent), solidifying its position as a front-runner in cloud, AI, and ML utilisation.

    Role of AI in mitigating top risks:

    The report delves into the transformative potential of AI, the biggest risk priorities, and underscores how AI plays a pivotal role in fortifying resilience. Data privacy (59 per cent) and cybersecurity (53 per cent) emerge as the top risk concerns for the upcoming year, followed by ESG risk (47 per cent) and credit risk (41 per cent).

    Effectively mitigating these risks depends on improving the predictiveness of models and unlocking value from a wide variety of data sources. In this regard AI, particularly ML stands out as an instrumental tool with immense potential.

    Data integration and cloud investments drive AI success:

    Achieving AI success requires large volumes of data and the right data infrastructure. Despite an increase in new data sources, the biggest data-related challenge (for 48 per cent of respondents) pertains to the difficulty in effectively sharing data at a large scale while ensuring trust and security. As a result, 86 per cent of business leaders are prioritising investments in new data sources to better understand risk and affordability.

    The research shows that the biggest analytics-related challenge for nearly half of respondents (55 per cent) is the ability to seamlessly connect different data assets in a data warehouse that can adequately support AI/ML use cases. To address this issue, 86 per cent are prioritising investments in cloud technology for seamless data integration with 63 per cent agreeing that externally hosted cloud services are the best way to avoid data silos and aggregate data sources.

    Unlocking AI’s potential: productivity and efficiency enhancements:

    There are multiple ways in which AI can improve productivity, efficiency, and service delivery. Many organisations are actively exploring AI use cases, with a diverse range of possibilities, including enhanced underwriting with ML-based models, proactive and early identification of vulnerable customers, improved fraud prevention and faster customer service. More than half (65 per cent) of those already using AI find that their productivity gains have offset the initial cost – a clear indication of positive ROI from AI adoption.

    Experian managing director Saikrishnan said, “AI is currently leading the way in identifying innovative approaches to unlock the power of data, revolutionising business operations and elevating customer experience. As businesses engage with increasingly intricate decisions, AI plays a pivotal role in optimising the efficiency and effectiveness of business processes. Embracing the enduring role of AI becomes imperative, providing unparalleled insights for precise decision-making, particularly in critical areas such as risk management and fraud prevention. Simultaneously, it ushers in a new era of operational efficiency through automation, ultimately elevating the customer experience to new heights.”

    “AI/ML has increasingly emerged as a pivotal catalyst in combating new fraud challenges, automating credit risk processes, and leverage alternative data. AI is rapidly transitioning from a choice to a necessity, driving improved business performance and fostering inclusive financial growth,” he further added.

    Adding to it, Experian CEO, EMEA & APAC Malin Holmberg said, “While AI is driving innovation and enhancing analytical performance, it is critical to ensure this technology is used in a responsible and ethical way. It is reassuring that 61 per cent of our respondents have a comprehensive AI risk management program in place and are actively addressing unintentional bias through fully transparent and explainable AI. Businesses that embrace this technology will find themselves at an advantage as they unlock new growth opportunities through process efficiency and greater automation,”

  • Zee Digital rebrands as IndiaDotcom Digital; focuses on building a tech-centric organisation

    Zee Digital rebrands as IndiaDotcom Digital; focuses on building a tech-centric organisation

    Mumbai: Zee Digital, one of India’s largest digital entities, has rebranded itself as IndiaDotcom Digital Pvt Ltd (IDPL) with a new logo to redefine a host of “infinite possibilities.” It unveiled the new brand identity and fresh look through a short video on social media, thus symbolising a well-thought-out manifestation of its relentless drive for innovation, excellence, empowerment, and growth.

    The media industry has been evolving with new, innovative technology. To match the increasing demand of its viewers and readers, IDPL looks forward to converting into a technology-centric organisation by investing in high-end technology, encouraging product talent and vibrancy, and boosting the entrepreneurial spirit. IDPL has implemented technologies such as artificial intelligence and machine learning.

    Speaking about the brand rebranding, IDPL CEO Devadas Krishnan said, “The new avatar of IDPL is a step forward towards encouraging innovation and adopting a tech-driven approach as per the market demand of the present day and age. As a brand, we are fast-paced and encourage our employees to upskill and enhance their knowledge through an in-depth understanding of how content is consumed by our viewers and readers. We look forward to attracting the best tech, product, and marketing talent in the industry.”

    Furthermore, keeping in line with Zee Group’s employee-friendly culture, IndiaDotcom Digital offers its employees the option to work onsite, remotely, or in a hybrid setting. IDPL has also successfully initiated employee-friendly practices such as an in-house gym and library, crèch for working parents, and a ‘Well done’ initiative where team members’ efforts are appreciated and rewarded by the company on the spot. This enables a better work-life balance and the well-being of its workforce and encourages a collaborative culture of healthy employee relations.

    IDPL has been aggressive in its hiring and recently added 300+fresh talent. As per the latest FICCI-EY report, the Indian media and entertainment (M&E) industry clocked Rs 1.61 lakh crore in 2021 and is estimated to grow at a CAGR of 11 per cent to Rs 2.32 lakh crore by 2024.

  • GUEST ARTICLE: Artificial intelligence: The key ingredient to boost the growth of the advertising industry

    GUEST ARTICLE: Artificial intelligence: The key ingredient to boost the growth of the advertising industry

    Mumbai: For a layman, the term “artificial intelligence” is usually associated with robots and voice assistant software like Alexa and Siri or Elon Musk’s self-driving cars. Many people don’t think about the scope of AI beyond these concepts. However, the aforementioned use cases of AI are just the tip of the iceberg.

    In reality, the power of AI cannot be summarised in a few words or applications, as an infinite number of AI-enabled tools and interfaces are working behind the scenes to make the lives of consumers and other stakeholders a lot easier.

    This is especially true in the business world. AI has played a pivotal role in putting products and services in front of potential customers through social media or other means, even though it wasn’t widely recognised or understood. An impactful form of marketing, AI-enabled advertisements present themselves before customers only after learning and assessing their online preferences, shopping behaviour, and other necessary inputs.

    And soon, the fast-emerging advertising industry realised that the days of manually asking for customer inputs are behind us, as AI can do this job in the background. This was just the beginning of an AI hurricane that swept the advertising world off its feet. Automation technology evolved, and so did its applications.

    Against this backdrop, we will discuss AI’s role in the advertising industry and its advantages in-depth. Without further ado, let’s dive in!

    The emergence of adtech: A comprehensive overview

    If there’s one industry with a genuine case of AI fever, that is advertising, aka adtech. From the desktop sidebar ads in the 1990s to mobile advertising and the user recognition capabilities of CTV marketing, the advertising industry has evolved dramatically over the past two decades. Everywhere the eye can see today is likely an advertisement. One can thank the internet and new technologies like AI and ML (machine learning) for this drastic change.

    Gradually, as remote access to stable internet connections and the widespread distribution of smartphones and smart televisions increased, the pathway to video and online ads became clearer. Some significant industry experts believe that the launch of the iPhone and the consequent smartphone market growth played a considerable role in augmenting the acceleration of adtech, specifically online advertising.

    A 2021 InMobi report revealed that programmatic mobile video ads had registered a 194 per cent increase in India. This proves the widespread adoption of video ads as a more effective source of advertising than others, as they are better at connecting and engaging with the audience. But this is just one example of the new wave that enveloped the advertising industry and pushed it toward the path of unprecedented success.

    The latest tools and approaches are taking the adtech world by storm

    Interactive ads: Going over and beyond

    Interactive advertising is a contemporary marketing technique that enhances customer participation. The primary focus is to ensure that consumers engage with and interact with the ad, directly or indirectly, and provide real-time feedback on the relevant campaign. The idea is to not limit the audience from viewing the ad but to make them feel its presence and relevance. There are different ways to implement interactive advertising. Here are a few pioneering examples:

    1. 3D impact: A solution that offers immersive experiences to consumers by leveraging advanced animations to deliver multiple messages in one video. Utilising this, advertisers can improve customer brand recall, enhance the ROI, and make a high impact.

    2. 3D wobble: A solution that delivers compact and efficient information through a comprehensive UX powerhouse. It adds a noteworthy twist to ads and increases user engagement, brand conversion ratio, and click through rate (CTR).

    3. Shoppable unit: A solution that appears as a deck inside a conversational flow. It allows customers to swipe and check out the sequence of product images. This is an effective solution for brands gearing up to streamline their sales and marketing strategies.

    CTV advertising: Think bigger

    Connected TV advertising (CTV) is a type of advertising approach placed on any smart TV with the facility to connect to the internet. CTV essentially depends on a large TV screen, which enables advertisers to engage audiences in a linear TV-like environment.

    It allows advertisers to create a one-to-many relationship with the audience (propelled by co-viewing) compared to other advertising methods where advertisers establish a one-on-one relationship with their target customer base. There are several ways to implement CTV advertising. Here are a few suggestions:

    1. Split screen: The split screen technology offers viewers a non-disruptive, non-intrusive, side-by-side creative display. This ensures that consumers don’t miss any key details or pay attention to the content they are consuming while consciously or subconsciously watching the display ad.

    2. Brand assimilation: By harnessing the power of mighty brand assimilation, advertisers can manipulate visual effects and place brands in a place where they get seen by customers seamlessly and effortlessly.

    3. Persuasive overlay: This approach includes a contextualised and commercial interactive video that connects with the audience through powerful content. The video is created in such a fashion that consumers can quickly connect the display with the brand.

    Wrapping up

    The use cases, solutions, and approaches mentioned above clearly demonstrate that AI is not the distant future of adtech but its present. This remarkable technology plays a crucial role in helping advertisers deliver highly engaging and non-intrusive ads while providing incremental revenue to publishers. Additionally, given that AI can automatically generate the ad while keeping customer preference in mind, advertisers don’t need to engage their manual workforce for such tasks and can easily concoct their next ad campaign.

    AI has made it incredibly easy for advertisers to leverage its many benefits while simultaneously saving money and optimising efficiency to a noteworthy extent. Adequately handling this can improve the overall effectiveness and ROI of ad campaigns, making the entire concept more rewarding.

    The author of this article is VDO.AI founder and CEO Amitt Sharma.

  • Full stack developer: The next big thing in technology?

    Full stack developer: The next big thing in technology?

    Presently, full stack developer has emerged to be a highly sought career alternative worldwide. Companies are hiring full stack developers in huge numbers. A Full Stack Developer must possess a vivid knowledge of the front end, version control, the back end, debugging, database management, operating system, and system design. Therefore, the demand for full-stack developers is increasing because of their inclusive technical knowledge in various fields.

    What is Full Stack Development?

    Full Stack Development is an end-to-end application software development. This software development encompasses a front end as well as a back end. The user interface is the main part of the front end, while the back end comprises application workflows as well as business reasoning.

    What is the next big thing in technology?

    Technology is expanding at an unbelievable rate. Every business is using technology to elevate its offerings. The usage of technology was different before the pandemic. However, after the recent pandemic, the usage of technology in full-stack development has changed. In this article, we are going to discuss those contemporary trends.

    1. Artificial Intelligence (AI)
    Realising the importance of confidentiality of business and data, companies have started to adopt Artificial Intelligence. AI is considered to be the next-generation technology. And it has already entered the commercial market around the world. It has become essential for full-stack developers to master AI. An Artificial Intelligence expert will contribute to the development and growth of the company. AI specialists will also be able to comprehend customers’ requirements and behaviours.

    2. Blockchain
    Blockchain has mushroomed enormously in recent years. Various companies are opting for and investing in blockchain. This technology simplifies monetary transactions of companies. Hence, it is highly recommended for a full-stack developer to acquire proficiency in blockchain. Then the specialist can look after the transfer of money, government transaction, digital currency transaction and land transaction.

    3. Machine Learning (ML)
    Companies have ultimately understood the worth of Machine Learning. Thereafter, this technology has seen a spike in its growth. Machine Learning procedures can analyse data from previous experiences and can improvise its predictions and decisions. Hence, a Full-stack developer must know Machine Learning to bag the benefits and opportunities for his company.

    4. Code Development
    One of the latest trends is low code-development. Coding a program is a slow process. Therefore low-code development was invented. This code does not require complicated coding and offers logical understanding. It helps the customers to understand the software and customise it according to their requirements. Low code development helps in digital transformation and the development of complicated industrial solutions.

    5. Programming Language
    Learning Computer Language or Programming Language is extremely important for a Full-stack developer. All applications and web pages are developed with the help of Programming Languages. One of the most popular Computer Languages is JavaScript. This language is extremely easy and flexible to use.

    6. Mixed Reality
    Mixed Reality is one of the recent inventions. It has opened many unimaginable opportunities with the passing years. It was only possible because there was an incredible improvement in computer vision, input system, graphics and visualisation techniques. Mixed reality includes two main parts: Virtual Reality and Augmented Reality. This technology mixes real and natural environments and creates an absolute virtual environment. This gives users an out-of-the-world experience. This is generally used in the commercial, health care and, gaming sectors.

    Conclusion

    A career in Full-stack development is quite lucrative. This is because of the high remuneration and job availability. If you are willing to commence a career as a Full-stack developer, then get yourself enrolled in a Full-stack developer course. Join the online courses offered by Imarticus to explore and bag more opportunities.

     

  • GUEST ARTICLE: Impact of 5G in marketing and communication

    GUEST ARTICLE: Impact of 5G in marketing and communication

    Mumbai: While the 5G discourse has been mainly centred on autonomous vehicles and telecom capabilities, the truth is that there is more to this emerging technology than simply enhancing our mobile connectivity. To elaborate, 5G will accelerate technological innovation by enabling AI and machine learning (ML) at the edge, bringing with it unprecedented new enterprises and technological capabilities. According to the report, 1.4 billion devices will be connected to 5G by 2025, opening up a world of possibilities for explosive data. As new devices and technologies are created across industries, what used to take years or months to reach the market will now be accomplished at breakneck speed.

    5G network design and connectivity are rapidly becoming more widely available. It can benefit from the rising availability of this service in a variety of ways, including marketing and communications. The faster the customers and prospects can connect to and navigate the network, the happier they’ll be. 5G ensures that more people can connect to and utilise your network or website more quickly and consistently, even when traffic levels are higher than usual.

    So, what does this all ultimately mean for marketing and communication?

    Because many industries are expected to be impacted, marketing and communications professionals must be ready to develop their messaging and properly explain the results of 5G to key influencers and stakeholders. Here’s how it works:

    5G will help in enhancing experiential marketing

    The promise of 5G — from high-power edge computing to lightning-fast speed — is an opportunity for both consumers and companies. Communication can help brands to position themselves in the community as visionaries, discussing trends and projections while emphasising the growth of their business and generating interest and enthusiasm about the beneficial effects of brands in the community through 5G. Marketing will also assist in allowing the consumer to personally experience the brand or product and obtain brand rewards through 5G. Experiential marketing has always been known for highlighting a brand’s physical presence. With 5G, brands can use artificial intelligence (AI), virtual reality (VR), and augmented reality (AR) approaches to communicate with those who are still striving to reach consumers faster.

    5G technology opens up AR and VR

    Online interactions will increasingly revolve around immersive experiences, and 5G will make this transition more seamless. Virtual reality experiences can take the role of video in marketing by immersing the client in the experience rather than simply showing them what is available. For example, you could allow a customer to enter the store where they want to buy something; allow them to try on hundreds of different items of clothing without entering a changing room; or even allow them to dine with their favourite celebrity.

    Personalization

    Data collection is probably going to get much better under 5G. Discovering your customer might take less time. From this, marketing and communication will be able to help brands know how they can connect with their target audience and consumers faster. Due to such fast connectivity, they can also help brands connect with the media. Such technology will also help marketing by making brands more personalised and immersive experiences for their consumers.

    Marketing and communication will become more interactive

    With 5G’s high-speed capabilities, communication may become more appealing in addition to being more prevalent in the media. Marketing will become more interactive, which was previously thought to be impossible. However, 5G may make this tactic more feasible for marketing professionals. It will become more digital and immersive in the future.

    5G signifies that more individuals can connect to and use the companies’ experiences or goods more swiftly and reliably. The future of marketing and communication will help brands connect with customers and prospects faster and more passively, boosting the brand’s image and awareness with the aforementioned points.

    The author of this article is Scenic Communication co-founder Anindita Gupta.