#Artificial Intelligence in Security Market analysis

[jcmarchi]

The Current State of AI in Marketing 2024

New Post has been published on https://thedigitalinsider.com/the-current-state-of-ai-in-marketing-2024/

The Current State of AI in Marketing 2024

The use of AI in marketing has changed how businesses communicate with clients. It provides personalized client experiences and can automate repetitive tasks. According to a McKinsey study, around 75% of the value AI use cases could deliver falls across four areas, and marketing is one of these.

The Artificial Intelligence (AI) in marketing size is expected to reach $145.42 billion by 2032. 

Despite AI’s potential to deliver substantial results in marketing, marketers are hesitant to fully adopt this technology. Hence, if you’re a marketer not using AI, you’re potentially missing out on the benefits of a highly transformative technology.

Let’s go over the current state of AI adoption in marketing and how marketers can benefit from it.

AI Adoption Among Marketers

The winds of change are sweeping through marketing departments worldwide. A recent GetResponse survey revealed that 45% of respondents already use AI tools in their marketing strategies. They stated that they employed AI to automate processes, personalize marketing, and gain deeper insights into the needs of their target audience.

Furthermore, another noteworthy finding from the survey indicates that approximately one-third of respondents (32%) either do not use AI presently (26%) or don’t even know what it is (6%). This underscores the necessity for enhanced awareness of AI marketing’s advantages. Marketers can truly attain success in their endeavors only by comprehending its potential and how it can boost their marketing efforts.

AI also offers marketers an exciting opportunity. Early adopters who properly leverage AI’s power can gain a competitive advantage in the marketplace.

The Potential of AI in Marketing

AI is changing the marketing industry by creating various new opportunities. Here are a few instances of how AI in marketing is altering how businesses communicate with their customers:

1. Data Analytics

AI enables marketers to monitor customer data and uncover hidden patterns and trends. This allows well-informed decisions by gaining a deeper grasp of customers’ behavior and preferences.

2. Content Generation

AI can generate personalized content, from product descriptions to social media posts, at scale. This frees up marketers to focus on creative strategy and ensures content resonates with specific audience segments.

3. Personalization

AI analyzes individual client data and behavior to allow hyper-personalized marketing experiences. Through dynamic content recommendations, personalized email campaigns, and tailored product suggestions, AI-driven personalization fosters deeper customer engagement and loyalty, driving conversion rates and customer satisfaction.

4. Audience Segmentation & Targeting

AI algorithms can segment audiences, identify high-value customers, and enable targeted marketing campaigns. This maximizes campaign effectiveness and ensures resources are directed towards the most receptive audiences.

5. Programmatic Advertising

AI automates the process of buying and selling ad space, optimizing bids in real time for maximum reach and ROI. This helps marketers to gain valuable time and efficiency while delivering impactful ad campaigns.

6. Search Engine Optimization (SEO)

AI can analyze search trends and user behavior to inform SEO strategies. This helps marketers identify relevant keywords, optimize content for search engines, and improve their organic search ranking.

AI Concerns that Hinder AI Adoption in Marketing

While AI offers numerous benefits, legitimate concerns exist that can affect its wider adoption in marketing. Here are some key roadblocks:

Data Security: Marketers handle a vast amount of sensitive customer data. Concerns about AI security, data breaches, and misuse of information with AI tools can be a significant deterrent.

Vague AI Regulations: The legal domains surrounding AI are still evolving. Unclear regulations can create uncertainty and hesitation around data privacy and consumer rights within AI-powered marketing strategies, concerning 30% of respondents.

Lack of AI Strategy: Many businesses lack a clear roadmap for AI implementation. The technology’s potential can remain unrealized without a well-defined strategy aligning AI with overall marketing goals.

Implementation Cost/Pricey Technology: Advanced AI tools can come with a hefty price tag, posing a challenge for businesses with limited budgets. As GetResponse shows, 35% of respondents are concerned about AI costs. Additionally, the cost of implementation and integration with existing infrastructure can be a barrier.

Skills Gap/Upskilling: Using AI effectively requires a new skillset within marketing teams. Moreover, upskilling current employees or recruiting individuals with AI and data analysis expertise might require additional investment.

Strategies to Overcome Challenges Related to AI Adoption

AI’s power in marketing is undeniable. But, dealing with roadblocks to adoption is key. Here are key strategies to navigate these challenges:

Education and Training

Equip your marketing team with the knowledge and skills to work effectively with AI. Invest in training programs or workshops to demystify their misconceptions and address concerns regarding AI, building their confidence in using it.

Collaboration with AI Experts and Consultants

Team up with AI experts for guidance. These professionals can help you integrate AI into your existing processes. Hence, with their expertise under your sleeves, you can create a strategic roadmap that will help optimize the effectiveness of your AI plan.

Pilot Projects and Testing Phases

Start small. Implement pilot projects with specific goals to test the effectiveness of AI tools in your marketing efforts. This method lets you experiment with AI safely and highlights its benefits for your organization.

Transparency and Communication

Openly communicate the benefits and limitations of AI in marketing to all stakeholders. Addressing privacy concerns and promoting a sense of trust in AI implementation is important for its successful adoption.

Continuous Monitoring and Evaluation

Monitor AI performance regularly, analyzing results and adapting strategies as needed. This will help you understand whether you are on the right track and ensure that AI tools deliver optimal results and meet your evolving marketing goals.

Staying Informed on Evolving AI Regulations

Stay proactive and updated on emerging AI regulations, such as the EU’s AI Act, to ensure compliance and mitigate legal risks. Building a culture of responsible AI use can strengthen consumer trust and promote long-term success.

Ready to use the power of AI in your marketing strategy? Visit Unite.ai, a leading resource for AI and marketing news and insights today. Explore the latest advancements in AI technology and discover how it can transform your marketing efforts.

[dostoyevsky-official]

Palantir Surges Over 23% on Outlook Fueled by ‘Untamed’ AI Demand

Palantir Technologies Inc. shares jumped after giving a full-year revenue forecast that exceeded analysts’ estimates, thanks to what Chief Executive Officer Alex Karp described as “untamed organic growth” in demand for its artificial intelligence software. Best known for its national security work, and more recently its AI platform, Palantir’s stock surged 340% in 2024. The company rode a wave of investor excitement for AI, and more commercial and government customers started using Palantir’s data analysis software. [...] On a conference call after the results, Palantir Chief Technology Officer Shyam Sankar was asked about the potential effects of US President Donald Trump’s efforts to cut the federal government’s budget led by the Elon Musk-run Department of Government Efficiency. “Palantir’s real competition is a lack of accountability in government,” Sankar said. “DOGE is going to bring meritocracy and transparency to government” and prompt it to function more like the commercial market. [...] “We love disruption,” [CEO] Karp said on the call. “Disruption at the end-of-the day exposes things that aren’t working, there’ll be ups and down. There’s a revolution. Some people get their heads cut off.” [...] Citing the late political scientist Samuel Huntington, Karp wrote that “the rise of the West was not made possible ‘by the superiority of its ideas or values or religion, but rather by its superiority in applying organized violence.’”

[rmmhk]

The AI Revolution in Remote Monitoring and Management is Here!

The RMM Software Market is projected to grow at an astonishing 15.4% CAGR from 2023 to 2030. This rapid growth is driven by the integration of Artificial Intelligence (AI) into remote monitoring and management solutions.

Key benefits of AI-powered RMM:

Real-time monitoring and analysis

Predictive analytics for proactive maintenance

Automated incident response systems

Enhanced security measures

Improved IT efficiency and productivity

As a professional in the IT industry, it's crucial to understand how AI is transforming RMM. By embracing these technologies, organizations can: ✅ Reduce mean time to detect and respond to incidents ✅ Improve predictive analytics for equipment failures ✅ Optimize resource allocation and utilization ✅ Enhance threat detection and security capabilities

Are you ready to leverage AI in your RMM strategy? Share your thoughts and experiences in the comments below!

[mariacallous]

On April 15, U.S. chipmaker Nvidia published a filing to the U.S. Securities and Exchange Commission indicating that the government has restricted the company from selling its less advanced graphics processing unit (GPU)—the H20—to China. The company is now required to obtain a license from the U.S. Commerce Department’s Bureau of Industry and Security to sell the H20 and any other chips “achieving the H20’s memory bandwidth, interconnect bandwidth, or combination thereof” to China, according to the filing.

Similarly, a filing from AMD stated that the firm is now restricted from selling its MI308 GPU to China—and likely any chips that have equal or higher performance in the future. Intel’s artificial intelligence accelerator Gaudi will also be restricted under the new control threshold, which reportedly appears to limit chips with total DRAM bandwidth of 1,400 gigabytes per second or more, input/output bandwidth of 1,100 GB per second or more, or a total of both of 1,700 GB per second or more.

The possible new threshold not only restricts the advanced chips that were already controlled but also the less advanced chips from Nvidia, AMD, and other chipmakers, including Nvidia’s H20, AMD’s MI308X, and Intel’s Gaudi, which were used to comply with the export control threshold and intended primarily for sale in the Chinese market.

The new restriction came roughly a week after NPR reported that the Trump administration had decided to back off on regulating the H20. Prior to that report, curbs on the H20 and chips with comparable performance had been widely anticipated by analysts on Wall Street, industry experts in Silicon Valley, and policy circles in Washington.

The latest set of chip controls could be seen as following on from export restrictions during the Biden administration and as continuation of the Trump administration’s efforts to limit China’s access to advanced AI hardware. But the new measure carries far-reaching industry implications that could fundamentally reshape the landscape of China’s AI chip market.

The impact of the new rule on the industry is profound. With the new controls, Nvidia is estimated to immediately lose about $15 billion to $16 billion, according to a J.P. Morgan analysis. AMD, on the other hand, faces $1.5 billion to 1.8 billion in lost revenue, accounting for roughly 10 percent of its estimated data center revenue this year.

Yet the implications go beyond immediate financial damage. If the restriction persists, it will fundamentally reshape the Chinese AI chip market landscape and mark the start of a broader retreat for U.S. AI accelerators from China. That includes not only GPU manufacturers such as Nvidia, AMD, and Intel but also firms providing application-specific integrated circuits—another type of chips targeting specific AI workloads, such as Google’s TPU and Amazon Web Servies’ Trainium.

The new rule will make it nearly impossible for U.S. firms such as Nvidia and AMD to design and sell chips that are export-compliant and competitive in the Chinese market. That means these firms’ market share in the Chinese AI chip market will decline over time, as they are forced to withdraw almost all of their offerings of both advanced and less advanced chips while Chinese firms gradually capture the remaining market.

The H20 and the upgraded H20E are already only marginally ahead of their Chinese competitors. Huawei’s latest AI chip Ascend 910C delivers 2.6 times the computational performance of the H20, although it offers 20 percent less memory bandwidth, which is vital for the inference training and reasoning models that are a key part of modern AI.

The H20’s memory bandwidth, along with Nvidia’s widely adopted software stack, a parallel computing platform and programming model that enables efficient GPU utilization for AI, high-performance computing, and scientific workloads, have been key differentiators driving demand from Chinese AI firms and keeping them competitive in the Chinese market. China acquired more than 1 million units of the H20 in 2024 and has been stockpiling the chip in response to looming concerns about controls since early 2025.

The narrowing gap between the H20 and Huawei’s 910C highlights the growing ability of Chinese AI chipmakers to meet domestic compute demand without foreign GPUs. As of today, Huawei’s 910C is in mass production, with units already delivered to customers and broader mass shipments reportedly starting in May. Most recently, Huawei is reportedly approaching customers about testing its enhanced version of the 910-series GPU—the 910D. Its next-generation chip—the Ascend 920—is expected to enter mass production in the second half of 2025.

Notably, Huawei is just one of many Chinese firms poised to fill the gap left by U.S. suppliers. Chinese AI chip companies such as Cambricon, Hygon, Enflame, Iluvatar CoreX, Biren, and Moore Threads are actively developing more competitive domestic AI chips to capture this expanding market.

Over the next few years, Chinese firms such as Alibaba, ByteDance, Baidu, and Tencent will likely continue to rely on existing inventories of Nvidia and AMD chips—such as the H100, H200, H800, and H20—acquired prior to the implementation of export controls. For example, ByteDance’s current GPU inventory in China is rumored to include 16,000-17,000 units of the A100, 60,000 units of the A800, and 24,000-25,000 units of the H800. Its overseas businesses likely have more than 20,000 units of the H100, 270,000 of the H20, and tens of thousands of cards such as the L20 and L40.

Advanced chips, including the limited amount of Nvidia’s Blackwell-series GPUs, may also continue entering the Chinese market via illicit or gray-market channels, given the enduring performance advantage and wide adoption of these chips over most Chinese domestic alternatives. The Blackwell GPUs and other cutting-edge chips could still be sold legally to the oversea data centers of leading Chinese AI companies to potentially train their AI models.

Similarly, other leading Chinese AI firms still possess significant chip stockpiles. Assuming export controls continue to restrict Chinese AI companies’ access to advanced computing resources, existing GPU inventories should still enable model development over the next several years. Typically, GPUs have a four- to five-year depreciation lifecycle, providing a window during which Chinese domestic GPU manufacturers can advance their capabilities and begin supplying more competitive chips to support domestic AI development.

Ultimately, time is now on the Chinese firms’ side. As inventories of foreign GPUs gradually depreciate and become obsolete, Chinese firms are expected to shift toward and adopt more domestically produced AI chips to meet ongoing compute needs at a time when local chipmakers offer more powerful alternatives. China’s overall computing demand will steadily rise, given the continued advancement of the AI industry, and such incremental growth in demand will likely be met by Chinese AI chipmakers.

As a result, the tens of billions of dollars in revenue that would have gone to Nvidia and AMD will be gradually captured by Chinese AI firms in the coming years. In a rough assessment, the latest ban causes Nvidia and AMD instant losses of about $16.5 billion to $17.8 billion—about 70 percent of what Huawei spent on research and development in 2024.

This new market paradigm will not only strengthen the market position and financial sustainability of domestic Chinese AI chipmakers but also enhance their capacity to reinvest in R&D. In turn, this will accelerate innovation, improve competitiveness, and fortify China’s broader AI hardware supply chain—ultimately contributing to the long-term resilience and advancement of Chinese AI capabilities.

More importantly, the growing domestic adoption of Chinese GPUs enables local firms to refine their products more efficiently through accelerated and larger feedback loops from local enterprises. As the Nvidia-led GPU ecosystem stalls and gradually retreats from the Chinese market, this shift creates space for local players to build a domestic GPU ecosystem—one that may increasingly lock out foreign competitors and raise re-entry barriers over time.

A total ban on the H20 would likely slow China’s short-term growth in AI compute capacity by removing a key source of advanced chips. But the medium- to longer-term impact is less clear. Chinese AI companies, as previously noted, remain very capable of developing their AI by using a large number of existing Nvidia and AMD GPUs for the next few years, alongside a growing supply of improving domestic alternatives. The U.S. leadership’s ultimate goal of using export controls to constrain China’s AI development remains uncertain, as the gap between the two countries’ AI model capabilities appears to be narrowing rather than widening.

What is clear, however, is the broader industry impact of the new controls. If sustained, they will mark the beginning of a major withdrawal of U.S. AI chipmakers from the Chinese market—paving the way for a significant boost to domestic Chinese AI chipmakers. In trying to isolate China, the United States may end up giving Chinese firms a leg up.

[stuarttechnologybob]

What is Microsoft AI tool, and how does it work?

Microsoft Technologies Services

Microsoft has been and is always at the forefront of artificial intelligence, providing tools and resources that simplify the use of AI in real-world applications for businesses and developers. The Microsoft AI tools, built on top of trusted Microsoft Technologies, help automate tasks, analyze data, and improve decision-making through intelligent systems.

What is the Microsoft AI Tool?

The Microsoft AI tool refers to a suite and wide options of services and platforms that allow the users to build, train, and deploy AI-powered applications. These tools are available through Microsoft Azure, the cloud computing platform, and include services such as Azure Cognitive Services, Azure Machine Learning, and AI Builder in Power Automate (formerly known as Power Automate).

These tools and its resources simplify and smoothen down the process of integrating AI capabilities, such as image recognition, language translation, natural language understanding, and predictive analytics, into existing apps or workflows.

How Does It Work?

The Microsoft AI tools work through cloud-based machine learning and pre-trained AI models. Here’s how they function:

Data Input

First, data is fed into the system—this could be text, images, videos, or structured data.

AI Model Processing

The Microsoft AI tools process the data using trained machine learning models. These models and its types are designed and crafted to identify patterns that make predictions, or understand the context.

Action & Output

Based on the terms of analysis and monitoring, the AI tool generates sound output—like detecting faces in photos, summarizing documents, predicting customer behavior, or translating languages instantly.

These tools work seamlessly with other Microsoft Technologies like Microsoft 365, Dynamics 365, and Teams, making them powerful and easy to integrate into business processes.

Why Use Microsoft AI Tools?

Scalable and secure with Microsoft’s cloud infrastructure

Easy to use, even for non-developers, through no-code options

Highly customizable to meet business-specific needs

Works well with other Microsoft Technologies for smooth integration

Many business organizations across various industries and sectors—from healthcare to finance—are utilizing Microsoft AI tools and other resources to enhance efficiency, automate repetitive tasks, and deliver improved customer service with its implementation into their infrastructure. Trusted partners and professional experts like Suma Soft, IBM, and Cyntexa offer expert support for implementing these AI solutions using Microsoft Technologies, helping businesses move toward smarter, data-driven operations. Their solutions help out the businesses to stay agile and alert, adaptive to change quickly, and remain competitive in the ever-evolving market as leads towards stand out of the domain in the industry.

[scamornoreviews]

Is AT8XM Robot Legit Or Not? - AT8XM Robot PayPal Review

Explore the AT8XM Robot Paypal Review to uncover how this AI-driven forex trading system operates, its PayPal integration, and why it could be a game-changer for both new and seasoned traders.

The AT8XM Robot Paypal system combines artificial intelligence with PayPal integration to simplify forex trading. Learn how it works, who it’s for, and what makes it an appealing choice for automated traders.

Introduction

Let’s face it—forex trading can be a tricky beast. With markets shifting in the blink of an eye and economic news constantly rolling in, it’s tough to stay ahead of the curve. That’s where the AT8XM Robot Paypal steps into the spotlight. This AI-powered forex trading tool doesn’t just promise ease of use and smart trading; it also connects with PayPal, making transactions smooth as silk.

So, whether you're green around the gills or a trading veteran, this review will walk you through what makes the AT8XM Robot Paypal stand out in the world of automated forex systems.

What Is AT8XM Robot Paypal?

The AT8XM Robot Paypal is an automated forex trading application that leverages AI to scan markets, spot trading opportunities, and execute trades without needing constant human input. As if that wasn’t enough, it’s designed to be compatible with PayPal, adding a trusted layer of convenience for users handling deposits and withdrawals.

Top Features at a Glance

Smart AI Trading Engine

24/7 Market Monitoring

PayPal Payment Integration

User-Friendly Dashboard

Beginner-Friendly Setup

Real-Time Data Analysis

Customizable Risk Settings

This robot doesn’t sleep, doesn’t hesitate, and doesn’t complain—it just keeps scanning the forex market, aiming for profitable trades while the user can sit back and relax.

How AT8XM Robot Paypal Works

It might sound like rocket science, but the logic behind the AT8XM Robot Paypal is fairly straightforward:

Setup & Connect Broker – Users first create an account and connect it with a recommended broker.

Link PayPal – Funds can be deposited or withdrawn using PayPal, adding a layer of convenience.

Activate Robot – Once active, the robot starts scanning market conditions in real-time.

Trade Execution – Based on algorithmic decisions, it places trades aimed at maximizing profit.

Profit Monitoring – All gains go straight into the broker account, accessible via PayPal.

Pretty neat, huh? With minimal effort, users get a full-fledged trading partner running in the background.

Why Traders Are Buzzing About AT8XM Robot Paypal

There’s no shortage of reasons why this trading tool is gaining popularity:

Saves Time – No need to analyze charts all day.

Emotion-Free Trading – Decisions are driven by data, not by human impulse.

Trusted Payments – PayPal support adds an extra layer of user trust.

Ease of Use – Setup takes minutes, not hours.

Flexible Trading Options – Users can set their own trading limits and preferences.

Low Barrier to Entry – No prior trading knowledge required.

Who Stands to Benefit from AT8XM Robot Paypal?

The short answer? Just about anyone looking to dip their toes into the forex market or take their trading to the next level.

Complete Beginners – It’s plug-and-play simplicity helps new traders ease in.

Busy Professionals – They can let the bot do the legwork while they focus on other things.

Cautious Investors – The customizable risk settings are ideal for those who like to play it safe.

Experienced Traders – Automation lets them scale their strategies without burning out...

Is AT8XM Robot Legit Or Not? Full AT8XM Robot PayPal Review here! at https://scamorno.com/Robot-AT8XM-Review-App/?id=tumblr-legitornotpaypal

Security & Reliability: Is It the Real Deal?

Ah, the million-dollar question. The AT8XM Robot Paypal is reportedly backed by strong encryption and secure broker partnerships. And when PayPal’s in the mix, users often feel a bit more at ease, knowing that their transactions are protected by one of the most trusted online payment platforms out there.

Still, no system is perfect. As always, users should stick with well-reviewed brokers and do a touch of homework before diving in headfirst.

FAQs About AT8XM Robot Paypal

1. Is AT8XM Robot Paypal compatible with any broker?

Not quite. It usually works best with specific recommended brokers that support its integration and features.

2. Do I need trading experience to use it?

Nope! The platform is beginner-friendly, offering automated decisions without requiring deep knowledge of the forex market.

3. How does PayPal come into play?

Users can link their PayPal accounts for depositing and withdrawing funds, which adds a safe and well-known payment method into the mix.

4. Are the profits guaranteed?

Well, let’s not count chickens before they hatch. Like all trading, there’s risk involved. However, the robot is designed to increase the odds in the user’s favor.

5. Can I adjust the robot’s settings?

Absolutely! Users can customize risk levels, stop-loss limits, and trade sizes according to their comfort level...

Is AT8XM Robot Legit Or Not? Full AT8XM Robot PayPal Review here! at https://scamorno.com/Robot-AT8XM-Review-App/?id=tumblr-legitornotpaypal

[govindhtech]

Google Cloud’s BigQuery Autonomous Data To AI Platform

BigQuery automates data analysis, transformation, and insight generation using AI. AI and natural language interaction simplify difficult operations.

The fast-paced world needs data access and a real-time data activation flywheel. Artificial intelligence that integrates directly into the data environment and works with intelligent agents is emerging. These catalysts open doors and enable self-directed, rapid action, which is vital for success. This flywheel uses Google's Data & AI Cloud to activate data in real time. BigQuery has five times more organisations than the two leading cloud providers that just offer data science and data warehousing solutions due to this emphasis.

Examples of top companies:

With BigQuery, Radisson Hotel Group enhanced campaign productivity by 50% and revenue by over 20% by fine-tuning the Gemini model.

By connecting over 170 data sources with BigQuery, Gordon Food Service established a scalable, modern, AI-ready data architecture. This improved real-time response to critical business demands, enabled complete analytics, boosted client usage of their ordering systems, and offered staff rapid insights while cutting costs and boosting market share.

J.B. Hunt is revolutionising logistics for shippers and carriers by integrating Databricks into BigQuery.

General Mills saves over $100 million using BigQuery and Vertex AI to give workers secure access to LLMs for structured and unstructured data searches.

Google Cloud is unveiling many new features with its autonomous data to AI platform powered by BigQuery and Looker, a unified, trustworthy, and conversational BI platform:

New assistive and agentic experiences based on your trusted data and available through BigQuery and Looker will make data scientists, data engineers, analysts, and business users' jobs simpler and faster.

Advanced analytics and data science acceleration: Along with seamless integration with real-time and open-source technologies, BigQuery AI-assisted notebooks improve data science workflows and BigQuery AI Query Engine provides fresh insights.

Autonomous data foundation: BigQuery can collect, manage, and orchestrate any data with its new autonomous features, which include native support for unstructured data processing and open data formats like Iceberg.

Look at each change in detail.

User-specific agents

It believes everyone should have AI. BigQuery and Looker made AI-powered helpful experiences generally available, but Google Cloud now offers specialised agents for all data chores, such as:

Data engineering agents integrated with BigQuery pipelines help create data pipelines, convert and enhance data, discover anomalies, and automate metadata development. These agents provide trustworthy data and replace time-consuming and repetitive tasks, enhancing data team productivity. Data engineers traditionally spend hours cleaning, processing, and confirming data.

The data science agent in Google's Colab notebook enables model development at every step. Scalable training, intelligent model selection, automated feature engineering, and faster iteration are possible. This agent lets data science teams focus on complex methods rather than data and infrastructure.

Looker conversational analytics lets everyone utilise natural language with data. Expanded capabilities provided with DeepMind let all users understand the agent's actions and easily resolve misconceptions by undertaking advanced analysis and explaining its logic. Looker's semantic layer boosts accuracy by two-thirds. The agent understands business language like “revenue” and “segments” and can compute metrics in real time, ensuring trustworthy, accurate, and relevant results. An API for conversational analytics is also being introduced to help developers integrate it into processes and apps.

In the BigQuery autonomous data to AI platform, Google Cloud introduced the BigQuery knowledge engine to power assistive and agentic experiences. It models data associations, suggests business vocabulary words, and creates metadata instantaneously using Gemini's table descriptions, query histories, and schema connections. This knowledge engine grounds AI and agents in business context, enabling semantic search across BigQuery and AI-powered data insights.

All customers may access Gemini-powered agentic and assistive experiences in BigQuery and Looker without add-ons in the existing price model tiers!

Accelerating data science and advanced analytics

BigQuery autonomous data to AI platform is revolutionising data science and analytics by enabling new AI-driven data science experiences and engines to manage complex data and provide real-time analytics.

First, AI improves BigQuery notebooks. It adds intelligent SQL cells to your notebook that can merge data sources, comprehend data context, and make code-writing suggestions. It also uses native exploratory analysis and visualisation capabilities for data exploration and peer collaboration. Data scientists can also schedule analyses and update insights. Google Cloud also lets you construct laptop-driven, dynamic, user-friendly, interactive data apps to share insights across the organisation.

This enhanced notebook experience is complemented by the BigQuery AI query engine for AI-driven analytics. This engine lets data scientists easily manage organised and unstructured data and add real-world context—not simply retrieve it. BigQuery AI co-processes SQL and Gemini, adding runtime verbal comprehension, reasoning skills, and real-world knowledge. Their new engine processes unstructured photographs and matches them to your product catalogue. This engine supports several use cases, including model enhancement, sophisticated segmentation, and new insights.

Additionally, it provides users with the most cloud-optimized open-source environment. Google Cloud for Apache Kafka enables real-time data pipelines for event sourcing, model scoring, communications, and analytics in BigQuery for serverless Apache Spark execution. Customers have almost doubled their serverless Spark use in the last year, and Google Cloud has upgraded this engine to handle data 2.7 times faster.

BigQuery lets data scientists utilise SQL, Spark, or foundation models on Google's serverless and scalable architecture to innovate faster without the challenges of traditional infrastructure.

An independent data foundation throughout data lifetime

An independent data foundation created for modern data complexity supports its advanced analytics engines and specialised agents. BigQuery is transforming the environment by making unstructured data first-class citizens. New platform features, such as orchestration for a variety of data workloads, autonomous and invisible governance, and open formats for flexibility, ensure that your data is always ready for data science or artificial intelligence issues. It does this while giving the best cost and decreasing operational overhead.

For many companies, unstructured data is their biggest untapped potential. Even while structured data provides analytical avenues, unique ideas in text, audio, video, and photographs are often underutilised and discovered in siloed systems. BigQuery instantly tackles this issue by making unstructured data a first-class citizen using multimodal tables (preview), which integrate structured data with rich, complex data types for unified querying and storage.

Google Cloud's expanded BigQuery governance enables data stewards and professionals a single perspective to manage discovery, classification, curation, quality, usage, and sharing, including automatic cataloguing and metadata production, to efficiently manage this large data estate. BigQuery continuous queries use SQL to analyse and act on streaming data regardless of format, ensuring timely insights from all your data streams.

Customers utilise Google's AI models in BigQuery for multimodal analysis 16 times more than last year, driven by advanced support for structured and unstructured multimodal data. BigQuery with Vertex AI are 8–16 times cheaper than independent data warehouse and AI solutions.

Google Cloud maintains open ecology. BigQuery tables for Apache Iceberg combine BigQuery's performance and integrated capabilities with the flexibility of an open data lakehouse to link Iceberg data to SQL, Spark, AI, and third-party engines in an open and interoperable fashion. This service provides adaptive and autonomous table management, high-performance streaming, auto-AI-generated insights, practically infinite serverless scalability, and improved governance. Cloud storage enables fail-safe features and centralised fine-grained access control management in their managed solution.

Finaly, AI platform autonomous data optimises. Scaling resources, managing workloads, and ensuring cost-effectiveness are its competencies. The new BigQuery spend commit unifies spending throughout BigQuery platform and allows flexibility in shifting spend across streaming, governance, data processing engines, and more, making purchase easier.

Start your data and AI adventure with BigQuery data migration. Google Cloud wants to know how you innovate with data.

[fraoula1]

𝐓𝐨𝐩 5 𝐅𝐮𝐭𝐮𝐫𝐢𝐬𝐭𝐢𝐜 𝐒𝐢𝐝𝐞 𝐇𝐮𝐬𝐭𝐥𝐞𝐬 𝐟𝐨𝐫 𝐓𝐞𝐜𝐡𝐢𝐞𝐬 𝐢𝐧 2025

In today’s fast-paced tech world, side hustles can be a fantastic way for professionals to boost their skills and earn extra income. With advancements in artificial intelligence, remote working, and a growing need for tech solutions, 2025 is filled with exciting possibilities for tech enthusiasts.

This post dives into five promising side hustles, supported by data and trends. Techies can capitalize on their expertise and thrive in these areas.

1. Remote IT Support

With businesses shifting to hybrid work models, the demand for remote IT support has skyrocketed. According to a report from the International Data Corporation (IDC), the global IT services market is set to hit $1 trillion by 2025, hinting at tremendous opportunities in this field.

Techies with skills in troubleshooting can offer services to both businesses and individuals. The TechServe Alliance notes that the demand for IT support roles surged over 10% last year, making this a vibrant market.

Starting a remote IT support hustle is easy. Freelancing platforms like Upwork and Fiverr allow techies to find clients quickly. Depending on the complexity of the service, they can earn between $25 and $150 per hour while enjoying the flexibility to work on their own schedule.

2. Cybersecurity Consulting

As cyber threats evolve, companies increasingly prioritize cybersecurity. A report from Cybersecurity Ventures predicts that costs from cybercrime could reach $10.5 trillion annually by 2025. This statistic underscores the growing need for cybersecurity professionals.

Techies with experience in cybersecurity can offer their services to businesses looking to protect sensitive data. A survey by Proofpoint found that 55% of organizations fended off phishing attacks, indicating a strong demand for seasoned professionals.

In this consulting niche, technology experts can earn between $100 and $500 per hour, based on their experience and project complexity. Earning certifications, like the Certified Information Systems Security Professional (CISSP), can significantly boost credibility and income potential.

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3. Software Development and Mobile App Creation

As the world becomes more mobile-first, demand for software and app development is expected to rise. Statista reports that the global app economy may generate over $407.31 billion in revenue by 2026, presenting a lucrative chance for techies skilled in coding.

Developers can enter this space through freelancing or by launching their own projects. Tools like React Native and Flutter allow for efficient cross-platform application development, saving both time and resources.

Freelancers can charge between $50 and $200 per hour based on expertise and project scope. For those willing to turn a side hustle into a full business, the income from app sales and in-app purchases can be enormous.

4. Data Analysis and Visualization

Data remains one of the most valuable assets today, with analytics aiding decision-making. The global data analytics market might reach $300 billion by 2026, creating fertile ground for techies skilled in data analysis.

Freelance data analysts can help companies extract valuable insights from their data. Utilizing tools like Tableau, Power BI, and R can help create compelling visualizations, making their services even more attractive.

Data analysts typically charge between $40 and $150 per hour depending on analysis complexity. Mastering data storytelling enables techies to transform raw data into practical insights, positioning themselves as key assets for businesses.

5. E-Learning Course Creation

The rapid growth of online learning has made creating and selling e-learning courses a sought-after side hustle. The global e-learning market is anticipated to reach $375 billion by 2026, driven by rising demand for skill development.

Techies can harness their knowledge to develop courses on platforms like Udemy or Teachable. Topics can range from programming languages to software tools and emerging technologies, such as AI and machine learning. Statista reported that 42% of online course creators are tech professionals, showing the market's strong bias toward technical education.

Successful courses can generate substantial passive income, sometimes yielding thousands of dollars. Since course creation has low overhead, techies can concentrate on producing high-quality content and devising effective marketing strategies.

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Unlocking New Opportunities in Tech

The side hustles mentioned offer exciting paths for tech-savvy individuals aiming to enhance their skills and income in 2025.

As technology keeps evolving, the need for skilled professionals in IT support, cybersecurity, software development, data analysis, and e-learning will continue to grow.

By leveraging their expertise and using the right platforms, techies can build rewarding side hustles that provide financial perks and opportunities for personal and career growth.

Whether solving challenging problems for clients, creating innovative apps, or imparting knowledge, the potential for side hustles in the tech sector is vast. The key is to find a niche that aligns with personal interests, engage in continuous learning, and embrace the entrepreneurial spirit in this dynamic environment.

In a landscape where technology is at the center of everyday life, techies hold a unique position to lead future innovations. Engaging in these side hustles will not only keep them relevant but also equip them for the challenges and opportunities that lie ahead.

[henrylao0101]

AI Expert: How Rick Green is Transforming Finance with Artificial Intelligence

Artificial intelligence has revolutionized many industries, and the financial sector is no exception. Rick Green has been at the forefront of AI-driven financial solutions, using technology to improve investment decision-making, risk management, and market analysis.

1. AI in Forex Trading

The forex market is one of the most volatile and fast-moving financial markets in the world. Traders must analyze economic indicators, global news, and market trends to make informed decisions. AI has made this process more efficient by offering:

✔ Automated Trading Bots – AI-powered bots execute trades based on real-time market analysis, eliminating emotional decision-making. ✔ Predictive Analytics – Machine learning algorithms analyze historical price movements to predict future trends. ✔ Risk Management Tools – AI identifies potential risks in the market and suggests strategies to minimize losses.

Rick Green has helped traders and investors integrate AI-powered solutions into their forex trading strategies, leading to more accurate predictions and increased profitability.

2. AI in Financial Technology (Fintech)

Beyond forex trading, Green has also made a significant impact in financial technology (fintech). As fintech continues to evolve, businesses must adopt AI-driven tools to remain competitive. Some of the key areas where Green’s expertise has been valuable include:

✔ Fraud Detection – AI detects suspicious transactions and cyber threats, protecting businesses and consumers. ✔ Automated Customer Support – AI chatbots and virtual assistants improve customer service by providing instant, accurate responses. ✔ Personalized Financial Advice – AI-powered platforms analyze spending habits to offer customized investment recommendations.Through his work in fintech, Rick Green has helped businesses streamline their financial operations, improve security, and enhance customer experiences.

Through his work in fintech, Rick Green has helped businesses streamline their financial operations, improve security, and enhance customer experiences.

[nividawebsolutions]

Future of ERP Software in India – Trends to Watch in 2025

As we approach the midpoint of this transformative decade, businesses across India are more reliant than ever on advanced technological solutions to stay competitive and agile. Among these, Enterprise Resource Planning (ERP) software continues to evolve rapidly, becoming an indispensable tool for enterprises aiming to streamline operations, enhance efficiency, and drive strategic growth. At Nivida Software, recognised among the Best ERP software providers in Vadodara and widely trusted as one of the Best ERP software providers in Gujarat, we consistently strive to keep ahead of industry shifts and emerging technologies. Today, we're exploring the pivotal trends set to shape the future of ERP software in India in 2025.

1.  AI-Powered Predictive Analytics:

Artificial intelligence is no longer merely a concept from the distant future; rather, it is increasingly becoming the foundation of enterprise resource planning software. As of the year 2025, predictive analytics that is powered by artificial intelligence will have become the norm, making it possible for Indian enterprises to foresee market swings, consumer behaviour, and internal operational disturbances in advance. With the use of powerful predictive analytics, enterprise resource planning (ERP) systems will enable businesses to make decisions in real-time that are well-informed, thereby minimising risks and increasing profits.

2.  Increased Cloud Adoption:

Cloud technology, already integral to ERP solutions, will witness unprecedented adoption rates. The ease of deployment, scalability, and cost-effectiveness of cloud-based ERP software makes it highly attractive, especially for SMEs in India. As one of the Best ERP software providers in India, Nivida Software anticipates that by 2025, the majority of Indian enterprises, regardless of size, will leverage cloud ERP solutions to stay agile, innovative, and resilient.

3.  Customisation and Personalisation:

One-size-fits-all solutions are quickly becoming outmoded, and customisation and personalisation are becoming increasingly important. By the year 2025, enterprise resource planning (ERP) systems will primarily lean towards customised customisation, which will provide features and functionalities that are suited to the specific requirements of each company. The implementation of this change will result in increased flexibility, which will enable businesses in Vadodara, Gujarat, and throughout India to make the most of their ERP investments in terms of both efficacy and applicability.

4.  Enhanced Mobile Accessibility:

Given that India is expected to have more than 900 million mobile users by the year 2025, enterprise resource planning software needs to become mobile-friendly in a smooth manner. Increasingly, enterprise resource planning (ERP) suppliers will emphasize mobile-first designs, which will enable employees to access essential data and capabilities from any location and at any time. Because of this accessibility, productivity and response time will be significantly improved, both of which are crucial characteristics in the fast-paced business scene of today.

5.  Integration with IoT:

The Internet of Things (IoT) will have a significant influence on the future of enterprise resource planning (ERP) systems in India. With the help of Internet of Things integration, organisations can collect data in real-time from a wide variety of devices and gear, and then feed that data directly into ERP platforms for immediate analysis and action. This trend is going to transform industries such as agriculture, manufacturing, and logistics by making operations more transparent, efficient, and responsive. For example, manufacturing will be revolutionised.

6.  Blockchain-Enabled ERP Systems:

Security, transparency, and traceability are increasingly vital in an interconnected business environment. Blockchain integration in ERP software will play a significant role in addressing these needs. By 2025, we expect blockchain to become a central component within ERP solutions, offering enhanced data security, fraud prevention, and improved transparency across supply chains, particularly in sectors such as pharmaceuticals, finance, and agriculture.

7.  Sustainability and Environmental Compliance:

Environmental sustainability and regulatory compliance are becoming non-negotiable priorities globally, and India is no exception. Future ERP systems will actively support businesses in tracking, managing, and reporting their environmental footprints and compliance requirements. ERP solutions will thus become crucial tools for enterprises to stay compliant, reduce environmental impact, and maintain market reputation.

8.  Advanced User Experience (UX):

Gone are the days when ERP systems were complicated and cumbersome. In the coming years, user experience will be front and centre. ERP solutions will incorporate intuitive interfaces, simplified navigation, and engaging visual dashboards, making complex data accessible and actionable even for non-technical employees. At Nivida Software, we are already pioneering such advancements, reinforcing our position as one of the Best ERP software providers in Gujarat.

9.  Real-time Data Processing and Reporting:

By 2025, ERP software will fully transition into real-time data processing systems. Businesses will no longer rely on batch processing or delayed reports. Real-time analytics and instantaneous reporting capabilities will become standard, allowing enterprises to react swiftly to changing market dynamics, operational issues, and emerging opportunities.

10.              Increasing Focus on Data Privacy and Security:

With data becoming an invaluable asset, concerns regarding its privacy and security continue to rise. Future ERP systems will incorporate advanced cybersecurity measures and rigorous data protection protocols. Providers who prioritise security and privacy will lead the industry, building trust among their clientele.

Closing Thoughts:

The future of ERP software in India is bright, with advancements promising unprecedented opportunities for growth, innovation, and efficiency. By embracing AI, cloud technology, customisation, mobile accessibility, IoT, blockchain, sustainability measures, enhanced UX, real-time processing, and stringent data security, businesses across Vadodara, Gujarat, and India will unlock new potential for success.

At Nivida Software, recognised consistently as one of the Best ERP software providers in India, we’re committed to helping enterprises navigate these exciting transformations. By continually evolving our offerings, staying ahead of trends, and addressing emerging business challenges, we strive to empower our clients with cutting-edge ERP solutions. The future is here, and it’s smart, secure, and sustainable. Welcome to the ERP landscape of 2025.

[plus27digital]

Artificial Intelligence in Digital Marketing: Definition and Tools

AI in digital marketing refers to employing intelligent technologies to enhance how businesses engage with and sell to their customers. Assists with data management, automation, customization, and refinement of campaigns. But what exactly does AI do in marketing? It uses machine learning, data analysis, and natural language processing to perform tasks faster and more accurately than humans.

Many make use of AI to simplify marketing. Customer service chatbots respond to clients in seconds. Tools using predictive analytics make it easier for businesses to grasp future shifts. Some programs are capable of generating content for blogs, emails, and even product descriptions. Messages intended for particular customers can be tailored through personalization platforms, making them more appealing. Marketing automation tools streamline tedious processes such as email dispatching and advertising, thereby cutting down on time and effort.

AI enhances digital ads as well. It modifies cost-per-click bids, targets audiences, and adjusts creatives simultaneously in order for businesses to derive the most benefit. Sentiment analysis tools automatically filter and analyze social media channels and online reviews to assess client’s’ perceptions. Customer segmentation tools analyze persona’s behavior to aggregate them into more manageable groups, thus enhancing campaign efficiency.

What are the advantages? AI saves labor in completing repetitive tasks. It provides businesses with comprehensive insights, assisting in making better decisions. It delivers content at scale and enhances the customer experience by providing tailored suggestions. It even has the capacity to determine trends, which is advantageous for businesses.

AI can, however, contain imperfections. If an algorithm is trained using biased data, it may contain biases. Misinformation in AI-generated content can lead to erroneous information being disseminated to customers. There are issues of privacy and security with a significant amount of data. Some people are concerned with the issue of transparency—who owns the content generated by AI?

AI is evolving in digital marketing, creating new opportunities and difficulties at the same time. To remain relevant in today's society, engaging with professionals is the best way to go. PLUS27digital specializes in AI-based marketing strategy development that deliver incredible outcomes. Would you like to learn how AI could improve your business? Let's have a discussion.

[dijacrypt]

STON.fi: Driving TON’s DeFi Revolution

Decentralized finance (DeFi) is redefining financial systems, and on The Open Network (TON), STON.fi is at the heart of this transformation. More than just a decentralized exchange (DEX), STON.fi is fueling critical integrations that are expanding liquidity, enhancing gaming economies, revolutionizing trading automation, and attracting institutional players.

With over $5.2 billion in trading volume, 4 million+ unique wallets, and thousands of new users daily, STON.fi is proving its dominance in the TON ecosystem. But beyond these numbers, it is the strategic integrations and innovations that truly define its impact.

Let’s explore the key milestones and integrations that make STON.fi a force to reckon with in the DeFi space.

Seamless Cross-Chain Transactions with Symbiosis

Interoperability remains a major challenge in blockchain. STON.fi’s integration with Symbiosis solves this by enabling seamless swaps between TON and other blockchains.

This development has:

✅ Expanded TON-based assets’ accessibility across multiple chains.

✅ Made cross-chain swaps cheaper, faster, and more efficient.

✅ Boosted STON.fi’s trading volume and liquidity depth.

Now, TON users are no longer restricted within their ecosystem but can easily interact with assets from Ethereum, BNB Chain, and beyond.

Web3 Gaming Gets a Boost with Elympics

Blockchain gaming is one of the fastest-growing sectors in Web3, and STON.fi has positioned itself at the core of this evolution by integrating with Elympics, a competitive gaming platform.

This partnership allows:

Direct in-game token trading through STON.fi’s swap features.

Liquidity access for TON-based gaming projects.

A streamlined gaming economy where reward tokens can be instantly converted into tradable assets.

With this integration, gaming projects can now operate within a well-structured, DeFi-powered economy.

Enhanced Yield Farming with Farmix

Liquidity provision has always been a key part of DeFi, but STON.fi is taking it further through Farmix, which introduces leveraged yield farming.

Users can now increase their farming rewards on supported pools such as:

✅ STON/USDt

✅ PX/TON

✅ STORM/TON

The ability to leverage positions within liquidity pools means higher yield earnings for DeFi farmers. This solidifies STON.fi’s role as a top liquidity provider on TON.

AI-Powered Trading with Wisdomise

Artificial intelligence is rapidly reshaping financial markets, and Wisdomise has integrated STON.fi’s liquidity pools to enhance DeFi trading automation.

Key features of this integration include:

AI-driven market analysis to optimize trade execution.

Automated limit orders using STON.fi’s deep liquidity.

Advanced risk management tools for precision trading.

With this, traders can automate their strategies while maintaining full control over their portfolios.

Web3 Gaming Economy Expands with TonTickets

Web3 gaming is evolving beyond play-to-earn models, and TonTickets is at the forefront of this shift. By integrating with STON.fi, it brings new possibilities for gamers and projects alike.

This integration allows:

Seamless conversion of in-game rewards into TON-based assets.

On-chain raffles and tournaments with instant payouts.

A robust gaming ecosystem powered by DeFi liquidity.

Gamers and developers now have a trusted platform for in-game economies backed by STON.fi’s liquidity infrastructure.

Institutional Investors Enter the Scene with Zodia Custody

For DeFi to achieve mainstream adoption, it must attract institutional capital. STON.fi has made a breakthrough by integrating with Zodia Custody, a regulated digital asset custody provider.

Key benefits of this integration:

✅ STON becomes the first TON-based token supported by Zodia.

✅ Institutional investors now have a secure way to hold TON-based assets.

✅ Major backers like CoinFund are driving serious capital into the TON ecosystem.

This marks a significant step toward bridging the gap between DeFi and traditional finance.

Multi-Chain Asset Management with Tomo Wallet

Managing assets across different blockchains can be challenging, but STON.fi’s integration with Tomo Wallet has simplified it.

This integration provides:

Direct asset swaps on TON from Tomo Wallet.

A more efficient portfolio management system.

Easier liquidity access, making STON.fi’s services more user-friendly.

Users now enjoy a seamless, all-in-one DeFi experience.

STON.fi SDK: The Backbone of These Integrations

A key factor behind STON.fi’s success is its Software Development Kit (SDK), which enables projects to easily integrate with the platform.

With the STON.fi SDK, developers can:

Integrate STON.fi’s swap engine with minimal coding.

Enable cross-chain transactions seamlessly.

Provide users with a frictionless DeFi experience.

From AI-powered trading to gaming and institutional adoption, the STON.fi SDK is the technology driving DeFi expansion on TON.

Final Thoughts: Why STON.fi is Leading TON’s DeFi Growth

STON.fi isn’t just another decentralized exchange—it’s a foundational pillar of TON’s DeFi ecosystem.

By facilitating cross-chain transactions, powering Web3 gaming, enhancing AI-driven trading, and onboarding institutional investors, STON.fi is proving its long-term value in DeFi.

With its SDK simplifying integrations, STON.fi is ensuring that more projects can tap into its liquidity and expand their offerings.

DeFi is moving fast, and STON.fi is leading the charge on TON. Whether you’re a trader, developer, investor, or gamer, one thing is certain—STON.fi is shaping the future of decentralized finance.

[tech4bizsolutions]

Deep Dives into Tech and Digital Growth Strategies

In an era of rapid technological advancements and evolving business landscapes, understanding the nuances of tech-driven strategies is essential for sustained growth. Companies today must leverage cutting-edge technologies and innovative digital growth strategies to stay competitive. This article takes a deep dive into the world of technology and digital strategies, highlighting how businesses can harness them to achieve their full potential.

Tech Innovation: The Catalyst for Business Evolution

Innovation in technology is reshaping industries, from manufacturing and healthcare to retail and financial services. Businesses that embrace tech innovations can unlock new opportunities and create unique competitive advantages.

Automation and AI: Automation tools and artificial intelligence (AI) are driving efficiency, reducing human errors, and freeing up resources for more strategic tasks. Companies that adopt AI-driven decision-making processes gain valuable insights and predictive analytics.

Cloud Computing: Cloud-based solutions offer businesses scalable, cost-effective options for data storage and software deployment. Cloud technologies facilitate remote work, enhance collaboration, and provide data accessibility from any location.

Internet of Things (IoT): IoT is transforming industries by connecting devices and enabling real-time data collection and analysis. Businesses can leverage IoT to monitor operations, optimize workflows, and improve customer experiences.

5G Connectivity: The rollout of 5G networks is enabling faster communication and data transfer. This enhanced connectivity paves the way for innovations in areas like telemedicine, augmented reality, and autonomous vehicles.

Digital Marketing Strategies for Sustainable Growth

Digital marketing is at the heart of modern business strategies. To stand out in a crowded market, businesses must adopt targeted and innovative marketing tactics.

Search Engine Optimization (SEO): SEO is critical for improving online visibility and driving organic traffic. Businesses should focus on creating high-quality content, optimizing for keywords, and building authoritative backlinks to enhance search engine rankings.

Content Marketing: Content is king when it comes to building brand authority and engaging audiences. Businesses should invest in creating informative, relevant content that addresses customer pain points and provides solutions.

Social Media Engagement: Social media platforms are powerful tools for building brand awareness and fostering community engagement. Consistent posting, audience interaction, and strategic advertising can amplify a brand’s reach.

Data-Driven Marketing: Analyzing marketing performance data allows businesses to make informed decisions and refine strategies. By leveraging analytics tools, businesses can identify trends, understand customer behaviors, and optimize campaigns for better results.

Personalization: Today’s consumers expect personalized experiences. Businesses that use data to tailor their offerings and communication to individual preferences are more likely to build lasting relationships with customers.

Cybersecurity: Protecting Digital Assets

As businesses become more reliant on digital technologies, cybersecurity is paramount. Cyber threats can compromise sensitive data, disrupt operations, and damage reputations. To safeguard digital assets, businesses must implement robust cybersecurity measures.

Multi-Layered Security: Implementing multi-layered security protocols ensures that businesses are protected from various attack vectors. This includes firewalls, intrusion detection systems, and endpoint protection.

Data Encryption: Encrypting sensitive data both in transit and at rest protects it from unauthorized access.

Regular Audits: Conducting regular security audits helps identify vulnerabilities and ensures that security measures are up-to-date.

Employee Training: Human error is a common cause of data breaches. Educating employees on cybersecurity best practices can reduce the risk of phishing attacks and other social engineering tactics.

Customer-Centric Tech Solutions

Understanding and prioritizing customer needs is key to business growth. Tech innovations can enhance customer experiences and build long-term loyalty.

Customer Relationship Management (CRM) Systems: CRM systems help businesses manage customer interactions and provide personalized experiences. By analyzing customer data, businesses can tailor their offerings and improve satisfaction.

Chatbots and Virtual Assistants: AI-powered chatbots offer 24/7 customer support, answering queries and resolving issues in real-time. These tools enhance customer service while reducing operational costs.

Omnichannel Experiences: Today’s consumers interact with businesses across multiple channels. Providing a seamless, consistent experience across all touchpoints—whether online, in-store, or on mobile—is essential for customer satisfaction.

Tech Integration for Operational Efficiency

Integrating technology into core business processes can streamline operations, reduce costs, and improve overall efficiency.

Enterprise Resource Planning (ERP) Systems: ERP systems integrate various business functions into a unified platform, improving visibility and coordination across departments.

Project Management Tools: Digital project management platforms enable teams to collaborate, track progress, and meet deadlines efficiently.

Supply Chain Optimization: Advanced technologies like IoT and blockchain can enhance supply chain transparency, improve inventory management, and reduce delays.

Sustainable Growth with Tech Partnerships

Partnering with tech solution providers can accelerate business transformation and growth. Collaborating with experts allows businesses to access specialized knowledge and cutting-edge technologies without investing heavily in in-house resources.

Scalability: Tech partnerships enable businesses to scale operations as needed, adapting to market demands without significant disruptions.

Innovation: Partnering with tech innovators ensures that businesses stay ahead of industry trends and adopt new technologies as they emerge.

Looking Ahead: Future Trends in Tech and Digital Growth

The tech landscape is constantly evolving, and businesses must stay agile to remain competitive. Emerging trends like artificial intelligence, quantum computing, and edge computing are set to redefine industries. By staying informed and embracing change, businesses can position themselves for long-term success.

Conclusion

Tech4Biz Solutions is committed to empowering businesses with innovative tech solutions and digital growth strategies. Whether it’s leveraging advanced technologies, optimizing marketing efforts, or enhancing customer experiences, Tech4Biz helps businesses unlock new possibilities. By diving deep into the world of tech and digital strategies, companies can fuel growth, drive innovation, and stay ahead of the curve in an ever-changing business landscape. Visit Tech4Biz Solutions to learn more about how we can help transform your business.

[tech-sphere]

Tarun Wig: Co-Founder of Innefu Labs and Leader in Cybersecurity Innovation

Tarun Wig is the co-founder of Innefu Labs, an Indian cybersecurity company specializing in Artificial Intelligence (AI) solutions for national and cyber security. With over a decade of experience, Tarun is recognized as a leader in India's cybersecurity industry, known for pioneering innovative AI-driven security solutions.

Early Life and Education of Tarun Wig

Born and raised in a middle-class joint family in Delhi, Tarun developed a curiosity for technology and learning at an early age. His family, especially his elder sisters and brothers-in-law, played a key role in shaping his intellectual development. Tarun attended Montfort Senior Secondary School, where he excelled academically and developed a strong passion for technology.

He pursued Electronics and Communication Engineering at Bharati Vidyapeeth University, Pune. It was here that his interest in cybersecurity took root, as he explored the intersection of technology and security. During his time at university, he co-founded Appin Group, a venture that would lay the groundwork for his future entrepreneurial success.

Tarun Wig’s Entrepreneurial Journey: Appin Group to Innefu Labs

Tarun's first major venture, Appin Group, began as an educational initiative focused on training engineering students in emerging technologies. However, the company soon pivoted to providing cybersecurity services to government and corporate clients. Under his leadership, Appin grew rapidly, achieving a valuation of INR 14 crore within four years and securing its first round of funding.

Despite Appin’s success, Tarun felt the need to focus on developing homegrown cybersecurity products. This led him to sell his stake in Appin and co-found Innefu Labs in 2011, a company dedicated to building cutting-edge, AI-powered security solutions tailored to India's needs.

Innefu Labs: Revolutionizing Cybersecurity in India

At Innefu Labs, Tarun focused on creating innovative cybersecurity products rather than offering services. One of the company’s biggest achievements was the deployment of India’s first state-wide Internet monitoring system, a milestone that positioned Innefu Labs as a leader in national cybersecurity.

Innefu also developed a link analysis engine for the Delhi Police, which has been instrumental in solving complex criminal cases. The company has since partnered with major government agencies, including the Ministry of Defense, DRDO, and state police departments, helping to secure India’s digital infrastructure.

Global Recognition: Tarun Wig’s Impact on Cybersecurity

Tarun Wig’s expertise has earned him recognition as one of India’s Top 100 Cybersecurity Influencers. He is frequently invited to consult for intelligence agencies, law enforcement, and government organizations across the country. Tarun’s contributions to cybersecurity policy, AI-driven security solutions, and national security have earned him widespread respect within the industry.

Through his leadership, Innefu Labs has successfully competed with global cybersecurity firms, including those from the United States and Israel, by focusing on innovative solutions tailored to the Indian market.

The Vision for the Future: Scaling India’s Cybersecurity Products

Looking ahead, Tarun is focused on expanding Innefu Labs to dominate India’s cybersecurity product market. He believes that India’s IT and tech sector can reach its full potential only if more homegrown technology products are developed. Innefu Labs is at the forefront of this movement, creating high-quality AI-powered products that can compete globally.

Tarun's ultimate goal is to position Innefu Labs as a leader in India’s cybersecurity and AI ecosystem, offering products that protect national security and help businesses secure their digital infrastructure.

Conclusion: Tarun Wig’s Legacy in Cybersecurity Innovation

Tarun Wig has transformed the Indian cybersecurity landscape through his innovative approach and dedication to developing indigenous solutions. As the co-founder of Innefu Labs, he has led the company to become a trailblazer in AI-powered security technologies.

With a focus on cybersecurity products, national security, and AI innovation, Tarun’s work continues to have a lasting impact on India’s digital future. As Innefu Labs grows and evolves, Tarun remains committed to positioning India as a global leader in cybersecurity and technology product innovation.

By pioneering homegrown solutions and leveraging the power of AI, Tarun Wig is shaping the future of India’s cybersecurity industry. His vision and leadership are paving the way for a safer, more secure digital world.