How Does AI Work in Smartphones?

AI in mobile devices uses machine learning algorithms that enable smartphones to perform tasks that typically require human intelligence. For instance, humans understand how to talk to each other and make decisions. Artificial intelligence works similarly by processing and learning from large amounts of data. Then, it makes predictions or decisions based on that learned information.

In mobile devices, AI is often used to improve user experience. For example, AI powers virtual assistants like Siri or Google Assistant, which can understand and respond to voice commands.

AI in Mobile Devices: 5 Future Developments

As the technology advances, AI’s integration into smart devices will become more sophisticated and lead to smarter, more personalized user experiences.

1. Enhanced Personalization

Automation offers a level of personalization that seems tailor-made. AI in mobile devices will further analyze user behavior, learn from interactions and anticipate needs to make smartphones more helpful.

Apple’s Control Center is a prime example of this. It already allows users to access their favorite apps more quickly. In the future, it is expected to adjust to individual habits, suggesting the most relevant apps at opportune times based on learned preferences.

For instance, AI can enable smart scheduling features that suggest the best times for meetings by understanding your calendar pattern. This kind of predictive assistance is essential for small businesses. It ensures the day’s flow is smooth and important tasks are highlighted at the right moment.

While enhanced personalization is of greater convenience, it also increases efficiency. It allows professionals to conduct business as usual and stay more organized.

2. More Precise and Intuitive Voice-Controlled Assistants

Generative AI in mobile devices will elevate voice-controlled assistants from simple commands to conversational interactions. This means the tech on your device will be capable of understanding the tone, context and complexities of human language.

For example, instead of asking Siri a question and it providing a standard, robotic response, your voice assistant will simulate conversations with life-like responses. Google is already set to roll out its Assistant integrated with Bard. When interacting with the Assistant, it will be able to provide information in a naturally sounding way.

As a small-business owner, you will find this particularly beneficial. AI will make voice assistants like active business tools, capable of participating in phone calls to extract and compile key information. This information will help you manage your schedules and suggest optimal meeting times and venues based on the conversation’s content.

Your smartphone can already offer recommendations by analyzing texts, and assist with organizing meetups by syncing calendars and preference settings. As voice assistants become more adept, they will be an extension of the business owner’s capabilities, freeing up their time to focus on the most important tasks.

3. Increased Cybersecurity

AI’s integration into mobile device security will make smartphones more vigilant than ever. This technology will detect unusual login attempts or strange patterns in data access, which could signify a breach attempt.

This could mean an AI that monitors employee devices for signs of phishing attacks by learning from the user’s behavior. Or, it will automatically enable extra security protocols when the device connects to an unsecured network. In the future, AI may also manage complex encryption for sensitive business communications, making it virtually impossible for intruders to decipher them.

Cybercriminals are also known to send SMS messages containing malware, tracking users’ locations without knowledge or permission. AI may be able to detect the malware for you to prevent infections by identifying malicious code. Small businesses will benefit from AI-powered cybersecurity systems that can adapt to the latest threats, ensuring their data remains protected.

With increased security, you can better prevent data breaches while keeping your mind at ease. Plus, this technology will build stronger trust with customers, knowing their information is safe.

4. Camera Features Work Better

AI will also enhance the features of a mobile device’s camera. It will make them more than tools for capturing the perfect picture — it will also strengthen each shot taken.

For instance, the Google Pixel can examine group selfies, identify the best smiles and swap out faces for the best expressions. That way, you ensure everyone looks their best before posting them to social media. Google even offers the Magic Editor tool, which lets users transform their photos using generative AI to edit certain parts of an image.

Looking ahead, AI will continue to refine camera functionality. You can expect features including the following:

• Adjust lighting and composition in real-time.
• Select the best frames from a video to create photos.
• Offer professional-grade editing suggestions.

For content creators or marketers, you can produce high-quality visual content directly from your smartphone. This will streamline your workflows and enable real-time sharing. Therefore, the future of mobile photography looks bright, promising smarter, more intuitive experiences.

5. Optimized Battery Usage

AI optimizes battery usage in mobile devices with immense potential. Smart algorithms can learn individual usage patterns and manage energy consumption by adjusting settings in real time, including:

• Dimming screens.
• Managing app activity.
• Shutting down background processes when they are not necessary.

For instance, AI could detect when a user is asleep and minimize battery drain. Or, it could learn a user’s work routine and conserve energy during expected downtimes.

Overall, AI’s approach toward battery life will extend it significantly, reducing the frequency of charges and enhancing your experience. As a small business, a longer battery life means increased productivity and connectivity. Your device will last a full day of work without needing a recharge. An improved battery life will also mean more time for customer engagement through the apps you use.

The Future of AI Mobile Devices

AI is set to innovate mobile devices, from offering enhanced personalization to optimizing battery life. As these intelligent systems continue adapting, they will become even more integral to daily interactions with technology. It will open new possibilities for efficiency and convenience. Therefore, the future of mobile computing looks bright, with AI leading the way.

The post 5 Future Trends of AI in Mobile Devices first appeared on AITechTrend.

D2M: Bridging the Digital Divide

As the Government of India experiments with D2M technology, its primary goal is to enable users to download multimedia content directly to their mobile phones, even without an active internet connection. This native technology seeks to empower the government to communicate directly with citizens, combat misinformation, issue emergency alerts, and assist in disaster management. In a country with 1.2 billion mobile subscribers, of which approximately 750 million are smartphone users, the implications are profound.

The Growth of Smartphone Users in India

According to a recent Deloitte study, India’s smartphone user base is expected to witness remarkable growth, with a projected Compound Annual Growth Rate (CAGR) of 6 percent. By 2026, India is poised to reach a staggering 1 billion smartphone users. This exponential growth is attributed to the advent of 5G technology and its swift adoption, particularly in rural areas. The DoT recognizes the urgency of this shift and is diligently conducting a feasibility study to harness the potential of this transformative technology.

Collaborative Initiatives to Test D2M Technology

The innovative D2M technology isn’t merely a theoretical concept but a tangible solution in the making. In collaboration with Prasar Bharati, the public service broadcaster, the Indian Institute of Technology (IIT) Kanpur has initiated tests to assess the feasibility of implementing D2M technology. This collaboration showcases the commitment to advancing technological frontiers.

Decoding D2M Technology

To understand the essence of D2M technology, envision it as akin to FM radio. Within the device, a specialized receiver taps into specific radio frequencies, combining broadband and broadcast capabilities. Mobile phones equipped with D2M technology can capture territorial digital TV signals, enabling the seamless transmission of multimedia content directly to users’ phones.

Parag Naik, CEO of Saankhya Labs, emphasizes that D2M technology is a groundbreaking ‘Made in India’ innovation. Its potential to revolutionize content delivery, especially for video content, is immense. With D2M technology, consumers can access video content without the constraints of data plans, a game-changer in today’s mobile-centric world.

The Spectrum Band – 526-582 MHz

Crucial to the success of D2M technology is the designated spectrum band of 526-582 MHz. The Department of Technology has established a committee to study the viability of this band. Currently, it is utilized by Prasar Bharati for terrestrial TV broadcasting, with numerous transmitters operating within this band.

Empowering India’s Citizens

One of the primary drivers behind the government’s endorsement of D2M technology is its ability to disseminate citizen-centric information, even to those without internet access. The cable and Direct-To-Home (DTH) sectors are poised for transformation, as broadcasting directly to consumers’ homes eliminates intermediaries. Ministry of Information and Broadcasting (MIB) Secretary Apurva Chandra highlights the potential magnitude of this change.

Benefits for Businesses and Telcos

Beyond citizen-centric applications, D2M technology also offers significant advantages to businesses and telecommunications companies. It allows telcos and internet service providers to offload video traffic from mobile networks onto the broadcast network. This alleviates congestion in mobile spectrum, resulting in reduced call drops and increased data speeds. With India boasting 622 million active internet users, efficient spectrum management is paramount.

Enhanced Accessibility and Cost Savings

From a consumer perspective, D2M technology presents an opportunity for smartphone users to access multimedia content from Video on Demand (VoD) or Over The Top (OTT) platforms without depleting their mobile data. This is a promising development, especially considering the exponential growth projected for OTT users in India.

Empowering Rural India

With a significant portion of India’s population residing in rural areas with limited internet access, D2M technology offers a lifeline. It ensures that even in areas with poor connectivity, users can access video content, opening doors to education and vital information.

Educational and Agricultural Implications

D2M technology could also prove to be a boon for education in remote areas. Students would gain access to quality educational content, bridging the urban-rural educational divide. Moreover, farmers can receive real-time information on farming practices, weather forecasts, and crop planning.

Overcoming Challenges

Despite its promise, D2M technology faces several challenges. As it remains in its nascent stages, the government must navigate the complexities of bringing various stakeholders, including telecommunications companies, on board for its widespread adoption. This necessitates attractive propositions or policy reforms.

Furthermore, the infrastructural challenge of making D2M technology accessible across the entire country looms large. Ensuring equitable access in remote regions poses a considerable logistical challenge. However, the potential benefits of this technology are too substantial to be ignored.

Conclusion

In conclusion, Direct to Mobile (D2M) technology represents a groundbreaking stride towards a digitally inclusive India. With its potential to bridge the digital divide, empower businesses, enhance accessibility, and transform education and agriculture, D2M is poised to reshape India’s technological landscape. While challenges persist, the government’s commitment to harnessing this innovation is a testament to its dedication to ensuring a brighter digital future for all its citizens.

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Enterprise analytics solutions can be stand-alone information systems or can be provided with solutions for data mining, business intelligence, web analytics, and big data analytics.

What is Enterprise Analytics?

A unified, integrated set of decision-making tools and processes that addresses the entire business problem, rather than just one particular area, and employs the use of the complete spectrum of human and automated capabilities to maximize the performance of all decisions that affect the business.

The enterprise analytics market has been segmented into end-user, component, application, and vertical. Based on end-user, the market is segmented into media and entertainment, BFSI, retail and consumer goods, manufacturing, hospitality, and gaming. Similarly, based on components, the market is segmented into software and service.

Why is Enterprise Analytics Important?

Today, your business’s entire lifecycle is growing exponentially and there’s also been an explosion of the volume of data in organizations, ranging from desktop to the server room to the different places in between. There are various factors that are contributing to the growth of the amount of data that is currently being generated in organizations, the major one being the growth of the Internet and the growing usage of smartphones. With this large amount of data coming from various sources, it is a challenge for organizations to deal with it efficiently. Enterprise Analytics enables an organization to conduct real-time analysis of this data. In other words, enterprises can generate actionable insights from this huge amount of data.

The Importance of Data Quality in Enterprise Analytics

Data quality is a critical concern when an organization is using big data analytics software and deploying applications. One of the main concerns when dealing with big data is to guarantee the accuracy of the data. Thus, there are three major aspects of data quality. First, the data should be accurate or near accurate. This means that a particular data value should be predicted based on an associated prediction metric. The accuracy or precision of prediction depends upon the performance of the prediction metric. Second, the accuracy or precision of the prediction depends upon the quality of the prediction metric. The performance of the prediction metric should be good enough to maximize predictive power.

Benefits of Data Analytics in Business

Conclusion

The rise in popularity of various technologies and their increasing affordability has allowed enterprises to focus more on their business goals and not on the information technology (IT) infrastructure. With this knowledge in hand, IT professionals can easily identify which particular technology to invest in for improving their organization’s performance. Enterprise analytics is one such technological development. This is not to say that the companies that are lagging in analytics implementations are unable to offer a complete spectrum of software and services, but they certainly lack in their ability to leverage their data to derive value from their business processes and operations.

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“As the convergence of technologies is changing the global technology landscape and evolving business strategies, we are seeing companies of all sizes and in all industries start to embrace digital transformation,” said James R. Scapa, founder and chief executive officer, Altair. “Future.AI is the ideal event for business leaders to gain inspiration, insights, and best practices that can be applied to their organizations, regardless of where they fall in their digital transformation journey.”

The global event will connect scientists, engineers, business teams, and creative thinkers who are harnessing the power of data analytics and AI to gain competitive advantages and drive better business results. Attendees will be empowered to discover their data potential and learn from those who are operationalizing data analytics and AI to compete more effectively. Future.AI will include insightful keynotes from thought leaders, panels of experts addressing the latest trends, and more, including:

• Keynote presentation from Dr. Anima Anandkumar, director of machine learning research, NVIDIA
• “AI Takes to the Cloud” panel featuring Intel, Google, Microsoft, NVIDIA, and Oracle
• “AI and Digital Transformation: Paving a Path to Better Business Outcomes,” fireside chat with Capgemini and Sam Mahalingam, Altair chief technical officer
• “Women in Data Analytics” panel will explore challenges and opportunities for women in a male-dominated field
• Industry-specific breakout sessions featuring Rolls-Royce, HSBC, Jaguar Land Rover, FlexTrade, KLA, BreakForth, Mabe, and Meyers Constructors

To learn more and to register for Future.AI, visit https://web.altair.com/future-ai-2021.

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