Regulating Artificial Intelligence in the Philippines: Policy Paper by Dayrit, Micaella, Nalagon, Gian Bern, Pajo, Divine Grace, Pineda Julis Gabriel, Rivera, Julia Alessandra, Assistant Professor Chad Patrick T. Osorio

In recent years, the emergence of artificial intelligence (AI) has slowly but inevitably transformed the global technological landscape, heralding a new era of advancements that may have seemed impossible in the past decades.

This AI-driven paradigm shift has ushered in substantial enhancements across a myriad of sectors, including but not limited to finance, national security, transportation, and communication. Its trajectory is marked by relentless innovation as it forges new pathways and benchmarks of progress. From pushing improvements in the health sector in terms of more precise diagnostics and accelerated drug discovery to advancing manufacturing by providing leveraged sophisticated algorithms to refine production processes and improve the efficiency of the delivery of goods and services, there is no doubt that AI has come a long way in the ways of our economy.

Despite the recognition of AI’s role in fostering innovation and streamlining operational efficiency, its swift integration into the fabric of society raises a host of complex challenges. These challenges compel a rigorous analysis of AI’s economic repercussions and underscore the urgency for judicious regulatory frameworks. The rapid expansion of AI applications has been met with measured skepticism among various stakeholders, including scientists, economists, and policymakers.

This ambivalence stems from a prudent recognition of the potential risks associated with the unchecked proliferation of AI systems. Consequently, this paper aims to dissect the multifaceted imperative for AI regulation within the Philippine context.

Part I aims to provide a critical assessment in the context of Philippine-specific challenges and the current state posed by AI on issues.

In Part II, attention is directed toward the existing and ongoing international legal and regulatory landscape of AI, providing a comparative backdrop.

Founded on this comparative analysis, Part III delves into a comprehensive analysis of the unique challenges the Philippines faces in implementing AI regulation. Building on this analysis, the part also proposes tailored regulatory approaches and frameworks.

In the end, Part IV synthesizes these discussions, evaluating whether the Philippines is currently able and prepared to adopt new regulations for AI.

Download the whole report here.

About the Authors:

Micaella Dayrit is an Economics undergraduate student from the University of the Philippines Los Baños, specializing in Development Economics. Micaella takes part in activities even outside of her field, especially those that promote women’s rights and welfare.

Gian Bern Nalagon is an Economics undergraduate student from the University of the Philippines Los Baños, specializing in Development Economics. Passionate about economic empowerment and public service, Gian actively engages in projects that advocates for equal access to opportunities and is committed in developing inclusive and sustainable communities.

Divine Grace Pajo, an Economics undergraduate specializing in Environmental Economics at the University of the Philippines Los Baños, is a fervent advocate for women’s empowerment. Beyond her academic pursuits, she dedicates herself to initiatives fostering a more inclusive and equitable society for women.

Julius Gabriel Pineda is an Economics undergraduate student from the University of the Philippines Los Baños, specializing in Development Economics. Julius has a passion for giving back to the community by applying the things he has learned in economics.

Julia Alessandra Rivera is an Economics undergraduate student from the University of the Philippines Los Baños, specializing in Development Economics. With a passion for the intersection of economics, management, and law, Julia has actively engaged in various extracurricular activities through participating in organizations aligned with her personal aspirations and beliefs.

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SwissCognitive Guest Blogger: Chad Patrick Osorio, Cross-Disciplinary University Lecturer for Environmental Economics, International Law & Social Psychology – “From Swiss Precision to Southeast Asian Potential: Unleashing the AI Advantage”

The Swiss, known for their timeless innovation, world-class precision, and culture of excellence, should consider investing in AI projects in Southeast Asia, a region ripe with opportunities and untapped potential. The International Monetary Fund notes that Asia Pacific hosts 35% of the world’s aggregate economic output. A leading powerhouse in the region is the Association of Southeast Asian Nations (ASEAN), collectively the 5^th largest economy in the world. The IMF foresees Southeast Asia to be the world’s fastest growing region. Indeed, the Swiss Federal Council has taken note of the region’s growing potential when it comes to trade and investment, and is pivoting towards ASEAN in the coming three years.

This article explores a number of compelling reasons why Swiss firms and investors should seize this opportunity and consider the untapped potential that await them in Southeast Asia.

Growing Market Potential

Southeast Asia is currently primed for remarkable economic boom. This is fueled by a rising middle class, urbanization, and increased digital adoption. Some of the region’s fastest-growing economies, such as Vietnam, Cambodia and the Philippines, present an ideal market for AI solutions. Investing in AI projects in Southeast Asia allows Swiss businesses to tap into this burgeoning market and gain a competitive edge in various sectors.

Investing in AI projects in these countries can serve as a strategic gateway for Swiss businesses to access the broader Association of Southeast Asian Nations (ASEAN) market. With a combined population of over 650 million and a rapidly growing consumer base, the ASEAN region offers immense opportunities for expansion and growth. By establishing a presence through AI projects, Swiss companies can position themselves for long-term success and establish valuable networks and partnerships across ASEAN countries.

Access to Global Talent

Southeast Asia boasts a vast pool of talented professionals, including engineers, data scientists, and AI experts. Many countries in the region are investing heavily in developing AI skills and capabilities, nurturing a strong talent ecosystem. In fact, a number of Southeast Asia’s leading universities have begun offering courses in AI and data science, with many more soon to follow suit. By investing in AI projects in Southeast Asia, Swiss businesses can gain access to this talented workforce, fostering collaborations and knowledge exchange that can propel their own AI initiatives to greater heights.

In addition, major cities in Southeast Asia, such as Singapore, Bangkok, and Jakarta, have evolved into vibrant hubs, attracting global businesses and startups alike. Together with academic and research institutions, these hubs offer a conducive environment for collaboration and innovation, providing Swiss firms with valuable opportunities to partner with local AI experts, universities, research centers, and businesses. By investing in AI projects in Southeast Asia, companies can leverage these thriving ecosystems and benefit from cross-pollination of ideas and expertise.

Addressing Unique Challenges

Southeast Asia faces distinct challenges that can be effectively addressed through the support of AI solutions. For instance, the region struggles with traffic congestion, infrastructure development, healthcare accessibility, and environmental concerns, among many others. Swiss-led AI initiatives can provide novel solutions to optimize transportation systems, improve infrastructure planning, enhance healthcare services, and promote sustainable practices. By investing in AI projects with use cases applicable in the Southeast Asian setting, Swiss companies can make a significant impact on the region’s development, all the while reaping substantial benefits. This also opens up possibilities for government support and institutional incentives.

Indeed, governments in Southeast Asia are actively promoting the development and adoption of AI technology. The Philippines joined the first 50 countries in the world to launch a National AI Strategy. Malaysia has proposed a “strategic quadruple helix partnership of government, academia, industry, and society” for its AI Roadmap. Singapore envisions itself to be a world leader in scalable, impactful AI solutions by 2030. Indonesia recently launched Stranas KA (Strategi Nasional Kecerdasan Artifisial), spanning 2020 to 2045. These are just some of the examples of how ASEAN countries, individually and collectively, are investing in infrastructure, creating supportive policies, and launching initiatives to foster AI-driven innovation. These government efforts provide a favourable environment for Swiss businesses and investors to enter the market and collaborate with local stakeholders. By leveraging these advantageous conditions, Swiss companies can navigate regulatory frameworks more easily and accelerate the implementation of AI projects. This is not to mention opening the potential for government contracts and partnerships for countries willing to learn from the Swiss AI experience.

IN SUM, investing in AI projects in Southeast Asia offers Swiss businesses a wealth of opportunities to expand their horizons and contribute to the region’s growth. The growing market potential and entry to the greater ASEAN market, access to talent and collaboration hubs, government support, and unique socioeconomic challenges make Southeast Asia an attractive destination for AI investments. Swiss companies and investors should seize the moment and harness the power of AI to drive innovation, create sustainable solutions, and establish themselves as leaders in this dynamic and promising region. By doing so, they can forge strong partnerships, unlock new markets, and secure a prosperous future in Southeast Asia.

Der Beitrag From Swiss Precision to Southeast Asian Potential: Unleashing the AI Advantage erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Copyright: intelligentautomationcorp.com – “How IAC (Intelligence Automation Company) delivered 30% IT cost saving to a Fortune 2000 client”

The IAC Team: They are recognized as global experts and pioneers in the field of intelligent automation. One of the team wrote ‘the’ reference guide for the intelligence automation industry.
At AIC they operate a “Safe pair of hands“ global delivery model with a centre in Southeast Asia (Philippines), Central Asia (India), and Eastern Europe (Slovakia)

The Client:

The client is a leading Fortune 2000 workspace provider. They deliver coworking solutions to more than 2 million people, from more than 3 thousand locations across 6 continents, and have been in the workplace business since 1989. The client’s unrivalled footprint, and unique customer proposition, continue to drive their growth and enable the creation of an entire ecosystem that supports businesses on a local and global level.

The Opportunity

The client operates a distributed IT system and leverages a 3rd party IT vendor. The IT vendor manages the support of all network devices, data centres, technological infrastructure, and workplace IT solutions. The client compensates the 3rd party vendor for the number of support tickets created, devices supported, transaction count, and T&M for special projects. The business effort required in operating a distributed IT model, with a massive footprint of customers using workplace services, and the client’s 10,000+ global employees demands a hefty operating cost paid to the 3rd party IT vendor.

The Risks

The client is risk-averse to any technological integration or changes due to the sensitivity of
the distributed IT model, the scale at which it operates and the cost it would take to deliver an
optimization program. Suffice to say that the client is not
comfortable getting into agreements with another company that might lock them into a costly
contract. IAC laid out a win-win framework that established a clear pathway for success with zero risk to the client.

IAC zero-risk and outcome-based approach

One of the primary challenges for the client is down to the fact that their data is highly unstructured and multilingual. That complexity presents a major roadblock when accurately identifying any potential business impact.

To build a compelling business case, IAC executed a world-class discovery methodology utilizing a variety of emerging technologies.

First, their data science team ran a detailed program to clean and transform the client’s data to make it more manageable and liquid.

They then utilized in-house machine learning clustering and text mining techniques to successfully structure the data.

The data transformation led them to accurately identify large automation opportunities and highlighted key automation use cases that could be leveraged and implemented.

IAC confidently built a 30% cost reduction business case proposal and got into a gain share agreement with the client that stipulated no financial commitment on their end until outcomes aligned to the business case materialized.[…]

To read the whole case study, send a request to office@iac.ai

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Shaping the Societal Acceptance & Development of Artificial Intelligence
It doesn’t matter how great new technological (or any) inventions are, if society doesn’t accept them, all the resources used for research and development goes down the drain. To ensure that new technologies can go through their entire lifecycle and pave the path for new inventions, many aspects come into play. Leaders and experts are one of these aspects and they play a pivotal role in the societal acceptance of these technologies.

Looking at AI From the Right Perspective
AI is an interesting newcomer (if newcomer at all). We use it, as part of end products or services, yet we feel sceptical about it – based on some unrealistic reputation built by the media and Hollywood. As a result, many people, when think about AI, tend to picture robots and avatars, such as Arnold Schwarzenegger in the Terminator, Ava in Ex Machina, David in Prometheus, or they have headlines popping in, such as “AI Will Overtake Humans in 5 Years”, “Humanity Should Fear Advances in Artificial Intelligence”, “Is the World Moving Towards Real Terminators?”, “AI Gained Consciousness”.

The invisibility of this technology also doesn’t make it easy for many of us to understand and accept it. Which is quite interesting as with most inventions we are actually not necessarily interested how they work, but rather what purpose they serve and how they contribute to our lives. Nevertheless, the case is different with AI. Which is not an strange issue after all, as we, human beings are naturally curious, but it certainly sets tougher standards and expectations for industries which need to be met. Organizations not only need to ensure that they comply with Technological Social Responsibility, but they also need to find ways to communicate to the public how the technology works and how they benefit from it.  The sources of these information have to be trusted, justified and credible. Industry experts and leaders play a pivotal role in the process of spotlighting the need for AI-based solutions, and with hands-on transparent insights create understanding and drive development.

“Industry experts and leaders play a pivotal role in the process of spotlighting the need for AI-based solutions, and with hands-on transparent insights create understanding drive development.”

AI Experts in the Spotlight
To ensure that our products and services increasingly benefit from the power of AI across industries, credible experts with hands-on practical insights need to be put more into the public eye. Reason being is that their expertise, skills, experience, and limitless curiosity don’t only serve as mediums to advance AI, but also as a mediums to demystify this technology, create understanding, and  build public trust.

Global AI Ambassadors on a Joint Mission
With the purpose of demystify AI, creating understanding, and  building public trust, and with the strong SwissCognitive principle of “Share for Success”, a global network of AI experts have been created, consisting of 50 AI Ambassadors. These incredibly inspiring minds have been carefully selected by the core and extended Team of SwissCognitive, World-Leading AI Network strictly on the basis of their personal accomplishments – regardless companies, organizations or products. They meet various tough criteria concerning for instance expertise, experience and, very importantly, trust. The AI Ambassadors believe in the smart combination of human and artificial intelligence that can drive businesses and societies forward. They are propelled by passion and committed to share their knowledge & experience with an interdisciplinary approach. They are driven to involve communities worldwide in the AI journey, stimulate information flow across borders and disciplines, and while building trust, play a crucial role in demystifying AI.

The current network of AI Ambassadors is spread out on six continents and consists of experts with an average of twenty years of experience in AI. The power of the network of AI Ambassadors lies in collaboration – reducing misconceptions, spotlighting applications, potentials and challenges and driving the development forward together to the point where the limitation of this technology is only our imagination.

Find out who these experts are! Connect with them on social media and get practical, realistic and un-hyped insights with them into the world of AI.

“The power of the network of AI Ambassadors lies in collaboration – reducing misconceptions, spotlighting applications, potentials and challenges and driving the development forward together to the point where the limitation of this technology is only our imagination.”

Global AI Ambassadors 2022
Aleksandra Przegalinska, Angelica Sirotin, Ann Aerts, Antonio Russo, Aruna Pattam, Ashley Casovan, Carolina Pinart, Christian Guttmann, Claire Matuka, Clara Langevin, Craig Ganssle, Daniel Angerhausen, David Meza, Enrico Molinari, Erik Nygren, Eva Schönleitner, Ganesh Padmanabhan, Heinz V. Hoenen, Irakli Beridze, Jacques Ludik, Jayant Narayan, John Kamara, Marisa Tschopp, Muhannad Alomari, Nancy Nemes, Ngozi Bell, Pascal Bornet, Ria Persad, Ricardo Chavarriaga, Sophie Achermann, Steffen Konrath, Tania Peitzker, Thomas Helfrich, Tom Allen, Umberto Michelucci, Utkarsh Amitabh, Utpal Chakraborty, Alexandra Ebert, Andeed Ma, Chad Osorio, Frida Polli, Giselle Mota, Jeff Winter, Johan Steyn, Kim Dressendoerfer, Leila Toplic, Natasja Ludik, Bret Greenstein, Andreas Welsch, Giuliano Liguori

Countries: Australia, Austria, Brazil, Canada, Germany, India, Italy, Kenya, Netherlands, Philippines, Poland, Singapore, South Africa, Spain, Sweden, Switzerland, United Kingdom, United States

Continents: Africa, North America, South America, Europe, Asia, Australia,

Der Beitrag Shaping the Societal Acceptance & Development of Artificial Intelligence – 50 Global AI Ambassadors on the Mission erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

SwissCognitive Guest Blogger: Chad Patrick Osorio, University of the Philippines Los Banos, Sociov – “All Hands on Deck: AI and the Economics of Sustainable Development”

The focus of the United Nations on Sustainable Development is unquestionable. It seeks to permeate the concept into every aspect of its projects and programmes all over the world.

One of the most popular, yet simplest, definitions of Sustainable Development is “development that meets the needs of the present without compromising the ability of future generations to meet their own needs.” This means thinking not just of ourselves and our consumption, but of the generations to come as well.

Sustainable development also means equitable development. It is important to always keep in mind that in our quest for sustainability, we must not forget the plight of developing countries, vulnerable groups and underserved populations.

Sustainable Development and Economics

When we talk about sustainable and equitable development, an understanding of economics is necessary.

Economics is a social science focused on the efficient allocation of resources in order to maximize human happiness. It is the study of scarcity, and how it could be overcome.

While many people associate economics with money, it’s not necessarily just about that: money is simply the easiest fungible means to correlate to human happiness. After all, money can provide access to essential and non-essential resources alike which can comprise satisfaction. However, we all know that money isn’t necessarily the end-all and be-all of human contentment.

This is why, aside from money-based measures for economic growth like the Gross Domestic Product and Gross National Product, we have other measures which could also indicate economic growth, such as the Human Development Index and the World Happiness Report.

At the same time, this is why the study of economics can be applied, directly or subsidiarily, to other concepts not necessarily involving money, including political economy and the economics of power, the economics of information, and the economic analysis of law and policy, among many others.

Two key aspects of the economics of sustainable development are natural resource economics and environmental economics. The first field focuses on Earth’s natural resources, including extraction to meet supply, demand for provisions, utilization, and allocation. On the other hand, the latter looks at how socio-economic activities impact the natural environment, and vice versa. It concentrates on non-provisioning ecosystem resources, including life system and habitat support, amenity services, waste sink, and biodiversity.

This is why, if advocating for sustainable development and the proper allocation of both environmental and natural resources, it is important to consider not just the wants and needs of the present generation, but plan for sufficient contingencies for future generations as well.

Understanding the SDGs

The ultimate aim of the UN is to advance the 17 Sustainable Development Goals (SDGs), using them as guiding light towards a better 2030. The SDGs evolved from the Millennium Development Goals.

From the headers alone, seven of the SDGs are directly environmentally-related, but it’s important to note that they do not exist in vacuums. These goals are interconnected. This means, for instance, that both SDG 14: Life Below Water and SDG 15: Life On Land affect SDG 2: Zero Hunger. SDG 13: Climate Action is a necessary component of SDG 3: Good Health and Well-Being. The number of examples on how the SDGs are interrelated are factorial. Thus, they must be viewed not as isolated areas requiring only skilled expertise in their respective fields, but rather also from the macro, multidisciplinary perspective.

There are so many new technologies available which could potentially prove ground-breaking in meeting these goals. In fact, applying economics, one of the key considerations is the environment-economy trade-off, illustrated by the Environmental Kuznets Curve. This concept states that as economies improve, environmental deterioration is bound to increase; however, there comes a turning point at which the income can compensate for the environmental deterioration, and can thus be used to invest in programs, projects and technologies which could contribute to environmental improvement.

This is true to a certain extent. However, regardless of the different technologies being able to replicate the production of natural resources to meet human needs and wants, it will be immensely difficult, if not impossible, for them to replicate non-provisioning environmental resources.

Take, for example, biodiversity as a non-provisioning human resource. Biodiversity cannot be artificially manufactured: studies show that introduction of genetically-manipulated species into the wild “diminish rather than enhance biodiversity.” Therefore, the argument that technology can make up for environmental degradation fails this test, considering that any loss in biodiversity should be deemed irreversible, and exponentially so. This in turn supports the idea that permanent harms such as this cannot in any measurable way be mitigated by all the money in the world.

A Global Neural Network to Meet the SDGs

One of the most touted new technologies in recent time is AI. There are many different kinds of AI use-cases, and its application in forwarding sustainable development is myriad.

When we talk about AI, sustainable development and applied economics, one of the first use-cases which comes to mind is usually about sustainable finance: how can AI help find ESG-conscious investors to boost ROI? After all, sustainable development comes at a price.

Searching through thousands of SDG-focused projects and applying predictive analytics to identify which ones could have the statistically-significant chances of success could prevent opportunity losses stemming from inefficient project financing.

Another use case is intelligent image analysis from satellites, and how it can inform policymakers and key actors areas of priority for investments in their protection and development.

Power grids integrating AI for efficiency purposes can serve the goals of SDG 7: Affordable and Clean Energy, SDG 11: Sustainable Cities and Communities, and SDG 12: Responsible Consumption and Production.

Innovation is also a key concept in economics. Neural networks can identify innovative practices and techniques and connect them to various SDGs to come up with novel applications of existing technologies to address industry-specific challenges.

There are just some of the many more examples of how AI and sustainable development can intersect, and these comprise just a very small sample. Indeed, estimates show that by 2030, AI could potentially contribute up to US$5.2 trillion to the global economy, if sufficiently integrated into environmental applications. It can significantly increase green production, lower carbon emissions and add millions of skilled jobs to the labor market worldwide.

Conclusion

As an environmental economist and lawyer, I am always for the fair application of sustainable, equitable development through domestic and international legal mechanisms implementing the SDGs.

As someone working in the field of high tech, I deeply believe that AI, combined with a humanist perspective, can help meet these goals in so many different ways, as outlined above.

However, as I always tell my students, this optimism comes with great caution. AI and other deep tech only serve as a safety net; they’re not necessarily the complete answer to all the challenges faced by sustainable development.

Let’s go back to the Kuznets Curve. Originally, it was conceptualized to apply to equality. Its thesis was that poor economies have increasing inequalities up until a certain point, where afterwards economies will continue to improve but the inequalities would decrease.

If this were true, however, rich countries would have low rates of inequality. However, we know that this is not the case.

I remain hopeful about the Environmental Kuznets Curve, especially with the enormous potential utility that AI and other similar technologies can provide towards meeting the SDGs. However, we should not rely on these technologies alone.

Understanding and implementing sustainable development is a multi-perspective, multi-disciplinary challenge, and as such, both deep tech and economics are just two of the many fields which could be explored to forward its goal. In order to achieve the SDGs, we will need more than just these two fields: rather, we need all hands on deck, working together, for a better, more sustainable future.

About the Author:

Chad Patrick Osorio is Senior Lecturer for Economics at the University of the Philippines Los Banos. He is External Consultant and former Head of Research for ALPHA10X, and current Chief Legal Officer of Sociov, a data-driven coaching and mentoring platform. Send comments and queries to https://chadvice.co/

Der Beitrag All Hands on Deck: AI and the Economics of Sustainable Development erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Copyright: rappler.com – “[OPINION] Why high tech needs a humanist approach”

AI, Big Data, and other high tech are currently being adopted at a staggering pace. For example, the global AI software market is evaluated at $62.35 billion as of Q4 2020, with an expected compound annual growth rate of 40.2% from 2021 to 2028. Few industries experience this much growth in such a relatively short period of time.

One thing to note is that advanced software isn’t self-generating, or at least not yet: at present, it requires humans to design, create, and implement these tech tools.

Many universities and higher learning institutions, in both developed and developing countries, are seeking to take advantage of this by offering related academic courses.

In the Philippines, for example, the College of Engineering of the top-rated University of the Philippines has taken this initiative, with its recently announced its Master of Engineering in AI. The Asian Institute of Management has pioneered a Masters in Data Science in the Philippines, with other top universities like Ateneo de Manila University, De La Salle University, and the University of Sto. Tomas following suit with their respective undergraduate and graduate degree and training programs.

Some people would argue that in order for Filipinos to be competitive in the international tech labor arena, we must use these programs to spur our students’ technical capacities to the fullest. The proposals on how to do so vary, but generally it means more hands-on training and less time in the university setting, with decreased required coursework on non-tech related subjects. This usually translates to the removal of social sciences and humanities from tech-oriented core academic curricula.

I respectfully disagree with these initiatives.

My perspective comes from my work with international organizations, including the Affiliated Network for Social Accountability in East Asia and the Pacific, and the Asian Development Bank, on initiatives to encourage adoption of current and emerging tech to improve local community development. At present, I work with ALPHA10X, which utilizes cutting-edge AI technology with the goal of improving strategic investment and innovation to boost efficiency in the global life sciences industry.

In all these tech-related projects I’ve worked on, my background in psychology, law, and economics have helped provide a holistic perspective and generate insights on how these tech can make the most positive social impact on its target users. For NGOs, this translates to greater and more sustainable community development; for private businesses, this means greater commercial success.[…]

Read more: www.rappler.com

Der Beitrag [OPINION] Why high tech needs a humanist approach erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

SwissCognitive Guest Blogger: Kenneth Sytian, CEO of Sytian Productions

Web development is often related to site design. However, it’s involved in almost every modern software product.
Moreover, web design is the final step in UX design when the web developer applies all the fancy wireframes and then delivers an excellent working web service.

One of the best ways to help web developers struggle with web development is artificial intelligence, particularly AI-based web development.

In this post, we’ll walk you through some tips on how to use the power of AI in web development effectively:

Make coding fast and efficient

Gone were the days where coding was considered complex. With AI assisting with web development, coding has been faster and efficient.

AI also automates different web development processes and allows developers to build code easily. Automated coding has also significantly cut turnaround times, enabling developers to develop more intuitive apps for a short period.

Automate quality assurance and testing

Testing and quality assurance is one of the most frustrating and tedious elements of any software project.

Not only that it drains down the joy in even the most exciting project, but its testing and QA is always a challenge before deployment. It’s also relatively common to look for glitches and mistakes even in the most high-end games or business software. Not to mention the crucial vulnerabilities in Windows and key protocols that may come up occasionally.

A highly automated, AI-powered testing will not only make your current software flawless but also get rid of the need to assign your QA team and check every new piece. However, decreasing the time needed to do basic tests allows your team to look for more sophisticated hidden bugs.

It also ends it with a much more rich and immersive experience in developing games. Business software generates more reliable platforms with fewer crashes and brings more value for money.

Improve user-experience using AI

In a highly digital age, industries are now following a customer-centric approach that drives profit and gains more competitive advantages. Customer experience has now become the epicenter of the modern business world.

Although tech advancements drive customer behavior, AI has brought a unique momentum. Sites that are powered by AI can now identify with customers’ needs in a much better way.

At our company, (web developer Philippines) we always tell clients that one of the best ways to create an influential website is cognitive analysis and environments. It also gives you a better understanding of how prospective customers feel about your products and services.

Moreover, you can do statistical analysis to predict your site’s experience. That way, errors are significantly reduced, and you’ll get the desired value and user experience from the market.

Apart from that, AI-enabled sites quickly process data and information on any scale, serving end-users depending on their interests in the right way.

Incorporate chatbots for better response

Chatbots are probably one of the hottest AI trends out there these days. It significantly enhances the user experience on your website and your organization.

In a nutshell, chatbots are automated assistants that help enhance the power of natural language processing, which delivers results that customers often desire and then interact with them more naturally.

Chatbot’s purpose is to answer the most common or repetitive questions regarding a business. For instance, cinemas use chatbots to inform customers about opening hours or ticket availability.

Services like a dentist or hairstylist can also utilize chatbots in automating bookings. Several industries benefit from chatbots. These include education, finance, healthcare, travel, and real estate.

Moreover, according to data, Facebook has over 300,000 active chatbots waiting to augment, supporting customer relations and customer service.

Voice search is growing fast

Ever since Google Assistant was launched in 2016, there has been a rise in voice-based search in the market. These are great examples of Siri, Alexa, Cortana, and Google Home. All of these use AI to recognize and then respond accordingly to voice commands.

The main idea behind this kind of implementation is to facilitate the customer experience. It’s also more convenient to speak to and then search the internet.

For web developers, voice search adaptability is essential for your toolkit. If we check the data, 58% of consumers use voice search features to look up information on local businesses.

Here, AI in web development is crucial in creating websites as it gives consistent voice communication between the website and its customers. In the future, many businesses are also expected to invest in it.

Bridges the gap between customers and products or services

AI also applies to machine learning, where both work to make predictions. Ideally, these predictions give you the following insights:

• What customers are planning to purchase next
• Which products do they not like
• What are the devices and mediums they use in browsing your site
• What’s your customers ideal time when shopping for products
• AI is something that marketers should be adapting in their strategy to get better results and increase a business’ ROI.

Over to You

There’s no doubt that AI is frequently used in web development to drive better results.

As AI in web development has been highly in-demand, you need to put more effort into serving several purposes for your company and letting you gain traction with users. You can also work with a reputable web developer specializing in AI, and your business will thank you.

About the Author:

Kenneth Sytian is the Owner and CEO of Sytian Productions Web Developer Philippines. He has been designing websites and developing web apps for more than a decade. He is the driving force behind the company and influencer in the industry of web design and development in the Philippines.

Der Beitrag How to Effectively Utilize the Power of AI in Web Development erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

copyright by www.itprotoday.com

The human cost of monitoring for offensive content from social networks and other sites can be high, but advances in artificial intelligence and machine learning are making it possible to offload that work (some of it, anyway), benefiting individuals and organizations alike.

In 2014, Wired ran an article about the emotional and psychological toll taken on people in the Philippines who work to remove offensive content in their roles as content moderators for social media platforms like Facebook. In March of this year, the BBC’s Storyville ran an episode called ” The Internet’s Dirtiest Secrets: The Cleaners .” Like the Wired article, the BBC documentary focused on the terrible toll that filtering the worst of the internet takes on humans.

LinkedIn and other companies ( and countries ) may have hit on a way to mitigate that cost: machine learning. Indeed, ML and AI have become valuable tools for purposes not previously predicted, such as preventing certain content on professional platforms, says

Joana Gutierrez, the CEO and founder of the virtual assistant Meethappy .

The task of keeping nudity and profanity–and much worse–off LinkedIn and other internet platforms isn’t an easy one. LinkedIn has well over half a billion members who post in a couple dozen different languages. If the social network is going to rely on machine learning to keep the site clean, it has to work really well.

Fortunately for LinkedIn, it does. That’s thanks to an algorithm made by Rushi Bhatt, who works in Bengaluru, India. Factor Daily reported on Bhatt’s work, which happens at the company’s development center in Bengaluru and is tied to the site’s ongoing focus on user-generated content. For the Factor Daily article, Bhatt described how machine learning is used to identify the quality of content for LinkedIn, including categorizing content and pre-processing images. The ability to rely on machine learning for this work has expanded in the time since Wired reported on Filipino content moderators, thanks to the advancement in neural network technology.

The benefits of such use don’t come only with content created outside a company. They can also save a firm from an HR (and PR) nightmare if an employee were to post inappropriate material on a company feed, either intentionally or accidentally, Gutierrez pointed out.

There are more advancements to come. For example, IBM’s Watson Tone Analyzer looks at what content intends as well as what it specifically says–an important tool for sites trying to balance freedom of speech with protection of users and removal of illegal or harmful content.[…]

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The regional and global segmentation of the global Cognitive Computing market segments the market into major regions covering United States, North America, Canada, Asia-Pacific, China, India, Japan, South Korea, Australia, Indonesia, Malaysia, Philippines, Thailand, Vietnam, Italy, Europe, Germany, France, UK, Russia, Rest of Europe, Central & South America, Brazil, Rest of South America, Middle East & Africa, Egypt, Turkey, South Africa, Rest of Middle East & Africa and rest of the world. According to the research report, these are the leading market and estimated to grow during the forecast period. Holding the immense share in the global market, it is growing with good speed. Our Research will focus on sector analysis, market trends and competitive landscape and drivers as well as conducts the detailed market research and develop this single-volume resource document.

Leading Players Of Cognitive Computing Market Are:

Google LLC, IBM corporation, Microsoft corporation, Oracle corporation, SAP Inc, Statistical Analysis System (SAS) Software Ltd, Saffron Technology Inc, Vicarious FPC Inc, Palantir Technologies Inc, Enterra Solutions LLC

Global Cognitive Computing Market Segmentation:

Global market segmentation, by technology:

Natural Language Processing
Machine Learning
Automated Reasoning Information
Retrieval Global market segmentation, by deployment:

On-premises
Cloud Global market segmentation, by application:

Robotics
Cyber Security
Social Media Monitoring
Self-driving cars
Gaming
Video Surveillance
eLearning
Global market segmentation, by end-use:

Banking, Financial Services and Insurance (BFSI)
Media & Communication Services
Manufacturing and Natural Resources
Aerospace and Defence
Transportation and Logistics
Government and Utilities
Others (Food & Beverages, Oil & Gas, Real Estate)

Report Coverage:

-Worldwide and Top 20 Countries Market Size of Cognitive Computing , and development forecast 2018-2027.

-Main manufacturers/suppliers of Cognitive Computing global and market share by regions, with company and product introduction, position in the Cognitive Computing market.

-Cost and profit status of Cognitive Computing, and marketing status.

-Market growth, challenges, and drivers.

-Market current status and development trend of Cognitive Computing by types and applications.

Some of the key pointers addressed in the report have been enlisted below:

-An elucidation of pivotal pointers such as the market share amassed by every region sales and the volume accumulated over the projected time frame.

-Further details about the manufacturer base, such as generic overview of the company, an overview of the firm in terms of the position it currently commands in the Cognitive Computing market, and its expanse in the industry.

-An exhaustive summary of the products developed by the manufacturers in question and a concise summary of the product portfolio with respect to parameters such as the product applications and sales volume every product type accounts for.

-Pivotal pointers such as Cognitive Computing market competition trends as well as the market concentration rate – basically inclusive of the specifics about some of the top players of the Cognitive Computing market.[…]

Der Beitrag Global Cognitive Computing Market Report Highlighting Business Opportunities, Industry Leaders, And Forecast 2027 erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.