#AI-enabled Vision Solution in Textile Industry

[verofax]

The Future of Fashion Clothing Labels: Digital Labels

From textile origins to care instructions, knowing the story behind our clothes has never been more important. Now, the fashion industry is on the brink of a technological revolution, led by the growing adoption of QR code labels. Pioneering brands such as Resonance, BruceGlen, and Eon are leading this shift, each advocating for a future where information-rich QR codes replace traditional clothing labels.

Turning Garments into Interactive Storytellers

Fashion isn’t just about how clothes look. It’s also about how they’re made, where they’re from, and how to take care of them. Integrating QR codes on clothing labels allows brands to share these intricate details with customers in an engaging and interactive way. 

Verofax’s Digital IDs: A Novel Approach to Fashion Resale

Verofax is a trailblazer in the movement toward digitized clothing labels, with a unique spin: they can bypass the need for QR codes and use computer vision to help you scan an item. Through a simple scan of a Verofax Digitalized Product, potential buyers can gain insight into a garment’s history, increasing transparency and trust in the transaction. This innovative solution is propelling the fashion industry into a sustainable future, where resale and recycling become the norms rather than exceptions.

Regulatory Perspectives and Privacy Concerns

As the momentum of QR code adoption in the fashion industry grows, the question of privacy cannot be overlooked. The European Commission’s proposal for digital product passports raises pertinent questions about data handling, consumer privacy, and security. Yet, with careful regulation, these concerns can be effectively addressed, paving the way for a safe and transparent integration of QR codes into our clothing.

Future outlook: Fashion Clothing Labels

Esteemed industry expert Lenihan believes we are on the precipice of a watershed moment for QR code adoption in fashion. These small, scannable codes are poised to fundamentally redefine our relationship with our clothes, turning each garment into a gateway of information and interactive experience. The evolution from static tags to dynamic QR codes is a testament to how technology can enhance sustainability, transparency, and engagement in the world of fashion.

As we move forward, let us embrace this technological revolution, eager to see how QR codes will continue to enhance our understanding and appreciation of the garments we wear every day. This is just the beginning, and we are thrilled to be part of this exciting journey into the future of fashion..

About Verofax

Verofax is a compliance and commerce SaaS solution provider, validated by Microsoft and holding PCT patents on Digital passporting, computer vision and AI analytics that enable intelligent supply chain and operations. Fortune100 enterprises across 50 markets have adopted Verofax solutions for securing their supply chain and connecting directly to customers. Verofax is committed to achieving Net Zero by 2025 and promotes global offset and community relief projects across the globe. Visit https://verofax.com.

For media inquiries, please contact:

Wassim Merheby, CEO, Verofax

Email: info@verofax.com

Blog source: https://verofax.com/blog/the-future-of-fashion-clothing-labels-digital-labels

[matiyasolutions]

Matiyas Solutions: Empowering the Indian Manufacturing Sector with ERP Excellence

In the vibrant tapestry of India’s manufacturing sector, efficiency and adaptability are paramount. With its diverse range of industries and complex operational landscapes, the sector demands innovative solutions to streamline processes, enhance productivity, and drive sustainable growth. At the forefront of this transformative journey stands Matiyas Solutions, a pioneering force in delivering tailored ERP solutions designed specifically for the unique needs of Indian manufacturers.

Understanding the Manufacturing Landscape in India India’s manufacturing sector is a mosaic of innovation and tradition, spanning automotive, electronics, textiles, pharmaceuticals, and beyond. Amidst this rich tapestry, manufacturers face myriad challenges, from volatile market dynamics to intricate supply chain intricacies. Matiyas Solutions recognizes these complexities and is committed to providing holistic ERP solutions that address the industry’s most pressing needs.

The Matiyas Advantage: Tailored Solutions for Every Challenge Matiyas Solutions stands as a beacon of innovation, offering a comprehensive suite of ERP solutions meticulously crafted to empower Indian manufacturers. From small-scale enterprises to large-scale conglomerates, our customizable ERP platforms cater to businesses of all sizes and complexities, ensuring seamless integration and optimized performance across every facet of operations.

Key Benefits of Matiyas ERP for the Manufacturing Sector Streamlined Operations: Matiyas ERP streamlines manufacturing operations by centralizing data, automating workflows, and optimizing resource allocation. From order management to inventory control, our solutions empower manufacturers to enhance efficiency and drive productivity at every stage of the production cycle.

Real-time Insights: With Matiyas ERP, manufacturers gain real-time visibility into critical performance metrics, enabling informed decision-making and proactive problem-solving. Our intuitive dashboards and analytics tools provide actionable insights, allowing businesses to adapt swiftly to changing market dynamics and emerging opportunities.

Scalability and Flexibility: Designed with scalability in mind, Matiyas ERP grows with your business, adapting to evolving needs and expanding operations seamlessly. Whether you’re a startup looking to scale rapidly or an established enterprise seeking to optimize processes, our flexible solutions provide the agility and versatility to thrive in dynamic market environments.

Compliance and Governance: Matiyas Solutions places a strong emphasis on compliance and governance, ensuring that our ERP platforms adhere to industry standards, regulatory requirements, and best practices. With built-in compliance features and robust security protocols, our solutions empower manufacturers to mitigate risks, uphold integrity, and maintain stakeholder trust.

Continuous Innovation: At Matiyas Solutions, innovation is at the core of everything we do. We invest heavily in research and development to stay at the forefront of technological advancements, integrating emerging technologies such as AI, IoT, and machine learning into our ERP platforms to unlock new possibilities and drive sustainable growth for our clients.

Partnering for Success: The Matiyas Approach At Matiyas Solutions, we view ourselves not just as vendors, but as partners in our clients’ success stories. Our dedicated team of industry experts works closely with manufacturers to understand their unique challenges, goals, and aspirations, crafting bespoke ERP solutions that align with their vision and drive tangible business outcomes.

The Future of Manufacturing with Matiyas Solutions As India’s manufacturing sector continues to evolve, Matiyas Solutions remains committed to driving innovation, fostering collaboration, and empowering businesses to thrive in an ever-changing landscape. With our unwavering dedication to excellence, we envision a future where Indian manufacturers embrace technology, harness data-driven insights, and unlock the full potential of ERP to achieve sustainable growth and competitive advantage.

In conclusion, Matiyas Solutions stands as a catalyst for transformation in the Indian manufacturing sector, empowering businesses to reimagine possibilities, redefine success, and chart a course towards a brighter, more prosperous future. Together, let’s embark on a journey of innovation, resilience, and excellence.

[vcinteriors]

Transform Your Space: Using AI for Perfect Room Interior Design

In the ever-evolving world of interior design, technology is reshaping the way we create and envision our dream spaces. From choosing the right color palette to arranging furniture and decor, room interior design has become an exciting and efficient process thanks to the integration of Artificial Intelligence (AI). In this blog, we will explore how AI can be harnessed to design the perfect room and also touch upon the services provided by interior designers in Trivandrum for those who seek professional assistance.

The Power of AI in Room Interior Design

AI, once reserved for science fiction, is now a practical tool that is revolutionizing the field of room interior design. Here's how you can use AI to craft the perfect room:

Inspiration Gathering

   AI-powered platforms and apps like Pinterest and Houzz can help you discover design inspiration. By inputting keywords related to your project, such as "minimalist living room" or "cozy bedroom," these AI-driven tools curate a vast collection of images and ideas to kickstart your creativity.

Color Palette Selection

   Selecting the right color scheme can be challenging. AI tools like Adobe Color Wheel and Pantone Studio can analyze your room's dimensions, lighting, and existing furniture to suggest complementary color palettes. They take the guesswork out of the equation, ensuring your room's colors harmonize perfectly.

Furniture and Layout Planning

   AI-powered interior design software, such as SketchUp and Planner 5D, enables you to create a digital model of your room. You can experiment with different furniture layouts, ensuring optimal use of space and flow. These tools provide realistic 3D renderings, allowing you to visualize the final result.

Material and Textile Suggestions

   AI can suggest suitable materials and textiles for your room based on your preferences and needs. For example, if you desire a pet-friendly and durable flooring option, AI can recommend appropriate materials, such as vinyl or laminate.

Budget Optimization

   Staying within budget is crucial when designing a room. AI apps like Havenly and DecorMatters help you set a budget, and they provide product recommendations and price comparisons to ensure you get the best deals without compromising on style.

Interior Designers in Trivandrum: Adding a Personal Touch

While AI tools offer valuable assistance in the room interior design process, there's no substitute for the expertise of a professional interior designer. In Trivandrum, a city rich in cultural diversity and architectural heritage, finding an interior designer who understands your vision and local aesthetics is essential. Here's how interior designers in Trivandrum can elevate your project:

Local Expertise

   Interior designers in Trivandrum have an intimate understanding of the city's unique design trends, cultural influences, and available resources. They can blend modern and traditional elements to create a space that resonates with the local flavor.

Personalized Solutions

   Unlike AI, interior designers offer personalized solutions tailored to your specific needs and preferences. They engage in detailed consultations to understand your lifestyle, preferences, and budget constraints, ensuring the end result aligns perfectly with your vision.

Professional Network

   Interior designers have an extensive network of contacts in the industry, from furniture suppliers to contractors. This network enables them to source high-quality materials and furnishings at competitive prices, saving you time and money.

Project Management

   Managing a room interior design project involves multiple tasks, from procurement to installation. Interior designers take on the role of project managers, ensuring everything runs smoothly, deadlines are met, and the final result exceeds your expectations.

Conclusion

Room interior design has entered a new era with the integration of AI, offering innovative solutions for those seeking to transform their spaces. AI tools provide inspiration, guidance on color palettes, furniture layout planning, material suggestions, and budget management, making the design process more accessible and efficient.

However, for a truly personalized and culturally relevant room design in Trivandrum, it's wise to collaborate with a professional interior designer. Their local expertise, personalized solutions, industry connections, and project management skills will elevate your project to new heights.

So, whether you choose to harness the power of AI or seek the guidance of an interior designer in Trivandrum, remember that the perfect room is within reach, waiting for you to bring your vision to life.

[markettrend24]

AI-enabled Vision Solution in Textile Market (Impact of COVID-19) to Witness Astonishing Growth by Forecast 2022-2028

Global AI-enabled Vision Solution in Textile Market Future Growth, Industry Verticals, and Research Forecast Up to 2028

This market research report on AI-enabled Vision Solution in Textile provides detailed analysis on the main growth prospects and challenges in the market. This research study is expected to guide the new and existing key players in the market in making current business decisions in order to sustain in the rigid competition of the global AI-enabled Vision Solution in Textile market. The report sheds light on the main product portfolios, geographical segments, key applications, and the competitive landscape of the global AI-enabled Vision Solution in Textile market that have been mentioned in the study. (Impact of COVID-19 and Recovery)

Moreover, with the help of analytical tools, the research study gives insights into the main growth barriers, drivers, promising opportunities, and limitations in the global AI-enabled Vision Solution in Textile market. The research report additionally addresses some of the very important questions regarding the development and latest trends in the global AI-enabled Vision Solution in Textile market.

Major players engaged in the development and marketing of AI-enabled Vision Solution in Textile are: Get sample copy for more detail or buy complete report.

Request a sample copy of AI-enabled Vision Solution in Textile Market (Including Full TOC, Table & Figures) @ https://www.reportsandmarkets.com/sample-request/global-ai-enabled-vision-solution-in-textile-market-4346277

Regional analysis for Global AI-enabled Vision Solution in Textile Market includes: North America (United States, Canada and Mexico), Europe (Germany, France, UK, Russia and Italy), Asia-Pacific (China, Japan, Korea, India and Southeast Asia), South America (Brazil, Argentina, and Colombia), Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa).

Revenue forecasts from 2022 to 2028 (with 2021 as the base year) are given for each type, end user segment and regional market, with an estimated value derived from manufacturers’ total revenues. The report also discusses the major players in the AI-enabled Vision Solution in Textile market. It also explains the market movements and regional dynamics of the global market and current industry trends.

“Our new sample is updated which correspond in new report showing impact of COVID-19 on AI-enabled Vision Solution in Textile Industry”

The readers will find this report very helpful in understanding the AI-enabled Vision Solution in Textile market in depth. The data and the information regarding the market are taken from reliable sources such as websites, annual reports of the companies, journals, and others and were checked and validated by the industry experts. The facts and data are represented in the report using diagrams, graphs, pie charts, and other pictorial representations. This enhances the visual representation and also helps in understanding the facts much better.

Key takeaways from the presented market analysis:

Region-wise assessment of the different factors expected to influence market growth in each region

A thorough assessment of growth opportunities for market players in different regions

In-depth understanding of the innovations in the AI-enabled Vision Solution in Textile Market space

Influence of technological advances on the AI-enabled Vision Solution in Textile Market

Analysis of the supply-demand ratio in different end-use industries

The report evaluates the current state of the global AI-enabled Vision Solution in TextileMarket in terms of volume (X units), consumption, value (Mn/Bn), production and more. In addition, the study tracks the latest proceedings within the various market segments, end use industries, geographies, and regulatory landscape.

The report is a compilation of first-hand information, qualitative and quantitative assessment by industry analysts, inputs from industry experts and industry participants across the value chain. The report provides in-depth analysis of parent market trends, macro-economic indicators and governing factors along with market attractiveness as per segments. The report also maps the qualitative impact of various market factors on market segments and geographies.

Report Highlights:

Detailed overview of parent market

Changing market dynamics of the industry

In-depth market segmentation

Historical, current and projected market size in terms of volume and value

Recent industry trends and developments

Competitive landscape

Strategies of key players and product offerings

Potential and niche segments/regions exhibiting promising growth

A neutral perspective towards market performance

Must-have information for market players to sustain and enhance their market footprint

The market analysis provides answers to some important questions related to the AI-enabled Vision Solution in Textile Market:

Which end-use industry is expected to generate the maximum demand for AI-enabled Vision Solution in Textile during the forecast period 2022–2028?

Which market players in the AI-enabled Vision Solution in Textile Market are at the forefront in terms of product/technology innovation?

Which region is set to register the maximum growth in terms of value and market share?

Is the current AI-enabled Vision Solution in Textile Market landscape favorable for new market entrants?

What is the most common observable trend within the AI-enabled Vision Solution in Textile Market?

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TABLE OF CONTENTS:

· 1 Study Coverage

· 2 Executive Summary

· 3 Market Size by Manufacturers

· 4 AI-enabled Vision Solution in Textile Production by Regions

· 5 AI-enabled Vision Solution in Textile Consumption by Regions

· 6 Market Size by Type

· 7 Market Size by Application

· 8 Manufacturers Profiles

· 9 Production Forecasts

· 10 Consumption Forecast

· 11 Value Chain and Sales Channels Analysis

· 12 Market Opportunities & Challenges, Risks and Influences Factors Analysis

· 13 Key Findings in the Global AI-enabled Vision Solution in Textile Study

· 14 Appendix

About Reports and Markets:

Reports and Marketsis not just another company in this domain but is a part of a veteran group called Algoro Research Consultants Pvt. Ltd. It offers premium progressive statistical surveying, market research reports, analysis & forecast data for a wide range of sectors both for the government and private agencies all across the world. The database of the company is updated on a daily basis. Our database contains a variety of industry verticals that include: Food Beverage, Automotive, Chemicals and Energy, IT & Telecom, Consumer, Healthcare, and many more. Each and every report goes through the appropriate research methodology, Checked from the professionals and analysts.

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[analyticsindiam]

Data Science In Action: Unpacking Aditya Birla Group’s AI & Digital Analytics Strategy 

This is the second article of the two-part series of conversations with Aditya Birla’s Group Data and Analytics cell (GDNA) — the analytics and AI arm of India’s mightiest multinational company which has strong roots in cement, aluminium and copper, carbon black and other industries like fashion and textiles, chemicals, telecom and financial services. In our previous article, we looked at how 2017 was an inflection point for the multi-billion dollar corporation when it adopted an inside-out approach to digital transformation — modernising the core system and architecting their business for change by tapping into data, artificial intelligence and digital analytics.  Now, we turn the spotlight on Bengaluru-based 50-strong digital analytics team —  that  is building a future-ready digital enterprise. The Aditya Birla Group operates across multiple sectors and amid its diversity — it’s the GDNA cell that is providing a clear route to value creation by building strategic digital assets which are delivering significantly higher returns.  The GDNA team helmed by Deep Thomas, Chief Data & Analytics Officer follows a centralised operating model — a common talent pool leveraged across group companies that works across multiple business segments, both B2B and B2C. By developing existing capabilities as well as strengthening core capabilities, the prolific analytics team is helping the parent group to succeed in the next decade and putting the parent group in the growth mode.  The team has built a strong data analytics platform which can support day-to-day analytics decisions. The platform “Nucleus” built on AWS cloud is governed by a strict security and governance framework and delivers more agility to stakeholders across the group. The build vs buy decision proved to be a game-changer with the in-built platform giving business heads the security and comfort of their own on-premise data centre.  Analytics India Magazine spoke to Purnesh Gali who’s leading analytics initiatives at Hindalco to understand why the GDNA team eschewed solutions from big data vendors like Cloudera and Hortonworks to build the complete analytics ecosystem from scratch. “This was 2017 and the concept of the cloud was not very well-understood. A couple of years back when the industry talked mostly about on-premise solutions, the GDNA team knew the future was in the cloud. That’s how we decided it’s best to build a hybrid cloud infrastructure. Now we are thinking of taking a multi-cloud approach,” shared Gali.  Building A Strong Business Case For AI and Digital Analytics

So, how does one actually make a case for AI and digital analytics at a conglomerate with a strong brand identity in both B2B and B2C businesses? Hindalco Industries and UltraTech Cement occupy a significant share in the conglomerate’s overall portfolio and that’s where the GDNA team started. “The process started by identifying top priorities for these two business groups, understanding the problems and requirements from business heads and then work on specific proof of concept (POC) projects that can yield high-return and high-growth opportunities,” said Nitin Sareen, SVP - Head of Analytics Solutions & Delivery.  Sareen shared a few advanced analytics use cases around improving quality and assurance in ABG’s manufacturing and asset-heavy industries. “At Hindalco, we started with the quality of finished goods. The company produces a variety of products like extrusions, rolled products, foil, etc which if they don’t meet the quality standard will come back as a defect. For these products we looked at surface defects and breakage” said Sareen.  In heavy industries, product quality is measured in terms of defects and the group is already seeing a 4-5% reduction in defects. “In the context of manufacturing and metals industry, optimising and reducing these defects can result in significant improvement and these numbers are big enough to move the needle,” said Gali, who’s leading the metals initiatives.  The GDNA team is working very closely with the Chief Digital Officer at Hindalco Industries in their entire journey of digitisation, driving analytics adoption and building capability. “We started this journey about one year ago and our goal is to make every person on the shop floor operating the machine use the data to make his/her day-to-day decisions,” added Gali.   “The team is deeply engaged with UltraTech cement to deliver high impact results across the front-end and back-end processes to optimize various business KPIs including market share, logistics cost and operational efficiency” shared Bhargab Dutta, Practice Head- Manufacturing and Supply Chain Analytics, Aditya Birla Group.  Another big-ticket project is freight optimisation for UltraTech Cement. “The idea was how to reduce logistics cost for finished goods which in this case is cement. Cement travel in terms of volume-weighted — the longer the route the more you pay. The two factors resulting in an increase in cost are the overall distance and the volume of the unit. The team worked on identifying the PTPA - per tonne per kilometre rate better known as freight rate to bring down the costs,” shared Sareen. In addition to finding the best freight rate, the team optimally derived the best network so that the overall volume-weighted distances are minimised without hampering the network distribution.  Sayani Nag, Head of Analytics - Retail Value Chain at Aditya Birla Group tells us it’s not always about inventing the coolest technologies. “While AI and cognitive technologies are disruptive forces, it is also important to have a deep understanding of business to create meaningful transformation,” she added. That’s why at ABG, digital analytics is supporting business strategy in two distinct ways — pursuing new business models based on AI-driven insights and secondly, making core business processes more data-driven with innovative solutions around price forecasting, sales forecasting, customer churn and promotions, logistics, predictive maintenance and automating margin decisions.  Developing A Platform With Products and Analytical Assets

Modularising AI assets for reusability has become the go-to approach for highly diverse multinationals. At ABG, the analytics team is building a pool of algorithmic assets for each business sector in the group to drive substantial growth. The team has adopted a platform approach to solutions by modularising core components that can be deployed across domains with minor customisations.  AIM spoke to Naveen Xavier, VP & Head Data & Analytics Products who gave us a lowdown on how the Products team is putting the group into the growth mode by building cutting-edge products that can be applied to the domain and scaled enterprise-wide. “The idea is to develop a framework for building solutions that can be extended to any business domain without changing its existing functionality. This process of building business agnostic capabilities starts by writing software that scales well and can be reused in different configurations to derive new outcomes,” said Xavier.  In a span of six months, the team has implemented GPU and CPU based solutions around facial recognition, computer vision and NLU. The Products team built a computer vision platform VEDA — Video Enabled Decision and Alerts “in precisely six months from the ground up” currently deployed in four plants at Hindalco and customised for the entire group. “Within a year, VEDA will be scaled to 300 manufacturing plants of Aditya Birla Group. From a manufacturing standpoint, safety is a very big concern and we want to ensure our workers and contract workers associated with the group should not face any safety-related issues,” said Xavier. VEDA delivers intangible amount of cost benefits by monitoring fire, oil spillage, crowd formation, people movement in unsafe zones and whether workers are wearing safety gear on the factory floors.  The same solution is utilised for monitoring other assets, especially in remote locations. For example, drones feed from mining sites are analysed for volumetric analysis and in the case of new plant construction to track construction progress.  Up next, Xavier tells us about the facial recognition solution which can map emotions and recommend the next best action to sales representatives in 275 Pantaloons stores across India. In fashion retail stores, business heads have access to the customer’s transaction history but they lack contextual data on consumer behaviour and what actually goes into the making of purchase decisions. “There are multiple instances where customers come into the stores, try out products but don’t make any real purchase. This data is not available, so we are looking at how we can process video feeds from retail stores to capture customers walking in, which products are tried out, which part of the store is most visited,” told Xavier. The tool also performs emotion detection by recording the expression of customers, to better understand whether they are happy with the services.  The next product -- an NLP-based solution implemented in call centre contextualises conversation and assists call centre agents with the next best action and respond effectively. The solution is one of the best ways to optimise Average Handling Time (AHT), improve customer satisfaction and response measurement. “The solution can be applied to analyse social media feedback, service feedback and product quality,” shared Xavier.  Driving Business Transformation With Bleeding Edge Tech  One of the strongest elements of success has been pursuing leading-edge technology at ABG. “It’s not just about ensuring a fast implementation and direct impact on both top and bottom line, we also have to ensure scalability, resilience and performance of our platforms,” said Manigandan Venkataraman, Lead Product Engineering at Aditya Birla Group.  For example, the team leverages cutting-edge AI techniques like deep learning, Bayesian machine learning, reinforcement learning, real-time anomaly detection, topological data analysis, etc. to increase shop floor productivity, ensure worker safety and deliver quality improvements, manage dynamic pricing and improve S&OP through demand forecasting which affects both top-line and bottom-line profitability, shared Sandesh Nandagawe, Practice Leader for collaborations with internal group functions and optimization expert. For specific use cases, they use the best of breed open source technologies like R, Python and AI frameworks like TensorFlow. They are also experimenting with AI hardware like Nvidia DGX-1 to achieve new results and build new experience layers on top of existing products.  Open Innovation

In an ecosystem economy, you can’t just drive transformation alone. This is especially true for transnational giants who need to tap into a network of partners, industries, startups and academia to bring the outside-in view, co-innovate and invest in continuous re-skilling of talent. ABG setup BizLabs an in-house accelerator to catalyse a startup ecosystem that can develop solutions in the area of FinTech and Industry 4.0.  ABG is driving innovation internally and partnering with the ecosystem including academia and startups through hackathons and innovation challenges to accelerate the AI adoption journey and capture growth opportunities. GDNA cell is actively partnering with 10-15 AI/ ML startups that bring unique capabilities and solutions to the table. “We are also collaborating with cross-industry players with extensive domain knowledge that can be used to drive additional value. Our group is partnering with academic institutions across India, the US and Israel to explore new opportunities in emerging technologies,” said Shankar Sivaramakrishnan, Practice Lead, AVP - Group Data & Analytics at Aditya Birla Management Corporation.  Managing Capability Building  While India does have the richest pool of technical talent, data savvy talent is not easy to find, especially people who have analytics and domain knowledge. In the first post, we discussed how attracting the best talent with strong domain expertise across finance, consulting, e-commerce, heavy industries and retail proved to be a recipe for success at ABG.  At ABG, the expectations are more specialized and demanding. The team follows a very selective approach to hiring -- onboarding bilinguals who pack data science and domain expertise as well. “We aren’t just looking for a data scientist who has done a bunch of online courses but looking at domain expertise, especially manufacturing since 80-90% of our group business is that. So that narrows down the kind of resource we are looking for and there is a very small list out there in the market in terms of hires,” opines Gali. The team has a rich talent base both on the data science and data engineering side.  ABG is also one of the few mega giants offering professionals the opportunity to pick multi-sectoral knowledge. “We are getting people who are good with data science concepts and also enabling them to take up domain knowledge. I believe this is something very few companies can offer,” added Gali. The company conducts regular hackathons ⁠— MindSparks and MindFire internally and MindBlaze for external participants to work on specific business problems and foster a culture of innovation.  In addition to this, there are regular internal workshops aimed at capability building. “For example, we had folks from GE who have been working on advanced concepts like topological data modelling conduct a workshop internally. We also have regular workshops with AWS and Azure where they talk about efficient production,” shared Gali. Wrapping Up  Leading multinationals embrace digital transformation by creating a centralised AI group to implement AI at scale. However, that’s just one part of the puzzle. To be a market leader, conglomerates need to combine advanced technologies like AI/ ML along with domain knowledge, build effective collaboration and partnership management capabilities with group businesses/ subsidiaries to respond effectively to changing market dynamics. In this initiative, ABG succeeded by putting together its Group Data and Analytics Cell under one leadership structure that has the agility and speed to deliver impact to group businesses and deliver fast-paced innovation.  Read the full article

[eyeontw]

Microsoft continues to recruit top talent to build a world-class AI R&D community in Taiwan

On the eve of its 30th anniversary, Microsoft Taiwan is pleased to announce that the AI R&D Center in Taiwan, which was established in 2018, is expanding and relocating, a year and a half after its grand opening.

Microsoft is investing more resources into Taiwan’s AI industry.  In the era of AI, where software and hardware integration are inseparable, Microsoft will continue to work with software and hardware partners to build an AI ecosystem of the next generate and create the next momentum for Taiwan’s technology industry through development of pioneering technology.

Wen-Sheng Tseng, Deputy Minister of the Ministry of Economic Affairs, said at the opening ceremony that “Microsoft spared no effort to work with Taiwan’s industry, government and academic circles in technology cooperation.” He added that “We are looking forward to seeing that after the expansion and relocation of the Microsoft AI R&D Center, it can drive the next upgrade of Taiwanese AI talents and technology, enhance Taiwan’s competitiveness and realize Taiwan’s vision of becoming Asia-Pacific AI talent pool.”

On the eve of its 30th anniversary, Microsoft Taiwan will continue to collaborate with partners to create Taiwan’s technological miracle.

Michael Chang, Director of Microsoft AI R&D Center, further pointed out that the keen perception, teamwork ability, creativity and cross-disciplinary integrated logical thinking of the young talents in Taiwan are impressive, “Since its establishment, the Microsoft AI R&D Center in Taiwan has recruited more than 100 talent, and we are thrilled to expand to a two-story office in a short period of time. The relocation will enable outstanding young talents to work on a world-class team and access top international resources, advanced research and development technologies without leaving Taiwan. The Microsoft AI R&D Center focuses on AI technology research and industrial application development. In the future, it will continue to work with Taiwan’s major strategic industry partners to gain an in-depth understanding of AI application needs and assist Taiwan’s industries to upgrade easily and transform with AI.”

Microsoft AI R&D Center’s 3 areas of focus

 As the starting point for Microsoft’s long-term AI program in Taiwan, the Microsoft AI R&D Center will focus on the following three areas of R&D.

Computer vision

Microsoft has set up a computer vision technology research team in Taiwan to work with Microsoft’s research and engineering teams around the world. Computer vision technology can be applied to vertical industry applications such as quality management, detection of smart manufacturing, automated production line management, and textile industry dye management. In smart cities scenarios, computer vision can process urban traffic management and public security maintenance work. In smart agriculture, computer vision can greatly improve crop growth management, cultivation and identification. Computer vision can further promote the development of smart factories, smart cities and smart agriculture in Taiwan

User intention recognition:

User intention is a very important part of AI. This technology subtype creates applications that meet the user’s needs by understanding users and building on their preferences to form intention models. At the beginning, the Microsoft AI R&D Center used Bing advertising as the first area for the application. In the future, the center will expand cooperation with various industries and develop various AI application solutions.

Applications of AI to vertical industries:

Implementing the application of AI in vertical industries is an important goal of the AI R&D center in the medium to long term. In this branch of research, Microsoft will conduct a comprehensive study on industries such as “Smart Manufacturing” and “Smart Healthcare” as mentioned in the 5+2 Industrial Innovation Plan proposed by Taiwan’s Executive Yuan.

Vincent Shih, Assistant General Counsel at Microsoft and General Manager of Corporate, Legal & External Affairs for Microsoft Taiwan, says: “On the special occasion of Microsoft Taiwan’s 30th anniversary, we would like to express our gratitude to our industry, government and academic partners for their long-term support and assistance. In the next 30 years, we will continue to respond to the government’s “5+2 Industry Innovation Plan”, fully launch AI for industry, expand cooperation with all industries, join hands with Taiwan’s industrial partners to enter the era of Industry 4.0 and empower various industries to carry out digital transformation. Together we will help Taiwan to seize the opportunities and advantages in the next wave of the intelligence revolution.”

At the opening ceremony, the AI R&D Center demonstrated a series of Microsoft’s latest AI technology applications, which can be widely applied in medical, entertainment, retail, security management and other fields. The Microsoft R&D team has developed a number of top technologies for computer vision and deep learning, letting the computer strengthen its role in people’s lives and helping people get closer to the world while living life with more wisdom. Microsoft demonstrated the following technologies:

Security management such as access control systems

Windows Hello and 3D anti-spoofing technology strengthen the level of security protection. Windows Hello is a world-leading face verification system for unlocking devices developed by Microsoft. It adopts deep learning technology, allowing users to log into the system easily, quickly and securely without entering complicated passwords. 3D anti-spoofing technology is where Microsoft combines the latest deep learning neural network, a 3D depth sensor camera and its Azure cloud computing platform to create a powerful anti-spoofing system. This technology can enhance the security of biometric authentication systems such as access control, which further prevents malicious attacks from hackers.

Text recognition and digitization of paper documents:

Microsoft offers its state-of-the-art optical character recognition and receipt understanding technologies to enable the digital transformation of business operations. The system can identify the text content in receipts, business cards, invoices and other forms. Although the text may be distorted, faded, or blemished, they can still be accurately identified and processed according to the semantics of the text. In the future, various industries can apply this core technology to digitize paper documents or to enable scenarios such as digital government, smart factories and smart cities. Receipt understanding is a natural language processing technology developed by the Microsoft AI R&D Center in Taiwan. Assisted by optical character recognition, this technology enables computers to understand the complex structures and values in receipts and automatically summarize various receipt attributes. This advanced service that combines computer vision and natural language processing can help improve the efficiency of accounting and expense management.

 An injection of localized design and sustainable materials will create the ideal office environment for AI research and development.

The Microsoft AI R&D Center office is located in the prime location of the Xinyi District of Taipei with convenient transportation. Construction of the office space used selected materials and focus on environmental protection, green energy and integration into the local culture. It combines Taiwan’s unique humanity with Microsoft’s corporate culture. The space utilizes the unique features of Yingge pottery, symbolizing a profound history. River-simulation carpeting replicates the sophisticated, underlying beauty of Taiwan. The office is designed to meet the diverse needs of R&D personnel. For example, whiteboards can be seen everywhere in the office so that the R&D team can start brainstorming meetings and deftly discuss and document creative content at any time, inspiring more creative possibilities. A hotel-style lounge provides space for relaxation. The center also comes with nursery room, restrooms friendly to all genders, an accessible restroom and accessible meeting room. There’s a friendly working environment as well for women or for people with limited mobility.

  On the eve of its 30th anniversary, Microsoft Taiwan is pleased to announce that the AI R&D Center in Taiwan, which was established in 2018, is expanding and relocating, a year and a half after its grand opening. Microsoft continues to recruit top talent to build a world-class AI R&D community in Taiwan On the eve of its 30th anniversary, Microsoft Taiwan is pleased to announce that the AI R&D Center in Taiwan, which was established in 2018, is expanding and relocating, a year and a half after its grand opening.

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How to Get the Most out of Your Fashion Education

Explore BoF’s full report on The Best Fashion Schools in the World 2019 and the new methodology here.

LONDON, United Kingdom — BoF has unveiled its selection of the world’s best fashion schools, employing a new approach that does away with numerical rankings and focuses instead on helping students assess which programme will best prepare them for their chosen career in fashion.

The fourth edition of BoF’s assessment of global fashion schools maintains its rigorous statistical approach, incorporating feedback from 13,500 students and alumni, 66 schools and 115 recruitment and industry professionals.

In addition to this input, we formed the BoF Education Council, a committee of 12 global experts in fashion education and the fashion industry. They became our trusted guides as we sought to completely re-imagine how we analysed and presented our results.

Members of the BoF Education Council are:

Jane Rapley (Council Chair), Professor Emerita, Central Saint Martins; Bandana Tewari, Contributor, The Business of Fashion & Sustainability Activist; Christine Tsui, Fashion Business Consultant & Columnist; Emma Davidson, Owner & Managing Director, Denza; Floriane de Saint Pierre, Founder, Floriane de Saint-Pierre et Associes; Karen Harvey, Chief Executive, Karen Harvey Consulting Group & Founder and Chief Executive, Fashion Tech Forum and Indx; Linda Loppa, Honorary Doctor, UAL & Consultant, Linda Loppa Factory. Pamela Golbin, Former Chief Curator of Fashion and Textiles, Musée des Arts Décoratifs; Pascal Morand, Executive President, Fédération de la haute couture et de la Mode; Robyn Healy, Chair, International Foundation of Fashion Technology Institutes & Dean, School of Fashion and Textiles; Sara Kozlowski, Director of Education & Professional Development, Council of Fashion Designers of America; Sara Sozzani Maino, Deputy Director Special Projects & Head of Vogue Talents, Vogue Italia.

The council’s input was instrumental in developing this year’s new approach, methodology and shortlist of schools. BoF led a roundtable event with the council, extracting their expertise on the state of fashion education. Four important themes were tabled, and the council offered these key takeaways:

On Finding the Right School

Jane Rapley

“Remember [that] the course, not just the school, has to be right for you — it’s not always about you being right for the college. Many students try to talk themselves into what they think will be the best course — it’s no good doing that. The place has got to be right for you, because only then will you be able to learn successfully and grow.”

Christine Tsui

“It’s important for young students to first know why they are studying fashion design, because many design students like fashion design because they have a misunderstanding of the industry. They don’t really know what design means to them, before they apply to the schools.”

Sara Kozlowski

“Be mindful that outside of the design roles, there are a growing number of positions in digital commerce, digital marketing, tech, the new retail, and the direct-to-consumer frontier of that. Up to 70 percent of the positions we hear about in fashion are not design positions, and it’s a valuable [thing] for future talents to be aware of.”

Emma Davidson

“Think about what you are going to bring to your own learning experience. You have to be prepared to get stuck in and work hard. Going to a big-name school doesn't guarantee you a successful career. It's going to be not just creativity, but also good work ethic, communication and practical studio skills.”

On the Importance of Sustainability

Bandana Tewari

“People who have been in this dialogue for a long time are still grappling with ‘What does sustainability mean?’ No one has a uniform statement. I think the lack of a definition, that’s one of the biggest challenges right now. I appeal to the students of tomorrow to be slow thinkers, slow designers and make products with a great sense of purpose.”

Floriane de Saint Pierre

“I think that we should not only bring sustainability to fashion but also think about sustainable brands, companies and business models. It’s about the materials, production, the inclusive design, [but also about] how the employees in-house and outside are treated. It’s also the social responsibility of fashion academies.”

Sara Sozzani Maino

“If you want to open your own brand — there is no justification for doing a collection that is not sustainable or doesn’t give a message. We don’t need any more clothes, we are full of that — whoever wants to become something now, has to be something that will solve problems or reuse what is already there.”

Jane Rapley

“Talk to someone who’s studying finance or someone who’s studying economics or technology, or some scientist who’s got a great idea about a process which is going to help sustainability.”

On the Role of Technology

Robyn Healy

“Prospective fashion students need to be conversant with technology, but perhaps more importantly, develop an understanding and acknowledgement of its impact on people and the world.”

Sara Sozzani Maino

“High-tech and AI is something that is going to become bigger and bigger. That’s something that has to be communicated [with students] because it’s not an idea — it’s a fact. It’s something that goes together with responsibility.”

Pascal Morand

“Technology in fashion equally combines low-tech (intelligence of the hand), mid-tech (mechanisation) and high-tech (automation/robotisation). All this must be fully integrated in fashion education. Technology, however strong it is, must never deviate from its essential role: supporting design and creativity, the human factor.”

Christine Tsui

“As the education [most designers] receive is more artistic, I don’t think they like to read data and see numbers. All these requirements are new requests from the job market — this is what I see happening in China. They are driven to use data and how to let data tell you what products are selling better and why.”

On Starting Your Own Business

Sara Kozlowski

“If you have an entrepreneurial mindset, you can invent your own role. I think that it’s a really exciting time now, in terms of the relationship within education and industry, because graduates are in many ways leading the industry with solutions or mindsets around sustainable systems.”

Pascal Morand

“Have a crystal-clear vision of your project and of its competitive environment; be realistic in your business plan and innovative in your business model; constitute a strong and solid team; choose the right incubator to increase your expertise and networking potential. If your project is turned towards creative fashion, a golden rule of success is the balance of power between the designer and the manager.”

Jane Rapley

“I think one of the things that we don’t do enough of is actually expose our budding experts within our system, to talk with other budding experts. That’s how you build brands of the future, by enabling those young people to respect each other’s expertise and recognise that they all need each other if they are going to become successful.”

Floriane de Saint Pierre

“For all the designers, to be successful with their own brand, it’s about being a catalyst of society — it’s got to be something that is meaningful for the world, and I think that in that component, we need sustainability and inclusive design.”

Explore BoF’s full report on The Best Fashion Schools in the World 2019 and the new methodology here.

Source: https://www.businessoffashion.com/articles/education/how-to-get-the-most-out-of-your-fashion-education

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The best green innovations of the week

Each week, many eye-catching and potentially transformational innovations emerge that could help businesses and nations accelerate the transition to a low-carbon, resource-efficient economy. And each week, edie rounds-up six of the best.

This week’s innovations could drive significant sustainability progress across the catering, wine and EV sectors

In a week that has seen information on water scarcity pushed to the wider public as part of World Water Day, it is yet again important to realise that planetary boundaries are being pushed to the extreme.

Whether its England’s severe case of water stress or the inevitability of a sharp rise in Arctic temperatures, it seems the onus is on nations and businesses to reverse climate change at an accelerated pace.

Innovation will have a key role to play in this transition. Here, edie rounds up some of the low-carbon and resource-efficient innovations that could become vital tools in the global quest to combat climate change. Enjoy.

Clean power from ice cream waste

Regular readers of edie will be well aware of the negative carbon impact of food waste, and that the scale of the world’s food waste mountain is only set to grow without ambitious actions from all areas of society. But this waste is also a missed business opportunity, with around $1trn believed to be lost to the global economy due to a linear economy for foodstuffs every year – equivalent to 1.5% of the world’s GDP.

In order to recapture some of this value, Yorkshire-based ice cream manufacturer R&R (maker of Nestle’s Fab and Rowntrees’ Fruit Pastille Lollies) has partnered with waste management giant Veolia and financier Iona Capital to convert waste by-product from its manufacturing processes into clean energy. The solution involves sending the by-product to an anaerobic digestion facility, where it is placed in an oxygen-free container to break down naturally.

This chemical process involved in the container naturally produces biomethane, which will be sold to the National Grid and used to heat homes across the UK. The first of this biomethane will be sold this summer. R&R estimates that 25 tonnes of chocolate ice cream by-product processed in this way could heat one average home for a year.  

AI-enabled food waste bins

Also on the topic of food waste, London-based tech startup Winnow has this week revealed that a real-life trial of its digital bins for food waste across Ikea’s new Greenwich store has proven successful. Called Winnow Vision, the bin uses cameras, weighing scales, sensors and an artificial intelligence (AI) platform to measure not only the amount of food waste which is deposited, but which items are most commonly wasted.

The device is pre-programmed to recognise most common foods, but also has a machine learning function which enables it to “remember” other items which may be specific to certain businesses. In Ikea, for example, it can recognise the difference between the retailer’s meat and vegetarian meatballs and hotdogs.

Data collected through the bins is relayed to users via a digital platform, enabling firms across the food and drink, hospitality and leisure and retail sectors to track their food waste footprint in real-time. This enables buyers to better adjust the quantities and types of food they purchase, in order to minimise their food waste footprint, and can help sustainability professionals develop more targeted behaviour change schemes around food.

Air monitoring backpacks

Air quality has continued to hit the headlines in recent weeks, the UK’s Clean Air Summit in London last month having been compounded by a string of air pollution warnings across key towns and cities. The good news is that a number of innovative solutions which seek to mitigate the health impacts of airborne pollutants have begun to hit global markets or become more widely available, including air-filtering curtains, “breathing” CityTrees and pollutant-trapping t-shirts.

Building on this momentum, British engineering giant Dyson has developed a 1kg portable air quality sensor, which enables users can monitor their exposure to harmful particulates. In order to test the sensors in a real-world environment, the firm has developed a range of backpacks with them built-in and distributed the bags to primary-aged schoolchildren in five schools across Greenwich, Hammersmith and Fulham, Haringey, Richmond and Southwark. Data from the backpacks will be collected and monitored by researchers at Kings College London and shared with City Hall, so the Mayor of London can develop campaigns and policies which can help minimise the amount of exposure which children in the capital have to particulate matter (PM2.5 and PM10) and nitrogen dioxide (NO2).

The trial, which was jointly developed by City Hall and C40 Cities, will run for three months. It is being delivered by a consortium led by the Environmental Defense Fund Europe (EDFE) and is mostly funded by the Children’s Investment Fund Foundation.

Climate-positive wine

Sustainability professionals who like to enjoy a tipple have been in luck in 2019 so far, with recent sustainable beverage announcements having included a new closed-loop gin made from grape waste and a fresh sustainable coffee sourcing pledge from Kahlua.

Continuing this trend, Californian vineyard group Bonterra Organic has revealed that it is developing a “climate-positive” farming and manufacturing process for wine. The method involves using pesticide-free and water-efficient agriculture practices which boost soil quality, therefore boosting the soil’s carbon sequestering properties to the point that it offsets emissions at other stages of wine production.

Specifically, the regenerative model involves applying organic compost, planting cover crops and planning sheep grazing. At the same time, Bonterra runs a series of wildlife and biodiversity conservation programmes, keeping around half of the vineyard in a “natural state”. A similar model of regenerative farming has previously been used by the North Face, which now sells garments made from “climate-positive” wool.

Grid-balancing EV chargers

It’s been a big week for electric vehicle (EV) infrastructure news here at edie, with Jaguar Land Rover (JLR) unveiling a “smart” charging network at its Gaydon facility, Toyota confirming plans to host a hydrogen refuelling “hub” in Australia and pan-European charging network IONITY providing a progress update on its mission to electrify long-distance journeys across the continent.

It is timely, then, that the edie newsdesk also received information this week regarding a new isolation transformer technology which claims to minimise the risk of open-circuit faults within charging systems, while helping grids cope with increased power demands due to EV charging. Is Developed by Staffordshire-based electrical solutions firm Matt:e and called the O-PEN, the device is able to detect load imbalances and level them by isolating the incoming supply either as a whole, or in separate loads.

Each of the units is capable of supporting up to three 32amp EV charging points. Matt:e claims that the technology could be used to support caravan hook-ups, mobile power generation and buildings used within the agriculture sector as more renewables come onto the grid.

NASA-certified showers

With today (22 March) being World Water Day, and with the chair of the UK’s Environment Agency having recently warned that England could run short of water in 25 years, water stewardship will undoubtedly be at the forefront of many edie readers’ minds this week.

To compound the actions being taken by policymakers and businesses to tackle the challenges surrounding water stress, innovations in this space are also emerging at a pace. Previous editions of this roundup having featured technologies such as waterless toilets, desalination gel and water-efficient textile dyes.

A more recent launch is that of the Oas shower, which claims to use up to 90% less water and 80% less energy than conventional models. Developed by Swedish startup Orbital Systems, the device deposits just under three litres of purified water during a ten-minute shower. “Smart” sensors within the shower, connected to the cloud, analyse the running water 20 times per second, enabling the dirty water to be pumped up for cleaning and reheating before being recirculated to the shower head.

At the end of the shower cycle, the water is captured by the device for re-purification and reheating. Real-time information regarding how much energy and water the user has saved by using the product is relayed via a digital interface in the shower control, which is lit using LED technology.

The shower recently launched commercially across the US and EU markets and is available to both business and domestic customers, following certification from NASA. Orbital Systems claims the technology is suitable for hospitality and leisure firms, property developers, individuals and companies which produce camping solutions.

Sarah George

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Artificial Intelligence: Opening New Vistas

The rapid expansion of technology and digital applications that characterises the ‘4th Industrial Revolution’, is changing the way we live, work – and learn. It’s a revolution driven by the fusion and amplification of emerging breakthroughs in artificial intelligence, automation and robotics, and multiplied by the far-reaching connectivity between billions of people with mobile devices that offer unprecedented access to data and knowledge. Autonomous vehicles, cloud computing, robotic nurses and surgeons, chat bots etc. are manifestations of this growing trend.

Online shopping, online games, email, social networking and media sites all have AI embedded into their applications, and the list of products and services continues to grow. Homes, cars, and financial and healthcare services are embracing machine learning to improve products and services.

Education systems, teachers and curricula need to be responsive to these changes. The 4th IR creates a demand for new skills and competencies, while automation and AI puts jobs at risk. This then creates a need to train and retrain people to utilise new technologies. National education systems have the opportunity to focus in on and hone inherently human competencies that are crucial in this rapidly shifting environment, such as problem solving, communication, critical thinking and collaboration.

Technologies, such as AI, can be utilised to support formal education and lifelong learning by promoting the development of adaptive learning environments, with tools that are flexible, inclusive, personalised and engaging. Examples include blended learning spaces where digital technologies and traditional classroom activities complement each other, and personal AI tutors that can strengthen inclusiveness by providing intelligent support specifically tailored for each learner’s needs. However, AI tools lack the socio-emotional interactive communication skills that teachers can use to get the best out of their students. To maximise its potential, education systems must not get seduced by technology; the focus should be on learning.

CAREERS IN AI

A career in artificial intelligence can be realised within a variety of settings including private companies, public organisations, education, the arts, healthcare facilities, government agencies and the military.

Examples of specific jobs held by AI professionals include – software analysts and developers, computer scientists and computer engineers, algorithm specialists; research scientists and engineering consultants; mechanical engineers and maintenance technicians; manufacturing and electrical engineers; surgical technicians working with robotic tools; Medical health professionals working with artificial limbs, prosthetics, hearing aids and vision restoration devices; military and aviation electricians working with flight simulators, drones and armaments; graphic art designers, digital musicians, entertainment producers, textile manufacturers and architects; post-secondary professors at technical and trade schools, vocational centers and universities.

SKILL REQUIRED FOR AI

Automation, robotics and the use of sophisticated computer software and programs characterise a career in artificial intelligence. Candidates interested in pursuing jobs in this field require specific education based on foundations of mathematics, technology, logic and engineering perspectives. Written and verbal communication skills are also important to convey how AI tools and services are effectively employed within industry settings.

To acquire these skills, those with an interest in an AI career should investigate the various career choices available within the field.

The most successful AI professionals often share common characteristics that enable them to succeed and advance in their careers. Working with artificial intelligence requires an analytical thought process and the ability to solve problems with cost-effective, efficient solutions.

It also requires foresight about technological innovations that translate to state-of-the-art programs that allow businesses to remain competitive. Additionally, AI specialists need technical skills to design, maintain and repair technology and software programs. Finally, AI professionals must learn how to translate highly technical information in ways that others can understand in order to carry out their jobs. This requires good communication and the ability to work with colleagues on a team.

So what are the educational requirements that students need to look at for a career in Artificial Intelligence?

Basic computer technology and a background in mathematics form the backbone of most artificial intelligence programs. Entry level positions require at least a bachelor’s degree while positions entailing supervision, leadership or administrative roles frequently require masters or doctoral degrees.

An AI coursework involves the study of the following:

Physics, engineering and robotics

Computer science, programming languages and coding

Cognitive science theory

Mathematics including probability, statistics, algebra, calculus, logic and algorithms

Bayesian networking or graphical modeling, including neural nets

Candidates can find degree programs that offer specific majors in AI or pursue an AI specialisation from within majors such as computer science, health informatics, graphic design, information technology or engineering.

AI and machine learning involve software that has been programmed to interact with the world in ways that would otherwise be thought of as human. AI depends on knowledge about the world as well as programs or algorithms to intelligently process that knowledge.

Today, most AI programs are specifically coded to do one task. This sparks fears of the ‘singularity’ of AI, where the technology will be able to redesign and improve itself, or design more powerful AI, a popular theme in science-fiction books and films, such as Terminator, I, Robot, and 2001: A Space Odyssey.

Ethical questions are raised, not only around how we utilise AI, but the ethics of such technologies. One fear is that these technologies will centralise power, deepening inequality. Depending on how AI has been programmed, it may analyse a situation and implement solutions detrimental to people or the environment.

Since AI is a reflection of its creators and those who have programmed it, we need to make sure that these technologies are aligned with our moral and ethical values.

Despite these concerns, AI holds immense potential for students for an interesting and rewarding career. From its inception in the 1950’s through the present day, artificial intelligence continues to advance and improve the quality of life across multiple industry settings.

As a result, those with the skills to translate digital bits of information into meaningful human experiences will find a career in artificial intelligence to be sustaining and rewarding.

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