CES 2024 Recap

The Consumer Electronics Show (CES) 2024 concluded with over 135,000 attendees from 150 countries, featuring 4,300 exhibitors, including over 1,400 startups, and over 1,000 speakers across 250 sessions.

What is CES?

CES is a highly anticipated trade show that sets technology-related expectations for the year. While it has a history of iconic product reveals, not all showcased tech succeeds in the market.

This year, attendees presented a range of innovations, from state-of-the-art televisions and smart devices to computers, cars, spatial computing, and more.

CES Highlights

  1. TVs:
    – LG introduced a 77” transparent 4K OLED TV, LG Signature OLED T, which is see-through when turned off.
    – Samsung also presented transparent OLED, MicroLED, and LCD TVs, with MicroLED being particularly notable for its design and brightness.
    – Both companies showcased innovative features, such as LG’s wireless tech for audio-visual transmission.
  2. NVIDIA Special Address:
    – NVIDIA announced new graphics cards at CES 2024, including GeForce RTX 4080 Super, RTX 4070 Ti Super, and RTX 4070 Super, with a focus on gaming and local AI development.
    – NVIDIA showcased a broad spectrum of AI software for various use cases, establishing itself as a key enabler of AI with partnerships across sectors.
  3. Semiconductors by AMD, Intel:
    – AMD introduced the Ryzen 8040 series mobile processors with integrated graphics and XDNA AI neural processor unit.
    – Intel unveiled five new 14th Gen Core HX platforms, indicating a focus on mobile computing chips in the semiconductor battle.
  4. AI:
    – AI was a significant focus at CES 2024, with innovations like the rabbit r1 device aiming to enhance human interaction with smartphones through a unique approach.
    – OpenAI’s ChatGPT was preinstalled in Volkswagen vehicles, and Amazon showcased its generative AI-driven Alexa with improved conversational skills.
    – DeepBrain AI unveiled Dream Avatar, a video synthesis technology allowing users to create lifelike AI avatars with a single image and a short voice recording.
    – Barsys introduced an AI-powered cocktail subscription service that adapts to individual preferences for a personalized cocktail experience.
    – Apple Vision Pro’s looming release led to alternatives like Xreal Air 2 Ultra Glasses and RayNeo X2 Lite AR Glasses showcasing their unique features.
    – Honeywell partnered with NXP Semiconductors to use AI for energy management, enhancing building autonomy and energy efficiency.
  5. Robotics:
    – Samsung’s updated Ballie, a personal home assistant, now features a projector and connects to home appliances for a personalized experience.
    – LG introduced an AI agent for a “Zero Labor Home” experience, performing housekeeping tasks using LG’s ThinQ smart home platform.
  6. Health Tech:
    – CES 2024 featured smart rings from RingConn and Movano Health, offering health tracking capabilities, including menstrual cycle tracking and injury recovery data.
    – Mynd Immersive unveiled the Great American Elderverse, a VR destination for promoting the health of older adults.
    – CERAGEM showcased spinal therapy and wellness products in the home healthcare tech category.
  7. Devices, Peripherals, and Accessories:
    – Notable products include Samsung’s Concept Flip Phone, ASUS ROG Phone 8 with a new form factor, Sony’s mixed reality headset for spatial computing, ASUS foldable portable monitor, and a Clicks keyboard for iPhones resembling BlackBerry phones.

The 10 Most In-Demand Skills In 2024

In the context of the immediate future, businesses are transitioning towards skills-based recruitment and workforce development to unlock the transformative potential of new technologies.

The crucial question arises: for jobseekers and employers aiming for success in 2024, what skills should be developed?


In the evolving AI age, the most in-demand skills fall into two categories: those enabling the use of frontier technology and tools, and those maximizing human qualities that machines cannot match.

The following ten skill sets are considered valuable for the next 12 months and beyond:

  1. Generative AI: Skills to utilize generative AIs effectively, leveraging opportunities, managing change, and addressing ethical implications.
  2. Sustainability Skills: Abilities to identify and implement green solutions, reflecting the growing importance of sustainable business practices.
  3. Project Management: Skills to oversee and coordinate people, technology, and problem-solving, with AI tools offering assistance.
  4. Communication Skills: Proficiency in effective communication, interpreting data analytics, and interacting with machines in natural language.
  5. Clinical Healthcare Skills: Human qualities like emotional intelligence and empathy that are critical in healthcare, where full automation is distant.
  6. Data Skills: Expertise in transforming data into value and ensuring transparency and explainability for ethical AI use.
  7. Interpersonal Networking: Building networks based on trust and common goals, critical for personal development and growth opportunities.
  8. Cloud Computing Skills: Technical proficiency in assisting businesses with cloud migration amid the growing global demand for cloud services.
  9. Machine Learning Engineering: Technical skills to implement AI, remaining in high demand despite advancements in generative AI and self-replicating AI.
  10. Cybersecurity Skills: Skills related to building security and resilience to counter the increasing frequency and severity of cyber threats.

These skill sets are expected to be valuable in navigating the evolving landscape of technology and work in 2024.

How Artificial Intelligence (AI) is Transforming Education

Artificial Intelligence (AI) plays a significant role in transforming and enhancing the field of education through EdTech.


“We need technology in every classroom and in every student and teacher’s hand, because it is the pen and paper of our time, and it is the lens through which we experience much of our world.”

David Warlick


Here are several ways AI contributes to the evolution of education:

  1. Personalized Learning: AI algorithms analyze individual students’ learning patterns, strengths, and weaknesses. Based on this data, AI can provide personalized learning experiences, adapting content and pace to meet the specific needs of each student.
  2. Adaptive Learning Systems: AI-powered adaptive learning platforms adjust in real-time to a student’s progress. As a student engages with the material, the system continually assesses performance and tailors the content to ensure optimal learning outcomes.
  3. Intelligent Tutoring Systems: AI can serve as a virtual tutor, providing immediate feedback and assistance to students. Intelligent tutoring systems use natural language processing and machine learning to understand student queries and offer targeted support.
  4. Automated Grading and Assessment: AI automates the grading process, reducing the burden on educators and providing faster feedback to students. Machine learning models can evaluate assignments, quizzes, and exams, ensuring consistency and efficiency in assessment.
  5. Predictive Analytics: AI analyzes data to identify patterns and predict student performance. Educators can use these insights to intervene early and provide additional support to students who may be at risk of falling behind.
  6. Language Processing for Language Learning: AI-driven language processing tools enhance language learning experiences. These tools can assist with pronunciation, grammar correction, and language comprehension, making language learning more interactive and effective.
  7. Virtual Classrooms and Intelligent Assistants: AI enables the creation of virtual classrooms with features such as automated attendance tracking, virtual discussions, and intelligent assistants that help manage administrative tasks and answer students’ queries.
  8. Gamification and Interactive Learning: AI enhances gamified learning experiences by adapting game scenarios based on individual progress. This makes learning more engaging and enjoyable for students, promoting active participation.
  9. Content Creation and Curation: AI algorithms assist in creating and curating educational content. From generating quizzes to recommending relevant learning materials, AI streamlines content creation and ensures its alignment with curriculum objectives.
  10. Professional Development for Educators: AI supports educators in their professional development by providing insights into teaching methodologies, suggesting improvements, and offering resources to enhance their instructional skills.
  11. Automated Feedback for Writing Assignments: AI-driven tools can provide instant feedback on writing assignments, focusing on areas such as grammar, style, and content. This helps students improve their writing skills and encourages iterative learning.
  12. Facial Recognition for Student Engagement: AI-powered facial recognition systems can gauge student engagement during virtual classes, providing feedback to educators on participation levels and identifying potential areas for improvement.

The integration of AI in EdTech not only automates routine tasks but also revolutionizes the learning experience by tailoring it to the unique needs and capabilities of each student.

As technology continues to advance, AI will likely play an increasingly vital role in shaping the future of education.

How Amazon Utilizes AI During the Holiday Season

Amazon utilizes artificial intelligence (AI) extensively throughout its operations, especially during the holiday season. Scot Hamilton, Vice President for last-mile delivery routing and planning technology at Amazon, describes AI as essential, working seamlessly from the moment a customer places an order to the delivery at their doorstep.


“We make countless decisions every day, and we want to make even better versions of those decisions. AI continually helps us improve day after day, minute after minute, so we can take packages to our customers in safer, better, and more efficient ways.”

Scot Hamilton, vice president for last-mile delivery routing and planning technology at Amazon


Ways Amazon utilizes AI:

⚫ Amazon’s Supply Chain Optimization Technology (SCOT) uses deep learning to forecast demand for over 400 million products daily, deciding on inventory quantities and locations across Amazon facilities.

⚫ The introduction of transformer technology enhances forecasting accuracy, allowing Amazon to stock a broader selection of products efficiently.

⚫ AI-enabled robots equipped with machine vision play a crucial role in Amazon’s fulfillment centers. These robots recognize, sort, and inspect diverse goods, ensuring faster processing and delivery.

⚫ Generative AI is used to simulate scenarios, helping train machine learning models for peak periods like Cyber Monday.

⚫ A robot named “Robin” utilizes AI-enhanced vision to categorize and handle items before loading them onto delivery trucks.

⚫ AI helps predict and manage unexpected events, such as changes in delivery schedules or adverse weather conditions. AI is crucial in route optimization, employing over 20 machine learning models to make real-time decisions for efficient and safe deliveries.

AI brings constant improvement to Amazon’s operations, enabling better decision-making for delivering packages in safer, more efficient ways.

Learn more HERE.

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