The Future in Tech

Ray Villalobos

The Future in Tech is a weekly series from LinkedIn Learning hosted by Senior Staff Instructor Ray Villalobos. You can watch it on LinkedIn every Thursday at 2pm ET, 11am PT. The goal of this series is to spark conversations, provide practical tips and resources to help developers work, learn, and tackle challenges related to working in the technology industry. We're talking about Generative AI tools like ChatGPT, Dall-E*2, Hugging Face by talking to some of the leaders delivering the tools, strategies and technologies that make working in technology exciting. We'll discuss how they broke into technology, business strategies, ethical concerns and technical skills. You have a chance to hear from people who are not just talking about, but building the next generation tools like Open AI and leaders who've worked for and with Fortune 500 companies like Microsoft, Google, LinkedIn, IBM, Open AI and more. read less
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Episodes

Cracking the Job Hunt Code: Strategies Beyond the Conventional-- with Nick Singh
Jul 23 2023
Cracking the Job Hunt Code: Strategies Beyond the Conventional-- with Nick Singh
Applying for job opportunities goes beyond simply submitting applications through company websites or job boards. It involves reaching out directly to hiring managers and recruiters through cold emails or cold direct messages (DMs), presenting a personalized pitch and highlighting why you are a suitable candidate for the position. By proactively connecting with professionals on platforms like LinkedIn and requesting informational interviews, you can distinguish yourself from other applicants who rely solely on the applicant tracking system (ATS) screening process. Breaking into Google: The Power of Persistence Nick shared his experience of landing a job at Google. Despite being an intern at Microsoft in Seattle while an opportunity with Google's Nest Labs arose in San Francisco, Nick decided to RSVP to the event and not attend physically, ensuring his resume would be on file. A month later, Google contacted him, expressing interest and initiating the interview process. However, there was a period of silence, so Nick followed up with multiple emails. His persistence paid off when the recruiter scheduled his first interview. This experience taught Nick two valuable lessons: the importance of exploring alternative application channels and the significance of tenacity when advocating for oneself. It's really funny how much just caring a little bit can be a competitive advantage Common Misconceptions about Technology Interviews Some people believe that it is impossible to prepare for these interviews, assuming that anything can be asked, or that a high GPA or strong academic background is sufficient. Nick emphasizes that interviewing is a distinct skill, separate from academic performance or technical expertise. For software engineering roles, interviews often focus on data structures and algorithms, and resources like the book Cracking the Coding Interview. Data science interviews tend to be more open-ended, making preparation more challenging due to the diverse range of topics involved, which is why Nick wrote his own book Ace the Data Science Interview. Nick dispels the notion that preparation is unnecessary, highlighting the existence of common patterns, strategies, and frameworks that can be applied to tackle the most frequently asked questions in these interviews. He encourages exploring opportunities across the board without worrying about the company's size. Nick has enjoyed working in startups, experiencing roles in data product and evangelism, etc. While big companies offer attractive perks, the startup environment holds a special place in his heart, which is evident in his own venture, datalemur.com. The key to success lies in the effort put into the job and projects, along with dedicating additional time outside of work to continuous learning. Next Episode: The Transformative Power of Data and AI Join us as we explore the transformative power of data science and AI with Walter Shields, a renowned data expert, author, and educator, uncovering the history, innovations, and future implications of these fields. Get a notification for this episode The Realities of Cold Emailing Cold emailing means reaching out to individuals you don't know. Ensure that your message is relevant, friendly, and demonstrates effort. Grab attention and establish a personal connection. Highlighting shared interests or achievements, you can capture their attention and increase the chances of forming a meaningful connection. Simply stating, "I want a job," is unlikely to stand out. You gotta show that you're response worthy. Cold emails only work when you put in the work previously and you put out work, especially if you've done work in public Cold email tactics are not a guaranteed solution and won't yield positive responses every time. It's a numbers game, and rejection is common, even for someone with internships at Google and experience running a startup. However, even if the majority of people ignore your emails, if one out of ten responds positively, it can lead to significant opportunities, such as informational interviews or referrals. Cold emailing is more effective when you have a solid foundation of portfolio projects and accomplishments to showcase. Reaching out without any prior work experience or projects is unlikely to yield results. Having a public presence, such as publishing articles on Medium, sharing code on GitHub, or creating popular data visualizations, increases the chances of getting noticed and receiving a positive response. Without these accomplishments, it's best not to solely rely on cold emails as a means of securing opportunities. More of The Future in Tech   The Future in Tech PageEpisode Newsletter/Show NotesEpisode GuideYouTube PlaylistPodcast Feed - Audio Only Showcasing Work Publicly and Making an Impact When sharing your work, it's crucial to ensure it is public and provides relevant information. Data analysts can make an impact by creating dashboards using tools like Tableau and making them public. Aligning portfolio projects with desired industries or personal passions demonstrates enthusiasm and commitment to potential employers or collaborators, making individuals stand out. By connecting personal passions with projects, individuals can highlight their diverse interests and showcase their commitment to data and technology. Through discussing the features, algorithm, development using Spotify data, and passion for music and data, individuals can convey enthusiasm and engage others. Sharing personal stories, helps establish connections and likability, even if the projects are not directly related. Demonstrating passion sets individuals apart in the eyes of potential employers or collaborators, as it showcases a level of commitment beyond mere interest in data. Beyond the First Job Maintain enthusiasm and avoid becoming jaded. Even a small amount of care can be a competitive advantage. Find ways to stay engaged and excited about the work and company vision. Embrace a flexible mindset, as today's job market allows for rapid job switches and title changes, especially in the data field. One's career can extend beyond the nine-to-five job, encompassing activities such as teaching courses, publishing books, hosting podcasts, contributing to open-source projects, and offering consulting services. The modern world's opportunities, fueled by social media and blogging, enable individuals to pursue multiple avenues of income alongside their full-time jobs. Embracing Side Projects and Building Confidence Undertake side projects related to one's job. While good managers may grant some time for such endeavors, often individuals need to find extra time to pursue them. Demonstrating ideas is crucial for gaining support and recognition. Additionally, taking on long-term projects and maintaining an attitude of experimentation and adaptability brings excitement and fosters progress. Transitioning from engineering at Facebook to becoming a content creator and data expert, the speaker shares how sharing career advice on LinkedIn gradually built a substantial following. With 50,000 followers, they gained the confidence to write a book. Similarly, engaging in small initiatives that gradually snowball can lead to unforeseen opportunities. Visualizing the potential and taking small steps consistently helps build confidence, not just for others but also for oneself. Episode Index   00:23 Introduction and Expert Interview Prep03:02 Applying for Tech Jobs and the Power of Persistence05:16 The Misconceptions of Technology Interviews06:29 The Importance of Preparation for Interviews07:36 The Role of Portfolio Projects in Job Applications08:50 Leveraging Passion and Personal Projects in Interviews10:55 The Flexibility of Career Paths in the Modern World12:17 The Power of Cold Emails and Cold DMs in Job Search15:30 The Impact of AI Tools in Development Processes39:31 Interview Questions for Data Science Positions47:54 Introduction to Data Lemer and its Resources49:06 The Story of Data Leemer49:39 Finding the Right Culture Fit50:40 Balancing Culture Fit and Career Growth52:06 Importance of Networking and Connections53:31 Overcoming Reserved Behavior in Developers54:49 Thoughts on AI in the Industry55:00 The Future of Jobs with AI56:08 Optimism and Concerns about AI57:21 Lessons from History and Staying Open to Opportunities58:13 Focusing on Personal Skills and Creating the Future Episode Links   DataLemur - Data Science InterviewsStack Overflow Developer Survey 2023RapStock.io - Nick Singh PortfolioCracking the Coding InterviewAce the Data Science Interview
Exploring Dark Data and AI's Influence: A Deep Dive with Data Science Expert Walter Shields
Jul 11 2023
Exploring Dark Data and AI's Influence: A Deep Dive with Data Science Expert Walter Shields
Exploring Dark Data and AI's Influence: A Deep Dive with Data Science Expert Walter Shields The Future in Tech-Powered by LinkedIn Learning 1,199 followers July 10, 2023 In this episode, I talked to Walter Shields, an influential data science expert and passionate teacher. Walter shares his journey in the field, the rising role of Artificial Intelligence, the concept of 'Dark Data', and the evolving landscape of technology in media. His unique insights provide listeners with an enriching perspective on the current state and future direction of data, AI, and media. Walter Shield's Journey and Teaching Passion Walter delved into his personal background (00:59) and the series of events that led him to immerse himself in the world of data and databases. As he found his feet in this new field, he discovered a strong passion for teaching and sharing his newly acquired knowledge, which manifested in a Meetup group (02:38). The surprising success of his Meetup group drew a large audience, affirming his belief in the widespread interest in data learning (07:29). "Those meetups, I got to tell you, they opened my eyes and it's a critical component to really get out in that space and meet others" He expressed his deep-seated desire to make learning about data accessible and interesting. Walter placed a strong emphasis on the qualities of a good teacher, particularly the ability to approach topics from various perspectives (14:49). As he shared his journey, he shed light on his fascination with SQL and its limitless possibilities (16:27). Next Episode Explore the transformative impact of AI and data in advertising and media as we talk with Danny Ma, Principal AI Engineer at Lumos, who shares his expertise in data science and its applications in the industry. Get a Notification AI's Impact and Data Science Evolution Walter explored the profound effect of AI on the data realm starting at 17:15. He discussed the industry's evolution from traditional data analytics to more advanced data science techniques, highlighting the importance of domain expertise (20:30). "Data science allowed us to now stop looking backward and start looking forward" Addressing the surge in data volume and its related challenges (21:41), Walter turned to the transformative potential of AI in hiring processes (23:25). He contemplated AI's capacity to eliminate biases, thereby fostering diversity in the workplace (24:58). More of The Future in Tech   The Future in Tech PageEpisode Newsletter/Show NotesEpisode GuideYouTube PlaylistPodcast Feed - Audio Only The Intersection of Technology, Media, and Education The dialogue moved to the interplay of technology and media at 29:39. We reflected on how technology has revolutionized news and radio, touching on the democratization of media and the role of younger generations (31:57). " It's not what the invention is, it's what it's being used for. Who is actually using it and for what? " He pointed out that technology's impact goes beyond media consumption, creating opportunities for innovative content creation and distribution (34:06). Amid advancements, Walter emphasized the need for accountability and a comprehensive AI education (28:25). Dark Data, AI, and Data Science Walter introduced the concept of dark data, marking a new phase in data exploration (39:13). "It's like tapping into these sources that were just piled upon logs and so forth, unstructured data, to some extent, archived data, things like that." With AI's continued development, he suggested that the data science field would undergo significant transformations (44:28). Beyond data, Walter discussed AI's impact on life-changing scenarios, its reach into social media, and its role in sentiment analysis (47:49). He further highlighted AI's significance in tailoring marketing campaigns and its relevancy across diverse industries (52:11). Episode Links   Importance of Data Scientists in AI eraSurvey: AI's Role in Company InterviewsPublic Perception and Fears about AIDark Data: Next Step in Data AnalyticsOverview of Walter Shields' CoursesAI's Precision in Detecting Lung Cancer Episode Index   01:00: Walter Shield's Background and Journey02:38: Falling into Data and Working with Databases04:06: Finding Passion for Teaching and Opening a Meetup Group05:22: The Value of Meetups and Making Connections06:33: Acknowledging Global Audience07:29: The Surprising Success of the Meetup Group08:55: Passion for Simplifying Data Learning09:57: The Learning and Teaching Component13:48: Importance of being a good teacher14:51: Approaching topics from different perspectives16:29: The power and creativity of SQL17:17: AI's impact on the world of data18:57: Evolution of data analytics to data science20:30: Leveraging domain expertise in data science21:41: The increasing amount of data and its challenges23:25: Integrating AI in the interview process24:58: AI's role in removing biases in hiring27:25: The importance of educating about AI29:38: The opportunity to educate30:39: Impact of technology on news and radio31:57: The democratization of media32:33: The younger generation's relationship with technology34:06: Technology creating more opportunities34:51: The future of technology and global connections35:57: Balancing accountability and technological advancement37:15: The evolution of editing and AI tools38:09: Encouraging exploration and closing generational gaps39:31: The progression of data exploration and dark data43:08: Introduction to Dark Data44:09: AI's Impact on Data Science46:29: AI's Role in Life-Changing Scenarios47:51: AI's Influence on Social Media49:20: Importance of Sentiment Analysis50:51: AI's Role in Tailoring Marketing Campaigns53:22: AI's Relevance in Various Industries54:18: Walter Shields Data Academy Overview55:46: Benefits of Live Cohort Classes57:07: Explore WSDA News and Skill Dojo57:55: Introduction and gratitude58:42: Ways to access more information about the show59:43: Preview of future episode with Jack Ma