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As an introvert, I dread large conferences. I get invited to a number throughout the year, and I usually scramble to find excuses for why I cant attend. Since I have spent much of my career posing as an extrovert, some people are surprised to discover that I really dont enjoy networking at large gatherings. I worry about feeling overwhelmed by the crowds, not remembering peoples names, having to sit alone for meals, drawing a blank and not being able to engage in small talk, and, of course, worried I wont know anyone there. Just thinking through all of this is absolutely exhausting. Last year, I was invited to speak and attend Transform, a conference focused on driving innovation in the workplace. The same dread took over me as I committed to attend. And after spending a few days in Las Vegas with a few thousand attendees, I think I finally cracked the code for myself on how to approach large conferences as an introvert. So this year, as I prepare to attend again, I have a game plan to get the most out of this conference. Heres my advice on how to navigate and network at large conferences. Plan your days in advance, including who youll talk to Now, I prepare for the conference weeks before I even arrive. If possible, I try to stay at the hotel where the conference is taking place. And if not, as close as possible. I take a look at when the conference begins and when it ends, and I study the agenda topics and list of sessions. I take a note of the speakers and who is attending and see if I see any familiar faces. If available, I use the conference app to keep track of the sessions I want to attend and message and connect with people before the conference. I also check if any colleagues or friends are attending the conference, what days, and coordinate travel and even share Ubers to and from the airport. Last year, I planned to meet a friend who was also attending in the lobby in the mornings and walked to sessions together, and when I was feeling anxious I texted her to grab a coffee or snack. We also walked out of the conference at the end of the day and grabbed a drink. I was happy to have a buddy I could rely on when I was feeling out of place or overwhelmed by the crowds. Find the super connectors While large conferences can be intimidating, I also want to push myself to meet new people. I set a goal of meeting at least three new people a day. This can be daunting if you feel uncomfortable walking up to a stranger or breaking into a circle of people and introducing yourself. My plan now is to find the super connectors and have them help me meet new people. I try not to apply expectations on what these introductions could lead to. Some of these new people I have a lovely interaction with and we dont connect again. And some of these new people I hit it off with and we stay in touch post conference. My friend Dinah Alobeid, a communications executive, is a super connector who knows a variety of people across sectors and industries. She had me grab a coffee with her and then invited me to stand with her and her team at the Greenhouse booth in the exhibitor area. It was an easier way to meet people who came to their booth, as opposed to going around the large area alone and trying to force myself to stop and booth after booth after booth and make small talk (I did do that later, and of course brought my friend Sarah along.) My friend David Landman, an human resources executive, is also a super connector who seems to make friends wherever he goes. He plugged me into all the social events that were happening. He also found me the very first morning of the conference during a break and introduced me to people. He then got me invited to lunches, happy hours, and dinners so I didnt have to worry about who to meet with and if I would be sitting alone. He even met me in the lobby so we could walk over to evening events together. I felt so much more at ease not having to enter rooms alone where I may not know anyone. Prioritize time to decompress Finally, I stopped putting pressure on myself to do every single thing at the conference. Theres so much happening at a large conference like Transform you can want to make the most of it and take advantage of everything being offered. The first year I went, I tried to do it all, and left feeling exhausted and depleted. Now, I dont pressure myself to attend every single session. I take breaks, I grab a coffee and go and recharge for a few minutes alone. I usually have my journal with me to take notes. I also go back to my hotel room to freshen up or sit in the quiet and recharge before heading back downstairs. I give myself permission to leave when I want to. I also find by doing this, I am much more present and attentive when I am at the conference and one on one conversations. One evening, I wasnt feeling great and couldnt make it out to dinner plans. My friend Sally Wolf, a wellbeing advisor and keynote speaker, invited me to come to her hotel room, and join her and her friend Danielle Farage, a speaker on Generation Z corporate talent. I was hesitant at first to go, and then felt at ease as soon as I walked into their room. We nibbled on snacks and chatted for over an hour. It was great to connect with conference attendees in a more informal, casual setting. With preparation and pre-planning, with the help of super connectors, and prioritizing time to decompress, large conferences dont have to be an introvert’s worst nightmare. In fact, now with my plan in place, I am excited to attend Transform and other large conferences this coming year. I am on a mission to learn and open my mind to topics, be present and share my expertise and knowledge, and hopefully make at least one or two new friends along the way.
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E-Commerce
In another devastating blow to customers and employees of Joann Inc., the popular fabric and crafts retailer is moving to close a significant chunk of its brick-and-mortar locations as part of ongoing bankruptcy proceedings, according to a court filing on Wednesday. The company, which filed for Chapter 11 protection a second time last month, had initially said it would continue operating its approximately 800 stores as it restructured and sought a buyer. However, it told a court this week that it has now identified a number of underperforming locations during the bidding process that it wants to close as a way of cutting costs. “As the sale process progressed, and prospective bidders continued to conduct diligence and refine their potential bids, the Debtors and their advisors were able to identify a subset of underperforming stores that are unlikely to be considered or included in any going concern bid,” lawyers for the retailer said in the court filing. The filing lists hundreds of locations across more than 40 states, with big states like California, Florida, Illinois, and Michigan being hit the hardest. Joann says in the filing that it would like to begin store closing sales immediately. It warns that additional locations are likely to close as well. Reached for comment by Fast Company, Joann spokesperson Amanda Hayes confirmed the closings in a statement. “As part of the ongoing Chapter 11 process and our efforts to maximize the value of the business, JOANN has filed a motion seeking court authority to begin closing approximately 500 stores across the nation,” the statement read. “This was a very difficult decision to make, given the major impact we know it will have on our Team Members, our customers and all of the communities we serve. A careful analysis of store performance and future strategic fit for the Company determined which stores should remain operating as usual at this time. Right-sizing our store footprint is a critical part of our efforts to ensure the best path forward for JOANN.” A difficult needle to thread Founded in 1943, Joann has faced significant challenges in recent years, with factors such as the pandemic, inflation, and the broader shift to online retail hindering its operations. It was taken private last year when it filed for bankruptcy a first time, but it said at the time that it expected to continue operations once it emerged. A second bankruptcy came at the beginning of this year. Although Joann told customers that stores would remain open during the process, it warned that it could go out of business if it is unable to find a suitable buyer. Gordon Brothers, the restructuring firm that recently took control of embattled retailer Big Lots, has emerged as a “stalking horse” bidder for Joann. If it is successful, the firm is likely to liquidate and close all stores. This story is developing….
Category:
E-Commerce
Im not sure who first compared ChatGPT to Cliff Clavin, the garrulous mailman/barfly from TVs Cheers. Its so an apt comparison that many people probably came up with it independently. Cliff did know a lot of stuffafter all, he was a Jeopardy almost-winner. Yet he was also a blowhard who didnt seem to realize when he was speaking outside the bounds of his expertise. If you were paying attention, you knew that his seeming level of confidence was unrelated to the value of what he had to say. Even as AI companies have managed to reduce their chatbots’ tendency to hallucinate, a certain degree of Clavin-ism has remained endemic to the category. But Ive been playing with a new ChatGPT feature called deep research, which OpenAI announced last week. Instead of just being glib and eager to please, it weaves together facts and analysis into results with real substance. Its not perfect, but it ranks with Googles NotebookLM among the most impressive AI research tools Ive tried. I dont believe Ive encountered a single hallucination in the tens of thousands of words its generated in response to my queries thus far. At the moment, taking advantage of deep research requires deep pockets: The feature is debuting as part of ChatGPT Pro, which costs $200 a month. (I treated myself to a one-off upgrade for February to try it outfingers crossed that Fast Company reimburses me.) If further testing goes as expected, OpenAI says, it will come to the $20/month ChatGPT Plus in a month or so. Once it does, I expect to use it frequently. OpenAIs blog post about deep research offers background on how it works, accompanied by charts showing its performance in various AI benchmarks. In use, what it feels like is a new kind of chatbot that actually does its homework. Far less dependent on a hermetically sealed LLM than most, it comes up with answers to questions in something closer to the way a human research assistant would, by consulting sources around the web in real time and synthesizing them into a cohesive whole. Its a much more fleshed out, immediately useful example of agentic AI than Operator, another recently introduced ChatGPT feature thats able to trawl the web on its users behalf. By human standards, deep research does its work swiftly, but its hardly instantaneous: OpenAI says to expect the process to take 5 to 30 minutes per query. As it chugs away, it usually displays a running list of notes. For example, following a request I made involving fast-food history, it noted Searched for McDonald’s number of locations in the 1960s. Once in a while, these snippets are mystifying non sequiturs: At one point, it told me If necessary, I will escalate to HR for guidance. Overall however, they make the feat of generating AI text feel less like a magic trick and more like a computational process we mere mortals might comprehenda welcome change from AIs often opaque nature. I threw a bunch of projects at deep research, such as writing a competitive analysis of the market for image editing software, explaining how mechanical watches work, comparing instant-photography technologies from Polaroid and Kodak, and chronicling attempts to suppress free speech in the U.S. from 1900 to 1950. In every instance, it came back with detailed responses full of well-chosen facts and crisp analysis, on a different plane of readability and quality than standard AI bot fare. It also provided Wikipedia-like citations for its work, a boon for full disclosure and an aid to further reading on a subject. Impressive though deep research is, certain types of requests revealed its weak spots. As with most generative AI bots, it has a relentlessly positive attitude that gets in the way of anything requiring critical appraisal: I tried to get it to be more blunt by asking about the most forgettable pop culture pap imaginable, and it always insisted everything was a cult favorite. And while OpenAI touts the feature as being able to provide hyper-personalized recommendations on purchases that typically require careful research, the more I knew about a product area, the less impressed I was by its advice. Its suggestions of cameras for street photography, for example, were muddled by some prices that were way, way off. And when I asked it about tablets capable of replacing a laptop, it waxed enthusiastic about the 2022 iPad Prosapparently unaware that Apple replaced them last year. ChatGPTs deep research feature really does go deeper than the average chatbotand it cites its sources clearly. Thanks to the features running notes and citations, some of its other current limitations are obvious. For instance, it often tried to read sources that might have been valuablesuch as Consumer Reportsand gave up because they were paywalled. It also doesnt seem to perform what I would consider truly dazzling feats of online derring-do, such as fishing material out of obscure PDFs salted away in the Internet Archives many nooks and crannies. OpenAIs blog-post announcement mentions expansion plans that encompass specialized data sources and subscription-based . . . resources, implying that deep research could get meaningfully better without reqiring foundational advances in its AI. Oh, and one other thing: It kept asking me if Id like its answers to include charts and diagrams. I always said yes, but it never provided any. It would be nice if it eventually got this option it mistakenly believes it already has. In 1984, the famously demanding technologist and visionary Alan Kay deemed the original Macintosh to be the first personal computer good enough to be worth criticizing. Even with its current rough edges, deep research might be the first general-purpose AI-enhanced research tool to clear that barboth a breakthrough right now and, with any luck, a preview of even better things to come. Youve been reading Plugged In, Fast Companys weekly tech newsletter from me, global technology editor Harry McCracken. If a friend or colleague forwarded this edition to youor if youre reading it on FastCompany.comyou can check out previous issues and sign up to get it yourself every Wednesday morning. I love hearing from you: Ping me at hmccracken@fastcompany.com with your feedback and ideas for future newsletters. Im also on Bluesky, Mastodon, and Threads. More top tech stories from Fast Company OpenAI shouldnt accept Elon Musks $97 billion bid to buy itThe eye-popping bid is too cheap to be taken seriously. But with Musk near the Trump White House, what happens next is anyones guess. Read More What exactly is the point of the AI Action Summit?As representatives convene in Paris this week to discuss the future of AI, tech companies are moving beyond discussion and taking decisive action. Read More How Apple could work with DeepSeek to pull ahead in the AI raceDeepSeek made American tech giants seem vulnerable, but it could be a boon to Apple. Heres why. Read More This website combines Wikipedia and TikTok to fight doomscrollingWikiTok users can swipe through an endless stream of Wikipedia article stubs, discovering random facts and interesting information along the way. Read More Roblox joins $27 million industry nonprofit to support online safetyThe gaming platform says its part of its ongoing work to promote safety for kids and others users. Read More Metas AI randomly tried to throw a weird party for methat I never asked forAfter I made a quip on Facebook about a Super Bowl ad, Metas AI curiously created a party invitation for meand Puppy Monkey Baby. Read More
Category:
E-Commerce
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