{"id":643253,"date":"2024-11-03T16:00:00","date_gmt":"2024-11-03T13:00:00","guid":{"rendered":"https:\/\/en.buradabiliyorum.com\/genai-suffers-from-data-overload-so-companies-should-focus-on-smaller-specific-goals\/"},"modified":"2024-11-03T16:00:00","modified_gmt":"2024-11-03T13:00:00","slug":"genai-suffers-from-data-overload-so-companies-should-focus-on-smaller-specific-goals","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/genai-suffers-from-data-overload-so-companies-should-focus-on-smaller-specific-goals\/","title":{"rendered":"#GenAI suffers from data overload, so companies should focus on smaller, specific goals"},"content":{"rendered":"<div>\n<p id=\"speakable-summary\" class=\"wp-block-paragraph\">\u201cThere is no AI without data, there is no AI without unstructured data, and there is no AI without unstructured data at scale,\u201d said <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.linkedin.com\/in\/chetkapoor\/\">Chet Kapoor<\/a>, chairman and CEO of data management company DataStax.<\/p>\n<p class=\"wp-block-paragraph\">Kapoor was kicking off a conversation at TechCrunch Disrupt 2024 about \u201cnew data pipelines\u201d in the context of modern AI <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/download-scripts-themes-apps\/\" data-internallinksmanager029f6b8e52c=\"9\" title=\"Download Scripts &amp; Themes &amp; Apps\" target=\"_blank\" rel=\"noopener\">app<\/a>lications, where he was joined by <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.linkedin.com\/in\/vanessalarco\/\">Vane<\/a><a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.linkedin.com\/in\/vanessalarco\/\">ssa Larco<\/a>, partner at VC firm NEA; and <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.linkedin.com\/in\/george-fraser-a0219230\/\">George Fraser<\/a>, CEO of data integration platform Fivetran. While the chat covered multiple bases, such as the importance of data quality and the role of real-time data in generative AI, one of the big takeaways was the importance of prioritizing product-market fit over scale in what really is still the early days of AI. The advice for companies looking to jump into the dizzying world of generative AI is straightforward \u2014 don\u2019t be overly ambitious at first, and focus on practical, incremental progress. The reason? We\u2019re really still figuring it all out.<\/p>\n<p class=\"wp-block-paragraph\">\u201cThe most important thing for generative AI is that it all comes down to the people,\u201d Kapoor said. \u201cThe SWAT teams that actually go off and build the first few projects \u2014 they are not reading a manual; they are writing the manual for how to do generative AI apps.\u201d<\/p>\n<p class=\"wp-block-paragraph\">While it\u2019s true that data and AI go hand in hand, it\u2019s easy to become overwhelmed by the sheer amount of data a company may have, some of it possibly sensitive and subject to strict protections, and maybe even stored across myriad locations. Larco, who works with (and sits on the board of) numerous startups across the B2C and B2B spectrum, suggested a simple-but-pragmatic approach to unlocking true value in these early days.<\/p>\n<p class=\"wp-block-paragraph\">\u201cWork backwards for what you\u2019re trying to accomplish \u2014 what are you trying to solve for, and what is the data that you need?\u201d Larco said. \u201cFind that data, wherever it resides, and then use it for this purpose.\u201d<\/p>\n<p class=\"wp-block-paragraph\">This is in contrast to trying to splash generative AI across the whole company from the get-go, throwing all their data at the large language model (LLM) and hoping that it spits out the right thing at the end. That, according to Larco, will likely create an inaccurate, expensive mess. \u201cStart small,\u201d she said. \u201cWhat we\u2019re seeing is companies starting small, with internal applications, with very specific goals, and then finding the data that matches what they\u2019re trying to accomplish.\u201d<\/p>\n<p class=\"wp-block-paragraph\">Fraser, who has led \u201cdata movement\u201d platform Fivetran since its inception 12 years ago, amassing big-name customers such as OpenAI and Salesforce en route, suggested that companies should focus narrowly on real issues they\u2019re facing in the now.  <\/p>\n<p class=\"wp-block-paragraph\">\u201cOnly solve the problems you have today; that\u2019s the mantra,\u201d Fraser said. \u201cThe costs in innovation are always 99% in things you built that didn\u2019t work out, not in things that worked out that you wish you had planned for scale ahead of time. Even though those are the problems we always think about in retrospect, those are not the 99% of the cost you bear.\u201d<\/p>\n<p class=\"wp-block-paragraph\">So much like the early days of the web and, more recently, the smartphone revolution, early applications and use cases for generative AI have shown glimpses of a powerful new AI-enabled future. But so far, they haven\u2019t necessarily been <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/game\/\" data-internallinksmanager029f6b8e52c=\"7\" title=\"Game\" target=\"_blank\" rel=\"noopener\">game<\/a>-changing.<\/p>\n<p class=\"wp-block-paragraph\">\u201cI call this the Angry Birds era of generative AI,\u201d Kapoor said. \u201cIt\u2019s not completely changing my life, no one\u2019s doing my laundry yet. This year, every enterprise that I work with is putting something into production \u2014 small, internal, but putting it into production because they\u2019re actually working out the kinks, on how to form the teams to go and make this happen. Next year is what I call the year of transformation, when people will start doing apps that actually start changing the trajectory of the company that they work for.\u201d<\/p>\n<\/div>\n<blockquote><p><strong><span style=\"color: #ff6600;\">If you liked the article, do not forget to share it with your friends. Follow us on\u00a0<span style=\"color: #ff0000;\"><a style=\"color: #ff0000;\" href=\"https:\/\/news.google.com\/publications\/CAAqBwgKMN63nwsw68G3Aw\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Google News<\/a><\/span>\u00a0too, click on the star and choose us from your favorites.<\/span><\/strong><\/p><\/blockquote>\n<blockquote>\n<p style=\"text-align: center;\"><strong>If you want to read more like this article, you can visit our <span style=\"color: #ff9900;\"><a style=\"color: #ff9900;\" href=\"https:\/\/en.buradabiliyorum.com\/technology\/\" target=\"_blank\" rel=\"noopener\">Technology<\/a><\/span> category.<\/strong><\/p>\n<\/blockquote>\n<p><span style=\"color: black;\"><a style=\"color: #ff9900;\" href=\"https:\/\/techcrunch.com\/2024\/11\/03\/genai-suffers-from-data-overload-so-companies-should-focus-on-smaller-specific-goals\/\" target=\"_blank\" rel=\"noopener\">Source<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u201cThere is no AI without data, there is no AI without unstructured data, and there is no AI without unstructured data at scale,\u201d said Chet Kapoor, chairman and CEO of data management company DataStax. Kapoor was kicking off a conversation at TechCrunch Disrupt 2024 about \u201cnew data pipelines\u201d in the context of modern AI applications,&#8230;<\/p>\n","protected":false},"author":1,"featured_media":643254,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/techcrunch.com\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-30-at-14.46.17-1-e1730324905537.png?resize=1200,798","fifu_image_alt":"","footnotes":""},"categories":[18],"tags":[77337,152570,152571,151520],"class_list":["post-643253","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-ai","tag-datastax","tag-fivetran","tag-techcrunch-disrupt-2024"],"_links":{"self":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/643253","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/comments?post=643253"}],"version-history":[{"count":0,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/643253\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media\/643254"}],"wp:attachment":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media?parent=643253"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/categories?post=643253"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/tags?post=643253"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}