#data applications

[great-and-small]

Yet another scientific article adding to the slowly growing mountain of evidence that suggests we might be able to save the world through bird-watching.

[sophiebaybey]

Not to preach to the choir but I wonder if people generally realize that AI models like ChatGPT aren't, like, sifting through documented information when you ask it particular questions. If you ask it a question, it's not sifting through relevant documentation to find your answer, it is using an intensely inefficient method of guesswork that has just gone through so many repeated cycles that it usually, sometimes, can say the right thing when prompted. It is effectively a program that simulates monkeys on a typewriter at a mass scale until it finds sets of words that the user says "yes, that's right" to enough times. I feel like if it was explained in this less flattering way to investors it wouldn't be nearly as funded as it is lmao. It is objectively an extremely impressive technology given what it has managed to accomplish with such a roundabout and brain-dead method of getting there, but it's also a roundabout, brain-dead method of getting there. It is inefficient, pure and simple.

[ranticore]

Do imimata show signs of fear of being recoded like they fear "death"?

It's very hard for most end users of digital imimata to parse emotions as expressed by imimata as there are often clauses [hard boundaries outside the encoding] forbidding them from all the obvious ways you might think. But the most extreme form is the physical manifestation outside the resonance chamber (creating a poltergeist-like effect)

Recoding is also often not as drastic as a full on death, it can be thought of as a spectrum from "slight make-over" to "complete recycling and rebirth" but it's actually not possible to remove an imimaton's encoding without fully disincorporating them (and therefore losing them forever) as that is their entire make-up and being. Encoding is the process of teaching or gathering experiences that inform a personality or presentation. It can only build on what already exists, never remove it. So, ordinarily, a recoding is just a new set of instructions and clauses to make an intimation behave differently - this is actually Nico's profession in this world, he recodes personal handheld imimata who have begun to show signs of manifesting or instability, 'fixing' them.

Where the removal of memories comes from is a different matter - external media storage has been in use for centuries. Originally taking the form of physical archives of books which an intimation could recollect from as long as they were present in the right part of the chamber, these obviously progressed to the digital era in the form of optical disks, tape, and solid state storage. This information is something the imimaton can recollect but is not strictly a part of them, so it can be removed. Some of them don't seem to like that though

[deeper-x-deeper]

thinking about the hypnosis "I'm going to break your mind" thing but in the way that I'm going to put it back together differently every time just to see what happens. It's not really fun to break a toy unless you're doing it to put it back together in various creative ways. rearrange the parts just to see if they'll still fit together. over and over until you become my greatest creation

[snailkites]

Dammit turns out becoming the state bird survey volunteer coordinator means I actually receive and have to answer emails. Wtf

[modeus-the-misanthrope]

Challenge for Mod Authors: Level Impossible

When writing down directions for how to fix issues in your mod, hand those instructions to 1 friend that doesn't have any experience in programming. If they say your instructions don't help solve their issue. Rewrite the instructions until it does.

[houseofdissension]

⸻  𐄁  𝐕𝐎𝐋𝐍𝐄𝐑-𝐃𝐎𝐖𝐍𝐄  𝐈𝐍𝐂.  //  𝐅𝐎𝐑𝐌  𝟎𝟗𝟗.𝐀

SUBJECT  INTAKE  FOR  DUAL-IDENTITY  REGISTRY FLOOR  OF  DISSENT  —  DISSENSION  INITIATIVE,  FLOOR  40  –  RESTRICTED All  data  collected  is  strictly  classified.  Retrieval  of  memory  post-submission  is  forbidden.

[  𝗩𝗢𝗟𝗡𝗘𝗥-𝗗𝗢𝗪𝗡𝗘  𝗜𝗡𝗖.  //  𝗗𝗜𝗦𝗦𝗘𝗡𝗦𝗜𝗢𝗡 𝗣𝗥𝗢𝗖𝗘𝗗𝗨𝗥𝗘 𝗙𝗢𝗥𝗠  ]

╰──  olivia cooke,  34,  cis-female,  she & her  ]   ＞  𝙾𝙱𝚂𝙴𝚁𝚅𝙴𝙳   𝙰𝚂𝚂𝙴𝚃   𝙻𝙾𝙶:  The  individual  known  informally  as  [  SCARLETT VALENTINE  ]  has  been  noted  for  presence  within  the  Downe’s  Hollow  parameters.  According  to  behavioral  estimates,  they  present  at  approximately  [  THIRTY-FOUR  ],  and  have  been  under  evaluation  for  [  SEVEN MONTHS  ].  During  scheduled  daylight  hours,  they  are  recorded  operating  in  the  role  of  [  DISSENSION EMPLOYEE  /  CODE HARMONIZATION OPERATOR  ].  Community  observation  reports  suggest  notable  behavioral  markers:  prone  to  [  MACABRE  ]  under  stress,  yet  reportedly  [  PRODIGIOUS  ]  in  collective  settings.  Volner-issued  residency  placement:  [  CORNELIUS CIRCLE / GUINEVERE LANES  ].  Echo  archetypes  detected  in  personality  patterns  include:  [  a blistered tongue, seared and branded by transgression and abuse and guilt; the mortar holding together a stalwart dam; echoes of the past, cloaked in spectral veils, transmuted into whispered horrors — a delicate alchemy of pain and poetry  ].  𝚂𝚃𝙰𝚃𝚄𝚂:  under  continued  observation..  Decompression  tolerance  uncertain.  Reintegration  probability:  INCOMPLETE. Continue on to Dissension Form below:

╰──  𝗗𝗜𝗦𝗦𝗘𝗡𝗦𝗜𝗢𝗡  𝗜𝗗𝗘𝗡𝗧𝗜𝗧𝗬  𝗦𝗨𝗣𝗣𝗟𝗘𝗠𝗘𝗡𝗧𝗔𝗟  𝗣𝗥𝗢𝗙𝗜𝗟𝗘  —  𝗙𝗟𝗢𝗢𝗥  𝟰𝟬  𝗥𝗘𝗖𝗢𝗥𝗗𝗦. 

＞  INTERNAL  IDENTIFIER:   SCAR V   ＞  DEPARTMENT  ASSIGNMENT:   DATA RECONCILIATION   ＞  TASK  UNDERSTANDING:    “I make nonsense make sense, then feed it to a machine that doesn’t care.”  ＞  LAST  PERFORMANCE  NOTE:   “Scar V has demonstrated consistent noncompliance within the Innie environment, frequently exhibiting defiant behavior and engaging in multiple attempts to breach containment protocol in an attempt to leave. Instances include the physical disruption of workflow and the aggressive misuse of office equipment toward colleagues. Notably, subject has already undergone the Remorse Index Recitation three times within the first seven months of assignment, an intervention typically reserved for higher-tier infractions. On the upside, she exhibits excellent emotional containment, especially when witnessing distress in others. Highly efficient under duress. Unclear if empathy is genuine or rehearsed.”  ＞  CROSS-MEMORY  TRACE  DETECTED?:   NO   ＞  DREAM  REPORT  (  IF  ANY  ):   A young, terrified voice saying she can’t quite recognize saying, “Don’t look at me like that,” though no one is in the room.  ＞  MOTIVATIONAL  SCORE:   ERRATIC 

𐄁  𝗩𝗢𝗟𝗡𝗘𝗥-𝗗𝗢𝗪𝗡𝗘  𝗜𝗡𝗖.  //  𝗣𝗢𝗦𝗧-𝗦𝗘𝗧𝗧𝗟𝗘𝗠𝗘𝗡𝗧  𝗢𝗡𝗕𝗢𝗔𝗥𝗗𝗜𝗡𝗚  𝗘𝗩𝗔𝗟𝗨𝗔𝗧𝗜𝗢𝗡

FORM  82-D  |  RESIDENCY  JUSTIFICATION  INTAKE: Your  responses  are  recorded  under  Civic  Harmony  Protocol  6.1.  Please  answer  with  full  clarity  and  personal  accountability.  Ambiguity  may  result  in  further  observation.

1. At  the  time  of  your  Procedure,  you  were  given  the  opportunity  to  decline.  And  yet,  you  proceeded.  Why  did  you  choose  Dissension?

Scarlett  leans  back  in  the  too-small  chair,  arms  folded  like  a  closing  statement.  One  brow  arches,  slow  and  surgical. ❝ Because  hell  with  fluorescent  lighting  that I wouldn't remember sounded  better  than  the  one  I  was  already  in.  ❞  Her  silence  lingers  just  long  enough  for  her  to  speak  without  words  —  the  way  her  leather  jacket  frames  her  shoulders  like  quiet  defiance,  &  how  her  jeans,  worn  soft  at  the  knees,  settle  into  their  own  steady  truth.   ❝ You  people  were  offering  a  clean  slate.  No  memories,  no  guilt, no  name  for  half  a  day. Just  buttons  to  press  and  rules  to  follow or whatever.  Sounded  like  a  spa  day  for  the  soul. ❞ The  whiskey  from  the  night  before  still  coats  to  the  back  of  her  throat  —  a  warm,  bitter-sweet  lacquer  that  strikes  like  a  slow-burning  ember,  equal  parts  comfort  &  corrosion.  ❝ Guess  I  should’ve  asked  about  the  fine  print.  Like  the  part  where  your  clean  slate  might  still  bleed  through.  ❞ Insert  hard,  razor-edged  look:  ❝ But  hey  —  what’s  a  little  corporate  haunting  between  strangers,  right? Gotta make a goddamn living somehow. ❞

2.  At  the  time  of  your  arrival,  what  were  you  running  from,  or  toward?

Her  fingers  drum  once,  twice,  against  the  cold  metal  of  the  table  before  curling  into  a  loose  fist.  Her  doe  eyes,  flat  and  unreadable,  flick  upward  like  a  flicked  switchblade.  She’s  never  been  one  to  temper  her  reactions  (  not  like  her  sister  )  —  discipline  wasn’t  part  of  the  armor  she  laced  on  each  morning,  right  alongside  those  worn,  unwashed  jeans  &  that  five-letter  snarl  of  a  personality:  bite  first,  never  bother  with  the  after.  Flattery  slides  off  her  like  rain  on  iron  —  useless,  dull.  So  when  she  answers  with  that  signature,  tight-jawed  grit,  it’s  easy  to  miss  the  flicker  —barely  there  —  of  something  sharper  than  disinterest,  a  faint  spark  catching  at  the  corner  of  her  hawkish  eyes.  A  glint,  brief  as  breath,  betraying  that  maybe  —  just  maybe  —  she’s  listening. ❝ Running? ❞  Scarlett  echoes,  like  the  word  tastes  foreign.  ❝ No,  see  —  running  implies  there  was  a  plan.  A  direction.  Something  stupidly  poetic. ❞  She  leans  back  slightly,  head  tilting.   ❝ I  walked.  Tripped,  maybe.  Fell  into  this  shit  town,  it  seems. ❞  Her  voice  drops,  low  and  dry.   ❝ But  for  the  sake  of  'playing  along'  let’s  just  say...  I  wasn’t  chasing  anything.  Just  hoping  the  next  place  wasn’t  worse  than  the  last. ❞  Her  throat  undulates  with  a  hard  swallow,  &  then,  with  a  grin  that  doesn’t  reach  her  eyes:  ❝ But  you  already  knew  that,  didn’t  you? ❞

3.  Do  you  believe  you  chose  this  life,  or  were  chosen  for  it?

Scarlett  scoffs  —  quiet,  dry  —  like  the  question  itself  left  a  bad  taste  in  her  mouth.  She  shifts  in  her  seat,  one  boot  tapping  a  lazy  rhythm  against  the  floor,  arms  crossed  like  armor  stitched  from  disdain.  ❝  Is  that  your  way  of  asking  if  I  believe  in  fate?   ❞ she  mutters,  voice  flat  but  laced  with  that  low,  razored  edge. ❝  'Cause  if  so,  the  answer’s a big ole' fuck  no.  I  believe  in  gravity  and  poor  decisions.   ❞ Her  fingers  ghost  along  the  table’s  edge,  pausing  for  a  beat,  like  she  might  say  more — like  something  almost  slips. It's  common  knowledge  that  she  speaks  in  sharpened  challenges,  each  one  flung  with  the  ease  of  someone  who’s  had  too  much  practice  and  not  nearly  enough  restraint.  By  now,  they  roll  off  the  fork  of  her  tongue  like  second  nature  —  acid-laced,  intentional,  impossible  to  misread.  She’s  mastered  the  art  of  wielding  judgment  like  a  weapon  while  hoisting  a  silent,  fluorescent  'KEEP  OUT'  sign  in  the  same  breath  —  an  elegance  of  deflection  honed  not  by  chance,  but  by  choice.  The  only  honest  thing  about  her right now  is  that  she  walked  straight  into  this  interrogation,  knowing  full  well  the  knives  it  would  throw.  And  still,  her  face  remains  carved  from  something  tougher  than  resolve  —  cheek  tight,  jaw  like  chewed  concrete,  each  brittle  muscle  grinding  down  on  the  weight  of  unsaid  things.  With  a  crooked  half-smile,  sharp  as  glass: ❝  Doesn’t  really  matter  if  I  chose  it  or  not,  does  it?  I'm  in  it.  That’s  the  punchline.  ❞

4.  When  you  envision  the  person  you  used  to  be,  what  part  of  them  still  lingers  in  the  current  design?

Exhaling  through  her  nose  —  sharp,  almost  amused  —  as  if  the  question  is  a  joke  told  poorly  at  the  wrong  end  of  the  world,  she  tilts  her  head  in  thought.  She  leans  forward  just  enough  to  let  the  light  catch  the  hollow  under  her  cheekbone,  hazel  eyes  flicking  up  with  that  signature  brand  of  mean-sweet  indifference.  ❝  Depends  on  who  you  ask,  ❞ she  mutters,  thumb  tracing  the  edge  of  the  table  like  she’s  thinking  about  gouging  it.  ❝  Some  might  say  the  attitude.  Others—  ❞  she  clicks  her  tongue,  considering,   ❝  —the  unfortunate  habit  of  surviving  things  I  probably  shouldn’t.  ❞  Setting  her  chin  on  her  knuckles,  Scarlett  lifts  her  gaze  again,  still  and  dry  and  razor-flat.   ❝ I  wouldn’t  know.  I  stopped  looking  at  her  a  long  time  ago.  ❞

𝐖𝐞𝐥𝐜𝐨𝐦𝐞  𝐭𝐨  𝐕𝐨𝐥𝐧𝐞𝐫-𝐃𝐨𝐰𝐧𝐞  𝐈𝐧𝐜.,  𝘸𝘩𝘦𝘳𝘦  𝘢𝘭𝘪𝘨𝘯𝘮𝘦𝘯𝘵  𝘪𝘴  𝘰𝘱𝘱𝘰𝘳𝘵𝘶𝘯𝘪𝘵𝘺  𝘢𝘯𝘥  𝘴𝘦𝘳𝘷𝘪𝘤𝘦  𝘳𝘦𝘧𝘪𝘯𝘦𝘴  𝘵𝘩𝘦  𝘴𝘦𝘭𝘧.  𝘠𝘰𝘶𝘳  𝘱𝘳𝘦𝘴𝘦𝘯𝘤𝘦  𝘩𝘢𝘴  𝘣𝘦𝘦𝘯  𝘯𝘰𝘵𝘦𝘥,  𝘺𝘰𝘶𝘳  𝘱𝘰𝘵𝘦𝘯𝘵𝘪𝘢𝘭  𝘳𝘦𝘤𝘰𝘨𝘯𝘪𝘻𝘦𝘥.  𝘞𝘦  𝘢𝘳𝘦  𝘱𝘭𝘦𝘢𝘴𝘦𝘥  𝘵𝘰  𝘣𝘦𝘨𝘪𝘯  𝘵𝘩𝘪𝘴  𝘫𝘰𝘶𝘳𝘯𝘦𝘺  𝘵𝘰𝘨𝘦𝘵𝘩𝘦𝘳.

𝗪𝗲’𝗿𝗲  𝗵𝗼𝗻𝗼𝗿𝗲𝗱  𝘁𝗼  𝗵𝗮𝘃𝗲  𝘆𝗼𝘂  𝘂𝗻𝗱𝗲𝗿  𝗼𝘂𝗿  𝗰𝗮𝗿𝗲. –  Compliance.  Continuity.  Purpose.

[sprinklecipher]

Turnabout Titles

Got curious about how often people applied the “Turnabout” naming scheme to their AA fics, so I crunched a bunch of numbers on AA fics across Ao3 and FFN to find out (and also maybe got a bit carried away looking for patterns…)

What I found:

Overall, about 4% of AA fics on Ao3 and 13% of AA fics on FFN include “Turnabout” in the title

Longer fics were more likely to have “Turnabout” in the title than were shorter ones, with about 14% of 30k+ AA fics on Ao3 featuring it in the title, compared to only about 2% of sub-1k AA fics

“Turnabout” fics were disproportionately likely to be crossovers—about 19% of AA fics with “Turnabout” in the title were crossovers, compared to 5% of AA fics overall

And here’s a graph for good measure:

Method details and raw numbers below the cut

Method: For the Ao3 numbers, I searched for fics in the “逆転裁判 | Gyakuten Saiban | Ace Attorney” fandom, limiting the results to English-language fics only and excluding restricted works (although at a glance, the same patterns appear to hold among restricted works). For the FFN numbers, I searched for fics in the “Phoenix Wright: Ace Attorney” fandom, filtered to English language only. Data collected 5/25/2024.

[petit-papillion]

Giving credit to original posters, creators, artists, photographers, and sources matters.

It matters to the person who put in the time and effort to create the content. Whether it's finding that photo and editing it to make it stand out. Or downloading that video, editing it, coloring it, turning it into a gif, adding subtitles, etc. Regardless of what you do (job/student), I'm sure you too would not like it if someone else takes credit for your work.

It matters to people who want to know context. Was it said by a fan, your favourite's bestie, a reputable journalist? Published by a tabloid or the New York Times? From last week or last year? Is it an original, or did someone get photoshopped in for a meme?

It matters to people who may want to explore more content of that particular publication, so they will continue to publish top-notch articles. Or give kudos to a budding artist for their outstanding art work, potentially encouraging them to create more. Or compliment that photographer on capturing their fave in just the right light.

It matters, because even though it may take you an extra minute or so to add on that name or link, it is the right thing to do.

[agileseen24]

"From Passion to Profession: Steps to Enter the Tech Industry"

How to Break into the Tech World: Your Comprehensive Guide

In today’s fast-paced digital landscape, the tech industry is thriving and full of opportunities. Whether you’re a student, a career changer, or someone passionate about technology, you may be wondering, “How do I get into the tech world?” This guide will provide you with actionable steps, resources, and insights to help you successfully navigate your journey.

Understanding the Tech Landscape

Before you start, it's essential to understand the various sectors within the tech industry. Key areas include:

Software Development: Designing and building applications and systems.

Data Science: Analyzing data to support decision-making.

Cybersecurity: Safeguarding systems and networks from digital threats.

Product Management: Overseeing the development and delivery of tech products.

User Experience (UX) Design: Focusing on the usability and overall experience of tech products.

Identifying your interests will help you choose the right path.

Step 1: Assess Your Interests and Skills

Begin your journey by evaluating your interests and existing skills. Consider the following questions:

What areas of technology excite me the most?

Do I prefer coding, data analysis, design, or project management?

What transferable skills do I already possess?

This self-assessment will help clarify your direction in the tech field.

Step 2: Gain Relevant Education and Skills

Formal Education

While a degree isn’t always necessary, it can be beneficial, especially for roles in software engineering or data science. Options include:

Computer Science Degree: Provides a strong foundation in programming and system design.

Coding Bootcamps: Intensive programs that teach practical skills quickly.

Online Courses: Platforms like Coursera, edX, and Udacity offer courses in various tech fields.

Self-Learning and Online Resources

The tech industry evolves rapidly, making self-learning crucial. Explore resources like:

FreeCodeCamp: Offers free coding tutorials and projects.

Kaggle: A platform for data science practice and competitions.

YouTube: Channels dedicated to tutorials on coding, design, and more.

Certifications

Certifications can enhance your credentials. Consider options like:

AWS Certified Solutions Architect: Valuable for cloud computing roles.

Certified Information Systems Security Professional (CISSP): Great for cybersecurity.

Google Analytics Certification: Useful for data-driven positions.

Step 3: Build a Portfolio

A strong portfolio showcases your skills and projects. Here’s how to create one:

For Developers

GitHub: Share your code and contributions to open-source projects.

Personal Website: Create a site to display your projects, skills, and resume.

For Designers

Design Portfolio: Use platforms like Behance or Dribbble to showcase your work.

Case Studies: Document your design process and outcomes.

For Data Professionals

Data Projects: Analyze public datasets and share your findings.

Blogging: Write about your data analysis and insights on a personal blog.

Step 4: Network in the Tech Community

Networking is vital for success in tech. Here are some strategies:

Attend Meetups and Conferences

Search for local tech meetups or conferences. Websites like Meetup.com and Eventbrite can help you find relevant events, providing opportunities to meet professionals and learn from experts.

Join Online Communities

Engage in online forums and communities. Use platforms like:

LinkedIn: Connect with industry professionals and share insights.

Twitter: Follow tech influencers and participate in discussions.

Reddit: Subreddits like r/learnprogramming and r/datascience offer valuable advice and support.

Seek Mentorship

Finding a mentor can greatly benefit your journey. Reach out to experienced professionals in your field and ask for guidance.

Step 5: Gain Practical Experience

Hands-on experience is often more valuable than formal education. Here’s how to gain it:

Internships

Apply for internships, even if they are unpaid. They offer exposure to real-world projects and networking opportunities.

Freelancing

Consider freelancing to build your portfolio and gain experience. Platforms like Upwork and Fiverr can connect you with clients.

Contribute to Open Source

Engaging in open-source projects can enhance your skills and visibility. Many projects on GitHub are looking for contributors.

Step 6: Prepare for Job Applications

Crafting Your Resume

Tailor your resume to highlight relevant skills and experiences. Align it with the job description for each application.

Writing a Cover Letter

A compelling cover letter can set you apart. Highlight your passion for technology and what you can contribute.

Practice Interviewing

Prepare for technical interviews by practicing coding challenges on platforms like LeetCode or HackerRank. For non-technical roles, rehearse common behavioral questions.

Step 7: Stay Updated and Keep Learning

The tech world is ever-evolving, making it crucial to stay current. Subscribe to industry newsletters, follow tech blogs, and continue learning through online courses.

Follow Industry Trends

Stay informed about emerging technologies and trends in your field. Resources like TechCrunch, Wired, and industry-specific blogs can provide valuable insights.

Continuous Learning

Dedicate time each week for learning. Whether through new courses, reading, or personal projects, ongoing education is essential for long-term success.

Conclusion

Breaking into the tech world may seem daunting, but with the right approach and commitment, it’s entirely possible. By assessing your interests, acquiring relevant skills, building a portfolio, networking, gaining practical experience, preparing for job applications, and committing to lifelong learning, you’ll be well on your way to a rewarding career in technology.

Embrace the journey, stay curious, and connect with the tech community. The tech world is vast and filled with possibilities, and your adventure is just beginning. Take that first step today and unlock the doors to your future in technology!

contact Infoemation wensite: https://agileseen.com/how-to-get-to-tech-world/ Phone: 01722-326809 Email: info@agileseen.com

[makkie-is-screaming]

i just applied to like 10 jobs hopefully one gets back to me

[deus-ex-mona]

farewell, my idiot son…

[agender-vampling]

Kinda wanna do one of thos..... like partner applications... friend applications... I saw one for CG Applications....

Not cause I would act on any of them mn not brave enough for that, but cus I wan the data... for who'd answer somthin like that..... I think it'd be cool......

what if I harvested your data you gave me willingly in a google doc and used it to make OCs I then selfship with in various ways... ha ha...

[jcmarchi]

Unlock the other 99% of your data - now ready for AI

New Post has been published on https://thedigitalinsider.com/unlock-the-other-99-of-your-data-now-ready-for-ai/

Unlock the other 99% of your data - now ready for AI

For decades, companies of all sizes have recognized that the data available to them holds significant value, for improving user and customer experiences and for developing strategic plans based on empirical evidence.

As AI becomes increasingly accessible and practical for real-world business applications, the potential value of available data has grown exponentially. Successfully adopting AI requires significant effort in data collection, curation, and preprocessing. Moreover, important aspects such as data governance, privacy, anonymization, regulatory compliance, and security must be addressed carefully from the outset.

In a conversation with Henrique Lemes, Americas Data Platform Leader at IBM, we explored the challenges enterprises face in implementing practical AI in a range of use cases. We began by examining the nature of data itself, its various types, and its role in enabling effective AI-powered applications.

Henrique highlighted that referring to all enterprise information simply as ‘data’ understates its complexity. The modern enterprise navigates a fragmented landscape of diverse data types and inconsistent quality, particularly between structured and unstructured sources.

In simple terms, structured data refers to information that is organized in a standardized and easily searchable format, one that enables efficient processing and analysis by software systems.

Unstructured data is information that does not follow a predefined format nor organizational model, making it more complex to process and analyze. Unlike structured data, it includes diverse formats like emails, social media posts, videos, images, documents, and audio files. While it lacks the clear organization of structured data, unstructured data holds valuable insights that, when effectively managed through advanced analytics and AI, can drive innovation and inform strategic business decisions.

Henrique stated, “Currently, less than 1% of enterprise data is utilized by generative AI, and over 90% of that data is unstructured, which directly affects trust and quality”.

The element of trust in terms of data is an important one. Decision-makers in an organization need firm belief (trust) that the information at their fingertips is complete, reliable, and properly obtained. But there is evidence that states less than half of data available to businesses is used for AI, with unstructured data often going ignored or sidelined due to the complexity of processing it and examining it for compliance – especially at scale.

To open the way to better decisions that are based on a fuller set of empirical data, the trickle of easily consumed information needs to be turned into a firehose. Automated ingestion is the answer in this respect, Henrique said, but the governance rules and data policies still must be applied – to unstructured and structured data alike.

Henrique set out the three processes that let enterprises leverage the inherent value of their data. “Firstly, ingestion at scale. It’s important to automate this process. Second, curation and data governance. And the third [is when] you make this available for generative AI. We achieve over 40% of ROI over any conventional RAG use-case.”

IBM provides a unified strategy, rooted in a deep understanding of the enterprise’s AI journey, combined with advanced software solutions and domain expertise. This enables organizations to efficiently and securely transform both structured and unstructured data into AI-ready assets, all within the boundaries of existing governance and compliance frameworks.

“We bring together the people, processes, and tools. It’s not inherently simple, but we simplify it by aligning all the essential resources,” he said.

As businesses scale and transform, the diversity and volume of their data increase. To keep up, AI data ingestion process must be both scalable and flexible.

“[Companies] encounter difficulties when scaling because their AI solutions were initially built for specific tasks. When they attempt to broaden their scope, they often aren’t ready, the data pipelines grow more complex, and managing unstructured data becomes essential. This drives an increased demand for effective data governance,” he said.

IBM’s approach is to thoroughly understand each client’s AI journey, creating a clear roadmap to achieve ROI through effective AI implementation. “We prioritize data accuracy, whether structured or unstructured, along with data ingestion, lineage, governance, compliance with industry-specific regulations, and the necessary observability. These capabilities enable our clients to scale across multiple use cases and fully capitalize on the value of their data,” Henrique said.

Like anything worthwhile in technology implementation, it takes time to put the right processes in place, gravitate to the right tools, and have the necessary vision of how any data solution might need to evolve.

IBM offers enterprises a range of options and tooling to enable AI workloads in even the most regulated industries, at any scale. With international banks, finance houses, and global multinationals among its client roster, there are few substitutes for Big Blue in this context.

To find out more about enabling data pipelines for AI that drive business and offer fast, significant ROI, head over to this page.

[wasteofmfzb]

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[katrani]

like, technically, i understand why cover letters are different from resumes

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