Thais Cooke
Employers on the program
- 2026Alliance Health1 talk
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- Data Day Texas
- Big Data LDN
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Oct 10, 2026 | Data AI Weekend 2026 (Austin) | Data Day Texas | speaker | How can a company measure whether AI is being used well? Everyone is being told to use AI; almost no one is being told how to tell whether it's working. | |
| Oct 10, 2026 | Data AI Weekend 2026 (Austin) | Data Day Texas | speaker | Where does AI actually belong in the workflow? Start with the actual work rather than the tool: map the workflow, find the friction, then ask where AI belongs. | |
| Sep 23, 2026 | Big Data LDN 2026 | Big Data LDN | speaker | Data for Good: Building a Better Future with Data, AI and Human Judgement as Alliance Health Data has never had greater potential to improve lives, protect communities and solve global challenges. But in the age of AI, 'doing good' is no longer defined…Show lessData has never had greater potential to improve lives, protect communities and solve global challenges. But in the age of AI, 'doing good' is no longer defined by intention alone. Organisations must demonstrate that their use of data delivers measurable outcomes while maintaining trust, transparency and accountability. This discussion explores what 'Data for Good' really means across healthcare, conservation, culture and community. The panel will debate the role of human judgement, ethical governance, responsible AI, data ownership and how organisations can prove genuine impact beyond technical success. | |
| Jan 24, 2026 | Data Day Texas + AI 2026 | Data Day Texas | speaker | The Human Layer of Data: Why Trust Lives in the Work Behind the NumbersIn data teams, trust is the real currency, and it starts long before a single line of code is written. When teams build it with intention, everything from…Show lessIn data teams, trust is the real currency, and it starts long before a single line of code is written. When teams build it with intention, everything from collaboration to decision-making becomes stronger. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Juan Sequeda | 3 | — | 2026 |
| Matthew Mullins | 3 | — | 2026 |
| Winfried Adalbert Etzel | 3 | — | 2026 |
| Aaron Black | 2 | — | 2026 |
| Alexandra Pasi | 2 | — | 2026 |
| Bill Inmon | 2 | — | 2026 |
| Jean-Georges Perrin | 2 | — | 2026 |
| Joe Reis | 2 | — | 2026 |
| Kierra Dotson | 2 | — | 2026 |
| Ryan Boyd | 2 | — | 2026 |
| Shachar Meir | 2 | — | 2026 |
| Aparna Sharma | 1 | 1 | 2026 |
| Filip Hnízdo | 1 | 1 | 2026 |
| Kasia Hayward | 1 | 1 | 2026 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.